Micron revenue quadruples to $41.5B as AI boom drives memory chips into severe shortage

The memory chip crunch is paying off for this U.S. company

The AI boom has fueled dozens of new startups and minted a new class of billionaires. It has also produced a serious shortage of memory chips -- a critical component for compute-hungry AI models -- which some predict could persist through 2027. This era of RAMageddon isn't just a corporate problem. As demand spikes and squeezes supply, prices are rising and trickling down to consumers. Apple CEO Tim Cook warned just a week ago that price increases for its products are unavoidable. But amid this Mad Max-esque fight for memory chips, some companies are coming out ahead. Micron, the largest U.S. computer-memory chip maker -- with a market cap of $1.2 trillion -- is one of them. The company reported third-quarter earnings after markets closed Wednesday, and the results sent shares soaring more than 13%. Revenue quadrupled to $41.45 billion compared with the same period a year ago. The company's profit, meanwhile, rose from $1.88 billion to an incredible $28.2 billion year-over-year. The Idaho-based company also gave investors a positive outlook, forecasting fourth-quarter revenue of between $49 billion and $51 billion. The strong results arrive the same week Micron inked a deal to supply AI lab Anthropic with memory and storage chips. Micron also disclosed that it participated in Anthropic's Series H funding round, though it didn't disclose how much it invested.

Micron forecasts strong quarterly results on soaring memory chip demand

June 24 (Reuters) - Micron Technology (MU.O), opens new tab forecast quarterly earnings above Wall Street estimates on Wednesday, signaling heavy investments in AI-related infrastructure will drive strong demand for memory chips and sending shares up more than 15% in extended trading. The company expects fourth-quarter revenue of $50 billion, plus or minus $1 billion, compared with analysts' average estimate of $43.58 billion, according to data compiled by LSEG. The results and forecast show how the explosive growth of generative AI has turned products such as high-bandwidth memory (HBM) into critical components for large-scale data centers. The strong results add to ⁠a stock rally that allowed Micron to enter the elite $1 trillion club earlier this year on the back of its memory chip business. The stock has surged more than threefold this year, despite a 13% plunge on Tuesday as part of a broader selloff. SUPPLY CONSTRAINTS TO LAST Micron, a key supplier for Nvidia's (NVDA.O), opens new tab AI processors, has benefited as AI chip and server makers rush to secure a limited supply. Micron, the only U.S.-based manufacturer of high-end memory chips, has seen demand for its HBM chips far outstrip its production capacity, and analysts expect demand to exceed supply for the next two to three years. "The size and scale of the AI build out has been underestimated at every turn and memory will continue to command premium pricing on ⁠supply constraints," said Daniel Newman, CEO of tech research firm Futurum Group. Major memory chip makers are prioritizing high-bandwidth memory to meet AI demand, leaving consumer electronics makers scrambling to secure conventional memory and driving prices of products higher. "We expect tight conditions to persist beyond calendar 2027 as a result of AI-driven demand across all segments coupled with structural supply constraints," Micron CEO Sanjay Mehrotra said in the company's prepared remarks. "Even as ⁠we expect industry supply to improve gradually in 2028, we currently do not have line of sight as to when memory supply will be able to catch up with increasing demand," he added. SPENDING RAMPS Micron said it intends to increase its capital return, while it invests heavily ⁠in expanding infrastructure to satisfy soaring demand. The company expects fourth-quarter capital expenditure of around $10 billion, while analysts expect spending of $8.89 billion. Big Tech firms are expected to spend more than $700 billion on AI infrastructure this year, up from around $400 billion in ⁠2025. It reported third-quarter revenue of $41.46 billion, flying past estimates of $35.85 billion. The company reported adjusted profit of $25.11 per share, compared with estimates of $20.78 per share. Micron expects fourth-quarter adjusted earnings per share of $31, plus or minus $1, compared with the estimates of $25.84 per share. Reporting by Anhata Rooprai and Zaheer Kachwala in Bengaluru, Editing by Deepa Babington and Anil D'Silva Our Standards: The Thomson Reuters Trust Principles., opens new tab

Micron says the AI party is far from over, but not all are celebrating

The bears may be ready for bed, but the AI party doesn't look to be ending anytime soon, as evidenced by Micron's quarterly earnings on Wednesday. But which stocks stand to gain the most depends on where they sit in the data center supply chain. Micron delivered a blowout quarter , with sales more than quadrupling to $41.46 billion from $9.3 billion a year ago, and beating analyst estimates of $36 billion. Adjusted earnings of $25.11 per share topped the $20.78 expected from analysts polled by LSEG. And the good times are still rolling. The maker of memory and storage chips is now guiding revenue for the current quarter of about $50 billion, up from just $11.3 billion a year ago, and well ahead of the roughly $43 billion expected by the Street. Positive indicators But it was the earnings conference call that really got investors going. Management got right to the point: supply of memory and flash storage won't catch up with demand for a long while. CEO Sanjay Mehrotra said demand for DRAM and NAND "significantly" exceeds supply and will "beyond calendar 2027 as a result of AI-driven demand across all segments, coupled with structural supply constraints." "Even as we expect industry supply to improve gradually in 2028, we currently do not have a line of sight as to when memory supply will be able to catch up with increasing demand," Mehrotra said, noting that growth in the memory supply is dependent on "greenfield" expansions, or projects that start from scratch, rather than brownfield fabs, which entail modifying or upgrading existing infrastructure. Contributing to Micron's inability to ramp supply to levels that meet demand are long lead times for fab construction, skilled worker shortages, complex regulatory dynamics, and the need for "enhanced energy infrastructure," Mehrotra said. A skilled worker shortage is not an easy bottleneck to address. Management further laid out how the company is shifting from a cyclical commodity business to a contract-driven supplier to the AI boom. Micron has signed 16 long-term agreements with several customers, including hyperscalers, automakers, and AI infrastructure companies, and is locking in sales for three to five years. This transformation is great for Micron shareholders, as it will provide smoother, more predictable sales and earnings, reducing Micron's risk of overinvestment. But it also signals to investors more broadly that Micron's customers agree with the dynamics at play and are willing to sign legally binding multi-year contracts as a result, a signal that should increase confidence in the near- to medium-term sustainability of the AI investment cycle currently driving so much of the market. The report and call propelled Micron shares up 16% on Thursday. But the positive vibes aren't extending to all companies tied to the AI buildout. Not all AI stocks ride along So what does all this mean for investors? It depends largely on where your investments are in the AI infrastructure supply chain. The biggest immediate winners are fellow memory and storage stocks, including SanDisk , Western Digital , and Seagate Technology . Samsung and SK Hynix were also up in Asia overnight, following Micron's results. Companies that are higher up the supply chain -- such as suppliers of advanced materials -- also benefit, as massive demand for memory chips means Micron has to order a whole lot more stuff to make them. That bodes well for Club holdings Qnity Electronics , which provides materials used in the manufacturing of semiconductors and electronics, and Linde , which supplies rare and noble gases to the industry. Qnity rose 5.4%, while Linde gained 1.62%. It's also welcome news for stocks that help meet data centers' insatiable demand for power. In the portfolio, that means GE Verona , which sells gas turbines; Eaton , which provides electrification and liquid-cooling solutions; and Dover , which also sells liquid-cooling solutions for data centers. Because Corning sells fiber-optic-based connectivity solutions for data centers and doesn't have to purchase memory for its own products, it benefits from the demand for ever-faster, more energy-efficient compute. We trimmed Corning earlier on Thursday, though, because the stock has had a massive move this week . On the flip side, companies that need to buy more memory -- think of data center builders like Amazon , Microsoft , Alphabet , and Meta Platforms -- are less thrilled by Micron's report. These stocks are out of favor for the moment, no matter how much you argue that the AI spending comes with a positive return on investment (ROI). That's why we're seeing the hyperscale players all down on Thursday, as Micron's results suggest they'll have to keep spending billions of dollars to stay competitive in the AI arms race. Meta has already raised its capital expenditure outlook for this year due to higher component costs, such as memory. Logic chip manufacturers, including Nvidia and Intel , also have to contend with higher memory costs. While their pricing power allows them to pass costs through to protect profits, the memory bottleneck limits upside to estimates, as supply can't meet demand. Higher prices can also lead to some demand destruction and, for some of Nvidia's larger customers, an increased desire to invest in custom silicon that competes with Nvidia's GPUs to run specific workloads more efficiently. That's a key reason for our stake in Broadcom , which supplies those chips. Higher memory costs are also a headwind for Broadcom, but it has a strong AI networking business to help drive revenue growth outside of the custom silicon business. Shares of Broadcom were flat on Thursday. Apple plunge Apple shares slide more than 5% following a round of price hikes on MacBooks and iPads. We knew higher prices were coming, but now we have the official numbers, and they're sizable, likely prompting fears of slowing sales despite the company's more affluent customer base. The iPhone was spared for now but will likely see price increases, at least on some models, later this year when the iPhone 18 is introduced. The Apple pain also likely explains the roughly 3% drop in Arm Holdings . While Arm recently unveiled its own chip, the company's bread and butter is selling IP and then taking either a fixed fee per unit sold or a percentage of the chip's average selling price. As a result, rising memory costs aren't a direct headwind, but they can create pressure if demand destruction is realized further down the chain. For example, if Apple sells a lower quantity of the Arm-based chips to power its products. Also likely factoring into Arm's price action: Rival Qualcomm announced Wednesday it would supply data center CPUs to Meta. While the chip is Arm-based, due to a complex legal history between the two, Qualcomm pays Arm a lower royalty fee than Arm would receive were Meta to buy from another supplier. So, if things are going to stay so great for Micron, does that mean you just get out of the ones Micron sells into? Not so fast. We don't jump in and out of the stocks of great companies, hoping to sell at the tops and buy at the bottoms. That's not our game; we look to buy great names at good prices and stick with them for the long term. In his book "Common Stocks and Uncommon Profits," famed investor Philip Fisher divided growth companies into two categories: those that are "fortunate and able" and those that are "fortunate because they are able." The "fortunate and able" companies are those with strong, capable management that can capitalize on industry tailwinds. The "fortunate because they are able" ones are companies that have both incredible management teams and the financial power and know-how to evolve, adapt, pivot, and innovate to create demand and further growth. Right now, the fortunate-and-able names are winning at the expense of the fortunate because they are able companies. The latter are still incredible companies and are out of favor largely because of their AI spending. But in the long term, they are most likely to come out even stronger. In the meantime, Micron shareholders can keep on partying. (See here for a full list of the stocks in Jim Cramer's Charitable Trust.) As a subscriber to the CNBC Investing Club with Jim Cramer, you will receive a trade alert before Jim makes a trade. Jim waits 45 minutes after sending a trade alert before buying or selling a stock in his charitable trust's portfolio. If Jim has talked about a stock on CNBC TV, he waits 72 hours after issuing the trade alert before executing the trade. THE ABOVE INVESTING CLUB INFORMATION IS SUBJECT TO OUR TERMS AND CONDITIONS AND PRIVACY POLICY , TOGETHER WITH OUR DISCLAIMER . NO FIDUCIARY OBLIGATION OR DUTY EXISTS, OR IS CREATED, BY VIRTUE OF YOUR RECEIPT OF ANY INFORMATION PROVIDED IN CONNECTION WITH THE INVESTING CLUB. NO SPECIFIC OUTCOME OR PROFIT IS GUARANTEED.

Micron's revenue quadrupled as AI memory demand pushes gross margins above 81 percent

Micron Q3 revenue hit $41bn, quadrupling year-over-year on surging AI memory demand, with gross margins above 81 percent and Q4 guidance of $50bn. Micron Technology posted fiscal third-quarter revenue of nearly $42bn, quadrupling from just over $9bn a year earlier and beating Wall Street estimates by a wide margin. The results, reported on Tuesday, confirm that the company riding the AI memory boom hardest is the one whose stock has already climbed roughly 700 percent over the past year. Adjusted earnings came in above $25 a share, compared with analyst expectations of roughly $21. GAAP net income exceeded $28bn, or nearly $25 a share, up from just under $2bn in the year-ago quarter. Gross margins hit above 81 percent, up from 69 percent in the prior quarter and 27 percent a year earlier. The headline number is revenue growth. Micron brought in nearly $42bn against a consensus estimate of roughly $36bn, driven almost entirely by surging demand for high-bandwidth memory, the stacked DRAM chips that sit next to GPUs inside AI accelerators built by Nvidia and Google. HBM has become the binding constraint on AI infrastructure expansion, and Micron is one of only three companies in the world that can make it. CEO Sanjay Mehrotra said Micron can currently fulfil only between half and two-thirds of customer demand for HBM. The company's entire 2026 HBM supply is sold out under multi-year contracts, and it has collected $22bn in customer cash deposits, essentially prepayments from hyperscalers desperate to lock in supply. Micron's next-generation HBM4 chips are ramping what the company described as twice as fast as the previous HBM3E generation. HBM4 revenue has already exceeded one billion dollars. The technology is essential for the latest accelerators from Nvidia and Google, where memory bandwidth rather than raw compute increasingly determines inference throughput. The forward guidance was equally aggressive. Micron projected fiscal fourth-quarter revenue of approximately $50bn, plus or minus one billion, against analyst estimates of roughly $44bn and a year-ago figure of just over $11bn. The company raised its full-year capital expenditure forecast to more than $25bn, up from a previous target of $20bn, to expand production capacity for HBM and advanced DRAM. Micron's market capitalisation crossed one trillion dollars on 26 May, making it the latest memory chipmaker to reach that threshold as the AI-driven memory supercycle reshapes valuations across the semiconductor industry. The stock's roughly 700 percent gain over the past year reflects a market that is pricing memory not as a cyclical commodity but as structural AI infrastructure. The company said it expects the total addressable market for HBM to grow at a compound annual rate of roughly 40 percent through 2028, rising from approximately $35bn in 2025 to around $100bn. Micron plans to return 100 percent of excess free cash flow to shareholders, a commitment enabled by the cash deposit programme that reduces the capital risk of its expansion. There are caveats worth noting. Micron remains the smallest of the three HBM suppliers, behind SK Hynix and Samsung, and its share of Nvidia's HBM4 allocations is the thinnest of the trio. The broader memory market is also shifting, with Chinese manufacturers like CXMT expanding aggressively into consumer DRAM segments that the Big Three have deprioritised in favour of AI chips. Memory pricing is cyclical by nature, and the current supercycle depends on hyperscaler capital expenditure continuing at its current pace. If AI infrastructure spending slows or HBM supply catches up with demand, the margins that Micron reported this quarter would compress rapidly. The 81 percent gross margin is historically extraordinary for a memory company and reflects shortage economics as much as product superiority. For now, the numbers speak for themselves. Revenue that quadruples in a year, margins that triple, and a guidance print that exceeds estimates by more than $6bn are not normal results for any company, let alone one that was losing money two years ago. Micron's earnings confirm that the AI memory shortage is intensifying, not easing, and that the companies making the chips inside AI accelerators are capturing value at a rate the market is still recalibrating to price.

Micron revenue more than quadruples as AI boom leads to soaring memory prices

Micron's revenue more than quadrupled in the fiscal third quarter, the company said on Wednesday, as the memory maker continued to benefit from soaring demand tied to the artificial intelligence boom. The stock rose about 5% in extended trading. Here's how the memory maker did versus LSEG consensus estimates: * Revenue: $41.46 billion versus $35.84 billion estimated * EPS: $25.11, adjusted, versus $20.78 estimated Revenue increased from $9.3 billion a year earlier, Micron said in a statement. For the current quarter, the company said it expects revenue of about $50 billion, up from $11.3 billion a year earlier. Analysts were looking for a revenue forecast of $43.58 billion, according to LSEG. Memory prices have skyrocketed in the last couple years as AI chips eat up all the production capacity of the small crop of vendors. With data center demand increasing by the day, prices are also rising for memory used in smartphones, laptops and other gadgets. That's turned Micron into a Wall Street darling as its technology is essential for chips made by Nvidia and Google, as well as the servers that house those companies' processors. Micron's stock price is up roughly 700% over the past year, lifting the company's market cap past $1 trillion.

How one chip stock reversed the global tech selloff, exposed AI's 'memory tax' and made the case for an entire valuation regime change | Fortune

Micron's blowout quarter wasn't just a beat. It was a restructuring of how Wall Street will price memory -- and maybe all of semiconductors -- for years to come. The bears had been sharpening their claws all week. Korean semiconductor stocks had wobbled. Chatter about AI demand peaking was growing louder in the corridors of hedge funds and on trading desks from Midtown Manhattan to Tokyo's Marunouchi. The tech sector, after a relentless run higher, was starting to feel like a crowded theater with someone quietly pointing toward the exit sign. Then, after the close on Tuesday, Micron Technology dropped its earnings report -- and the theater filled back up. Revenue of $41.5 billion. Gross margins of 84.9%. EPS of $25.11. Every figure landed well above what Wall Street had expected, blowing past a Street consensus of $35.9 billion in revenue and $20.86 in earnings per share. More startling than the numbers themselves was the guidance: Micron told investors to expect $50 billion in revenue next quarter -- roughly $6.5 billion more than analysts had penciled in, at a consensus of $43.6 billion. Its stock, which closed Tuesday at $1,048.51, jumped sharply in after-hours trading, pulling up NVIDIA, AMD, and the broader semiconductor complex with it. "Tech investors will be in a very positive mood and breathe a sigh of relief," Wedbush Securities' Dan Ives wrote in a note to clients, with the typically bullish analyst reaching for the kind of hyperbole that sounds extreme until you check the tape. He called it a "drop the mic quarter." Other analysts argued that this might be quite a bit more than that. Buried inside the earnings call and the cascade of analyst notes that followed was something that could reshape how investors think about memory chips -- and possibly the entire AI infrastructure trade -- for a generation. The machine that ate the data center To understand what Micron reported Tuesday night, you first have to understand what has happened to memory over the past two years. Memory chips -- the DRAM and NAND that store and move data inside computers and servers -- have historically been the most brutally cyclical corner of the semiconductor industry. Prices spike, manufacturers overinvest, supply floods the market, prices crater, manufacturers pull back, and the whole thing starts again. For decades, buying a memory stock felt less like investing in a technology company and more like betting on the weather. AI may not have broken that cycle, but it bent severely. The explosion of large language models and AI inference infrastructure has created a class of memory demand that is qualitatively different from anything that came before it. High-Bandwidth Memory -- the stacked, specialized DRAM that sits directly atop AI accelerators like NVIDIA's Blackwell chips -- cannot simply be manufactured faster by throwing more money at the problem. Building the cleanrooms takes years, the process nodes are among the most complex in semiconductor manufacturing and labor is constrained. The result: memory demand is, right now, running significantly ahead of supply -- and Micron says it expects that gap to persist beyond 2027. On Tuesday night, the company extended that forecast, telling investors there is no clear line of sight to when supply will catch up. "The company states that, as the AI market expands, memory intensity will increase and memory will become a strategic device, and that this shift is still in its early stages," Jefferies' Tokyo-based analyst Masahiro Nakanomyo wrote in a note to institutional clients. The data bore that out. DRAM revenue of $31.3 billion was up 67% quarter-over-quarter, representing 76% of total company sales. Average selling prices for DRAM rose approximately 60% in the quarter and core data center revenue -- the segment most directly tied to AI infrastructure -- more than doubled sequentially, reaching $11.5 billion, up 653% year-over-year. "We are seeing no cracks in AI demand on the chips, hardware, or software front," Ives wrote, "which gives us a bright green light to own the core tech winners into year-end." In other words: what AI bubble? The contracts that changed everything But the numbers, extraordinary as they were, were almost secondary to the structural announcement buried deeper in the call. Micron disclosed that it has now signed 16 Strategic Customer Agreements -- SCAs -- with customers ranging from four large hyperscalers to medium-sized technology companies to nine smaller automotive suppliers. These are not soft letters of intent. They are five-year, take-or-pay contracts, running from 2026 through 2030, with binding volume commitments and rigid pricing terms. Customers who walk away from them do not get their money back: Micron has collected $18 billion in cash deposits and $4 billion in letters of credit -- $22 billion in total financial commitments -- as guarantees. Each contract contains a ceiling and a floor. The ceiling is pegged to current market prices -- roughly where DRAM was trading in the second calendar quarter of 2026. The floor is set at levels that, according to Micron's management, would generate gross margins above the company's best-ever quarterly performance in any prior industry cycle -- a historical peak in the low-60% range. So the worst-case pricing scenario in these contracts is better than the best Micron has ever done in a downturn. "The historical ceiling," noted Stifel analyst Brian Chin, "is now a floor". For Wall Street, this represented something close to a paradigm shift. Memory companies have historically traded at depressed multiples precisely because their earnings are wildly unpredictable. The SCAs introduce, for the first time at scale, contractual earnings floors across a multi-year horizon. The boom-bust model that defined memory investing for 40 years may not be dead, but it has been materially altered. Stifel's Chin called it "concrete evidence of a paradigm shift" that "could temper the downside swings that characterized past cycles." "The memory tax" Not everyone in the analyst community was unambiguously cheering. Vivek Arya, BofA's lead semiconductor analyst and one of the sharpest voices on the street, reaffirmed his Buy rating and raised his price target to $1,550 -- the highest target among major banks -- up from $1,500 previously. But he introduced a concept that other analysts danced around without naming: the memory tax. Memory, Arya noted, now accounts for roughly 35% of AI infrastructure capital expenditure. As prices have soared, Micron and its peers have effectively become a toll booth on the AI highway -- collecting an ever-larger share of every dollar that hyperscalers like Microsoft, Google, Amazon, and Meta spend building out their data centers. That dynamic has a natural limit. Push the toll too high and the drivers start looking for alternate routes -- or slow down. In price-sensitive markets like mobile phones and automobiles, already operating on thin margins, memory price spikes can tip purchasing decisions, crimp demand, and eventually feed back into oversupply. "Elevated memory pricing could act as a 'tax' on data center customer capex growth," Arya wrote, "while also leading to potential demand destruction in price-sensitive end markets like mobile and auto." The SCA pricing caps -- which moderate Micron's near-term upside -- exist partly because Micron's biggest customers pushed back. Locking in supply at current prices, for five years, with a ceiling on further increases, is a rational move for a hyperscaler facing its own cost pressures. Morgan Stanley's Joseph Moore noted the dynamic candidly, writing that some Micron disclosures "have led to some sentiment that the company is capping prices." Of course, the bulls note, gross margins heading toward 90% and a structural floor well above prior cyclical peaks make the "capped" scenario extraordinarily profitable by any historical standard. BofA noted that gross margins are expected to peak in the high-80% range over the next few quarters before some normalization sets in, as rising bit costs from new capacity and technology transitions weigh on the other side. "While bears may focus on pricing moderation," Arya wrote, "we see continued evidence supporting a structural rerating." The case for regime change That word -- rerating -- is not one that Wall Street uses lightly. For years, memory stocks have traded at single-digit earnings multiples during their best years, because investors assumed the good times wouldn't last. The memory cycle was treated like a commodity: buy low, sell when the upcycle peaks, exit before the inventory pile-up arrives. BofA argued explicitly that Micron should structurally rerate to 12x-15x P/E, versus a historical range of 8x-10x -- a re-rating of 50% or more on the valuation baseline -- driven by the SCA structure, the AI demand durability, and the FCF profile now taking shape. At current prices, Micron trades at roughly a 10% free cash flow yield, according to BofA's model. BofA projects TTM free cash flow exceeding $100 billion within the next 12 months, with margins expanding. Morgan Stanley's Moore bumped his price target to $1,200 from $1,050, and kept his Overweight rating. He lifted his FY27 EPS estimate by 40% to $168 per share and his FY27 FCF estimate from $104 billion to $140 billion. "DRAM fundamentals are in uncharted territory, and should continue to improve as datacenter/AI markets continue their upward trajectory," he wrote. Micron's 20-year, $200 billion U.S. investment plan, backed with support from the Trump administration's CHIPS program, is already underway: Idaho Fab 1 is on track for its first wafer output in mid-2027, and construction on Fab 2 has accelerated with operations targeted for late 2028; the New York fab broke ground in January 2026. The catalyst hiding inside all of this is the CHIPS Act clock. On December 9, 2026, two years after Micron signed its definitive CHIPS Act agreements, restrictions on certain uses of the company's cash expire. Management has committed to returning 100% of excess free cash flow to shareholders thereafter. BofA models $31.7 billion in buybacks for fiscal year 2027 alone -- and notes, pointedly, that this represents only approximately 25% of the free cash flow Micron is likely to generate that year. Net cash on the balance sheet is projected to reach $140 billion by the end of fiscal 2027. For context on the scale of that number: Micron's net cash was negative as recently as late 2025. The global ripple Micron's results do not exist in isolation. They are, in effect, a real-time audit of the AI infrastructure buildout -- conducted by the company supplying one of its most critical and constrained inputs. When Micron says memory demand will exceed supply beyond 2027, that is also a statement about NVIDIA's order book, about Microsoft's Azure expansion, about Meta's data center ambitions, about the capex plans of every hyperscaler that has bet its next decade on AI. When it says it is accelerating construction of new fabs in Idaho, New York, Taiwan, and Singapore -- with FY26 capex now guided to $27 billion, up from a prior guide of $25 billion, and FY27 capex projected at $45 billion -- that is a statement about the earnings outlook for Applied Materials, Lam Research, KLA, ASML, Advantest, and the entire semiconductor equipment supply chain. Beyond data centers, Micron flagged an emerging demand driver that most AI coverage has yet to seriously price in. The penetration of Level 2 Advanced Driver Assistance Systems (ADAS) and above systems is expected to more than double to over 20% of new vehicles in 2026 and reach 40% by 2030. Level 2+ vehicles carry over five times the memory content of an average car. More striking still: humanoid robots carry 10 times the memory content of a Level 2 vehicle, and Micron described a "multi-decade memory demand cycle" in robotics expected to begin in the latter part of this decade. There are risks, of course. A recession that slows enterprise IT spending. A faster-than-expected ramp of Chinese memory competitors. A sudden softening of AI model training demand if frontier labs hit architectural walls. A geopolitical flare-up disrupting the Taiwan supply chain. Stifel's Chin enumerated the bear case in his own note: economic recession, over-expansion of supply, AI datacenter projections proving too aggressive, irrational pricing from new entrants, or delays on technology roadmaps, including HBM4 and next-generation NAND. Memory has surprised to the downside before, suddenly and violently, and the very complacency that comes with long-term contracts can mask the inventory buildup arriving at the margin. But Tuesday night's results made the bear case considerably harder to argue. For now, the sell-off is over. The memory tax is real. And the valuation regime may be changing faster than anyone expected. For this story, Fortune journalists used generative AI as a research tool. An editor verified the accuracy of the information before publishing.

Micron posts record results as AI boom drives 15-fold jump in profit

The US chipmaker Micron Technology has reported quarterly revenue and profit far above Wall Street's expectations, as insatiable demand for the memory chips that power AI transformed the firm's fortunes. Micron, one of only a handful of companies able to make advanced memory chips at scale, said on Wednesday that revenue in the third quarter reached $41.4 billion (€36.5bn), more than four times the $9.3 billion (€8.2bn) it recorded in the same period last year. The figure also comfortably beat the roughly $35.7 billion (€31.4bn) analysts had forecast, while profit climbed even more dramatically. The Idaho-based group posted net income of $28.24 billion (€24.9bn), or $24.67 per share, against less than $2 billion (€1.7bn) a year ago. Adjusted earnings of $25.11 a share sailed past the $20.49 expected. The market reaction to the impressive results was immediate. Micron shares rose more than 15% in after-hours trading to around $1,213, leaving the company valued at roughly $1.16 trillion (€1tn). The stock has now climbed about 700% over the past year, one of the most dramatic re-ratings of any large company through the AI boom, reflecting a fundamental shift in the economics of the AI build-out. The vast data centres being constructed by hyperscalers such as Amazon, Microsoft, Google and Meta, which have collectively earmarked hundreds of billions of dollars in capital spending this year, depend on enormous quantities of high-bandwidth memory, a specialised chip that sits alongside the processors made by Nvidia and others. Micron has said its entire 2026 output of these chips is already sold out under fixed-price contracts. According to CEO Sanjay Mehrotra, the results reflect what he called the strategic value of memory in the AI era. The company pointed to a series of multi-year customer agreements that it expects to make earnings more durable and predictable, a notable claim in an industry long defined by brutal boom-and-bust cycles. Margins to rival the biggest names What has startled analysts most is Micron's profitability. The company reported a gross margin of around 85% for the quarter, a level that now rivals or exceeds those of far larger technology names such as Nvidia and Meta, an extraordinary position for a memory maker historically squeezed by volatile chip prices. The tightness of supply, with new factories not expected to add meaningful output until 2028, has handed producers exceptional pricing power. Micron's guidance was more striking still. The company expects revenue of around $50 billion (€44bn) in the current quarter and adjusted earnings of roughly $31 a share, implying the boom is accelerating rather than fading. It is ramping up investment to match, lifting planned capital spending to about $27 billion (€23.7bn) this fiscal year and signalling a further jump in 2027, management told analysts during the earnings call. The results offer reassurance to investors betting that AI infrastructure spending remains robust, with Micron's order book serving as a real-time gauge of that demand. The open question, as ever in the memory industry, is how long the upswing can last before supply catches up. Even the most bullish observers acknowledge that risk has not completely disappeared.

Soaring memory chip demand helps Micron quadruple its revenue and crush expectations again

Soaring memory chip demand helps Micron quadruple its revenue and crush expectations again Memory chip maker Micron Technology Inc. more than quadrupled its revenue growth in the most recent quarter as it continued to benefit from surging demand linked to the artificial intelligence industry. The company reported third-quarter earnings before certain costs such as stock compensation of $25.11 per share, crushing Wall Street's target of $20.78 by a wide margin. Revenue for the period surged to $41.46 billion, up from just $9.3 billion in the year-ago quarter and well above the Street's target of $35.84 billion. Micron said its gross margin, which is its profit after accounting for the cost of goods sold, jumped to an incredible 84.9%, up from 74.9% in the previous quarter and just 39% one year earlier. All told, net income came to $28.24 billion at the end of the quarter, up from just $1.89 billion in the same period one year ago. Micron's gross margin is now the highest percentage among all major publicly traded U.S. tech companies, surpassing the previous leader Meta Platforms Inc., which recorded a gross margin of 81.9% in its latest quarter. In comparison, the AI chipmaker Nvidia Corp. only has a gross margin of 75%. It represents a remarkable increase in pricing power for a company that has long been seen as a manufacturer of a commodity product. For the current quarter, Micron said it's aiming for revenue of around $50 billion, meaning it doesn't expect to stop growing anytime soon. Wall Street has forecast sales of just $43.58 billion. The price of memory chips has skyrocketed in the last couple of years because AI chips are eating up all of the production capacity of a relatively small number of memory makers. Micron, along with Samsung Electronics Co. Ltd. and SK Hynix Inc., is one of the big three memory chip manufacturers, and none of them have been able to keep up with demand. With data center operators buying up all of the memory they can, prices are also increasing for the memory products used in personal computers, smartphones and other devices. Chief Executive Sanjay Mehrotra (pictured) told analysts on a conference call that customers are recognizing that the supply shortages in memory and storage are going to take a "considerable time to improve," even if he does believe that the supply situation will start to look better in 2028. Demand for memory has fueled a stunning rise for Micron, which is now one of the world's most valuable publicly traded companies. Its stock has risen by an extraordinary 700% in the last year, while its market capitalization last month surged past the $1 trillion mark. The stock gained more than 15% in late trading today following the report. Earlier today, Micron announced it had signed long-term contracts with 16 customers, including data center operators and automakers that lock in sales of memory chips for a period of between three and five years. "When completed, we expect approximately half or more of our company revenue to be under these agreements," Mehrotra told analysts. He explained that the customers had all signed binding agreements to purchase significant volumes of the company's memory chips. All told, those long-term agreements amount to financial commitments of around $22 billion, Mehrotra added. "This is good for Micron," insisted Chief Financial Officer Mark Murphy. "We get visibility on our demand, it's committed volume that we can be confident about making our investments." Revenue multiplied in all four of Micron's main business segments, but the most explosive growth was naturally seen in its core data center unit. There, sales increased more than sevenfold to $11.5 billion, up from just $1.53 billion in the same period one year ago. Those sales were not just about memory chips, though, with over $5 billion linked to customer purchases of solid-state storage drives, which the company also manufactures. The company also saw its cloud memory sales increase more than 300% to $13.77 billion in the quarter. Meanwhile, the mobile and client business saw revenue increase 250% to $11.52 billion, while memory sales for automotive and embedded applications gained more than 400%, rising to $4.63 billion. Micron said it plans to reward shareholders by paying out a dividend of 15 cents per share in July. Susquehanna analyst Mehdi Hosseini, who has a "buy" rating on Micron's stock, told CNBC that the company's stunning growth is all the more remarkable considering that the memory industry had been out of favor for more than 30 years prior. "With the memory wall playing out, customers have no choice but to pay a premium," he added.

Micron, Qualcomm shares surge after strong quarter, new chip deals

Micron quadrupled its revenue to more than $41bn this quarter, around $6bn more than analyst expectations. A surge in business from AI companies and high projected earnings have sent chipmakers Micron and Qualcomm's shares soaring. Leading chipmakers have become some of the main benefactors of the AI race as tech giants spend billions to build and tap into AI data centres to keep up with competitors. Micron witnessed a stellar quarter, quadrupling its revenue to more than $41bn - up from $9.3bn a year earlier, and around $6bn more than analysts' set expectation of roughly $35bn. The company expects revenue of around $50bn for the current quarter, up from $11.3bn the year before. Analysts expected this to range around $43bn. Micron's shares jumped in the double digit percentage following the news yesterday (24 June), before easing marginally. They had already more than tripled this year and outpaced all other major chip stocks in the US. Alongside the glowing quarterly report, the chipmaker announced yesterday that it signed 16 long-term agreements with data centre operators and automakers. It expects financial commitments of $22bn from the deals. Nvidia has also tapped Micron for its HBM4 memory chips for its next-generation Vera Rubin platform. The surging demand drove Micron's market value to more than $1trn just last month alongside South Korean chipmaker SK Hynix. Similarly, Qualcomm said it expects to create $15bn in sales from its data centre business by 2029. The company also expects $40bn in non-handset revenue by then - around double its previous fiscal target. Company chief financial officer Akash Palkhiwala told investors that the data centre business will bring in $5bn for the fiscal year 2027 - with $1bn alone from the custom chips it will sell customers. Shares went up 15pc following the news. Microsoft and Meta have tapped Qualcomm for its new AI chips that relies on cheap memory chips used in smartphones and laptops, while two unnamed hyperscalers will purchase custom chips, the company said. Qualcomm's move to AI chips comes as the smartphone market is negatively affected in a chip shortage driven by the continuously growing demand for AI infrastructure. Don't miss out on the knowledge you need to succeed. Sign up for the Daily Brief, Silicon Republic's digest of need-to-know sci-tech news.

Micron's Blockbuster, AI-Fueled Results Ignite Huge Rally for Memory Stocks

Get personalized, AI-powered answers built on 27+ years of trusted expertise. The AI rally is back on, with Micron leading the way. Micron Technology (MU) shares were up over 18% to $1,240 in premarket trading, suggesting a fresh high topping Monday's record, after the memory chipmaker posted earnings that blew past estimates thanks to booming AI demand. Other memory and data storage stocks also climbed, with Sandisk (SNDK) shares up some 16% premarket, while Western Digital (WDC) surged 15% and Seagate Technologies (STX) added 11%. The Roundhill Memory ETF (DRAM) and iShares Semiconductor Index Fund (SOXX) were up 14% and 6%, respectively. The rally is also lifting a number of other AI favorites, with Nvidia (NVDA) shares up 1%, and Advanced Micro Devices (AMD) jumping 4%. Intel (INTC) and Arm Holdings (ARM) shares were each up around 6%. Wedbush and Citi analysts both lifted their price targets for Micron to $1,400 following the results. Wedbush analysts said the details Micron provided around recent long-term contracts could provide "unprecedented revenue, margin and earnings certainty for an elongated period." The gains add to what's been a strong year for memory and data storage stocks, as big tech companies buy up the hardware to use in AI data centers. Micron, which has seen its stock rise nearly 270% in 2026 through Wednesday's close, is one of the best-performing stocks in the S&P 500 this year so far, behind only Sandisk (SNDK), Western Digital (WDC) and Seagate Technology (STX).

Beyond the Beat: How Micron is redefining the future of AI memory - ​Micron's Blowout Earnings Signal a New Era for AI Memory

Beyond the Beat: How Micron is redefining the future of AI memory 1/11 Micron's Blowout Earnings Signal a New Era for AI Memory Micron Technology delivered one of the strongest quarters in its history, posting record revenue and profits as demand for AI-related memory products continued to accelerate. The company also revealed a backlog of nearly $100 billion, highlighting strong customer commitments and improving revenue visibility. The earnings reinforced investor confidence that the AI boom is reshaping the memory industry. (Sources: TradingView, Investing.com, CNBC) 2/11 Record Quarter Beats Expectations Micron reported quarterly revenue and earnings well ahead of Wall Street expectations, driven by robust demand for AI memory products. The company also posted record gross margins and stronger cash generation, reflecting improved pricing, a favourable product mix and rising sales of high-value memory solutions used in AI infrastructure. 3/11 AI Is Reshaping Memory Demand For years, the memory industry largely depended on demand from PCs, smartphones and consumer electronics. Today, AI servers, cloud data centres and high-performance computing have emerged as the primary growth drivers. This shift is making memory demand stronger, more diversified and less dependent on traditional consumer spending cycles. 4/11 Why High Bandwidth Memory Matters High Bandwidth Memory (HBM) has become one of the most critical components powering artificial intelligence. It enables AI accelerators to process massive amounts of data at significantly higher speeds while consuming less power. As AI workloads continue to expand, demand for HBM is growing rapidly, making it one of the industry's highest-value products. 5/11 A $100 Billion Backlog Signals Strong Visibility One of the biggest highlights from Micron's earnings was its backlog of nearly $100 billion. The sizeable order book reflects long-term commitments from customers investing heavily in AI infrastructure and provides the company with exceptional revenue visibility. Investors see this as evidence that AI demand is likely to remain strong over the coming years. 6/11 Supply Constraints Continue to Support Pricing Micron indicated that supply remains tight across both DRAM and NAND memory markets, while demand continues to outpace available capacity. The company also noted that industry-wide capacity additions remain disciplined, allowing memory manufacturers to maintain favourable pricing and healthier profit margins. 7/11 Why This Memory Cycle Looks Different Unlike previous memory cycles that were marked by oversupply and sharp price declines, the current environment appears more structurally balanced. Long-term customer agreements, disciplined industry investments and the growing importance of premium AI memory products are helping create a more stable and profitable market for memory manufacturers. 8/11 Wall Street Becomes More Bullish Following the earnings announcement, Micron's shares surged to fresh highs as analysts raised their price targets and earnings forecasts. Many believe the company's strong backlog, improving profitability and growing exposure to AI infrastructure have fundamentally strengthened its long-term growth outlook. 9/11 Benefits Extend Beyond Micron Micron's strong results also reinforced optimism across the broader semiconductor industry. Companies involved in AI chips, foundry manufacturing, semiconductor equipment and cloud infrastructure are expected to benefit from sustained investment in artificial intelligence, making Micron's performance a positive indicator for the entire AI ecosystem. 10/11 Risks Remain Despite Strong Momentum Although the outlook remains positive, investors continue to monitor several risks. Any slowdown in AI spending, faster-than-expected capacity expansion, pricing pressure in HBM products or geopolitical restrictions on semiconductor exports could affect future growth. Customer inventory adjustments also remain an important factor to watch. 11/11 Key Investment Takeaways Micron's latest results suggest that the company is benefiting from a structural transformation in the memory industry rather than a temporary cyclical upswing. Strong AI demand, premium HBM products, disciplined supply growth and long-term customer commitments have significantly improved earnings visibility and strengthened the company's competitive position.

Micron Stock Is Up 300%. Why Does It Still Trade Cheaper Than Nvidia And Broadcom? - Broadcom (NASDAQ:AVG

The disconnect suggests Micron's explosive earnings growth has kept pace with, and perhaps even outstripped, its remarkable share price gains. Micron's Earnings Are Growing Even Faster Than Its Stock Micron's AI-fueled rally has been driven by surging demand for high-bandwidth memory (HBM) and other advanced memory products powering AI servers. That demand is translating into profits at a pace few companies can match. The company has posted EPS growth of more than 780% over the past year, while analysts expect earnings to grow another 109% over the next 12 months. Those numbers help explain why Micron's valuation has remained relatively restrained despite the stock's enormous run. Instead of investors simply bidding up the shares, rapidly expanding earnings have prevented valuation multiples from stretching to the same extent seen in other AI names. Nvidia And Broadcom Still Command Richer Multiples The comparison becomes more interesting when stacked against two of AI's biggest winners. Nvidia, now the world's most valuable company, trades at roughly 30 times trailing earnings and about 22 times forward earnings. Broadcom, another major beneficiary of AI infrastructure spending, carries a trailing P/E of around 62 and a forward multiple near 32. Micron, by comparison, trades at approximately 26 times trailing earnings and just 7.5 times forward earnings. That doesn't necessarily make Micron undervalued. Each company has different business models, margins and long-term growth profiles. But it does suggest investors are assigning a more conservative valuation to the memory maker despite its outsized earnings growth. AI's Memory Boom May Still Have Room To Run For years, memory chipmakers were viewed as cyclical businesses, with earnings swinging sharply alongside supply and demand. The AI boom is beginning to change that narrative. High-bandwidth memory has become one of the most critical components in AI servers, giving companies like Micron a larger role in the AI infrastructure buildout than many investors anticipated just a few years ago. That shift is also reflected in stock performance. While Nvidia remains the face of the AI revolution, Micron has quietly delivered one of the strongest returns in the Nasdaq 100 this year. The bigger surprise may not be the rally itself. It's that after a gain of more than 300%, Micron still trades at a lower earnings multiple than Nvidia and at less than half Broadcom's valuation, highlighting how rapidly the company's fundamentals have strengthened alongside the AI boom. Market News and Data brought to you by Benzinga APIs To add Benzinga News as your preferred source on Google, click here.

Micron Stock Soars as Results Blow Past Wall Street Expectations Amid Booming AI Demand

Get personalized, AI-powered answers built on 27+ years of trusted expertise. Could Micron be ready to resume its record-setting rally? Shares of Micron Technology (MU) were up 13% to $1,180 in extended trading Wednesday, suggesting a return to levels nearing Monday's record high, after the memory chip maker posted quarterly earnings that topped analysts' estimates and gave a rosy outlook, thanks to booming AI demand. Micron reported adjusted earnings of $25.11 per share for the fiscal third quarter on revenue that more than quadrupled year-over-year to $41.46 billion, well above the adjusted EPS of $21.05 on revenue of $36.28 billion analysts called for. Its margins surged to 84.6%, from 74.4% the previous quarter and 37.7% a year ago, as the chipmaker raised prices amid an industrywide shortage of memory parts. "Micron's record fiscal Q3 financial results and even stronger outlook for Q4 reflect the strategic value of memory in the AI era," Micron CEO Sanjay Mehrotra said in a release, adding that the company is "investing at record levels in technology, products and supply to address our customers' rapidly growing demand." Micron forecast current-quarter revenue of $49 billion to $51 billion and adjusted earnings per share of $30 to $32, also ahead of analysts' projections compiled by Visible Alpha. Its margins are seen climbing to about 86%. Micron, which has seen its stock rise nearly 270% in 2026 through Wednesday's close, is one of the best-performing stocks in the S&P 500 this year so far. Its performance has only been surpassed by three other memory stocks: Sandisk (SNDK), Western Digital (WDC) and Seagate Technology (STX).

Global chip stocks surge as blowout Micron results reignite AI rally

Global chip stocks experienced a significant rally on Thursday, fueled by Micron Technology's stellar financial results and optimistic outlook. The company's strong performance and forecast for robust demand, particularly in AI-driven sectors, have boosted investor confidence. This surge has positively impacted major players across the US, Europe, and Asia, signaling a sustained boom in the semiconductor industry. Global chip stocks surged on Thursday after Micron Technology's blockbuster results reignited the AI-driven rally, as investors grew more confident about persistent demand and tightening supply. Micron, a key supplier for Nvidia's AI chipsets alongside South Korean chipmakers, surged more than 17% in U.S. premarket trading after it forecast quarterly profit and revenue well above expectations. US MarketsPowered By As on 25 Jun 2026, 01:30 AM IST S&P 500 Top Gainers Builders FirstSource85.41(11.31%) Mohawk Industries119.09(9.60%) IQVIA Hldgs185.62(8.37%) Charles River202.10(8.31%) Gainers" S&P 500 Top Losers Coterra Energy32.56(-8.62%) Apollo Asset Management122.60(-6.13%) Blackstone112.99(-5.90%) Robinhood Markets97.19(-5.87%) Losers" The company, whose shares have more than tripled in value so far this ⁠year, also ⁠said its customers had committed $22 billion to lock in supplies of memory chips, underscoring how AI-driven demand is tightening the market. The stock was on track to add roughly $214 billion in market value at aprice level of $1,237.91, taking its total market capitalization to $1.39 trillion. That puts Micron right behind Meta Platforms and Tesla, whose valuations stand at $1.41 trillion and $1.42 trillion, respectively. Other U.S.-listed chip stocks also rose, with storage and memory peers Western Digital and SanDisk jumping more than 10% each, while Seagate Technology rose 9%. U.S.-listed shares of Arm Holdings and Marvell gained between 4% and 6%, while Broadcom climbed around 2%. Nvidia, the world's most valuable company, rose 1.2%. Qualcomm soared nearly 12% after the chip designer said it expects to generate $15 billion in ⁠sales from its data center business by 2029 as it moves beyond its core smartphone chips. Global tech shares fell earlier this week, with U.S. chip stocks retreating from record highs as investors reassessed lofty AI-driven valuations and questioned how quickly heavy spending on data ⁠centre infrastructure would translate into profits. Micron, a key supplier for Nvidia's AI processors and the only U.S.-based producer of high bandwidth memory (HBM) chips, said demand continues to far outstrip supply, allowing it and rivals SK Hynix and Samsung Electronics to charge a premium. Analysts at D.A. Davidson said Micron has entered "a new era" marked by unprecedented visibility and a memory cycle that "is far from over". It bumped the stock's price target to a Wall Street high of $2,000, nearly double its last close of $1,048.51. TECH STOCKS FROM SEOUL TO FRANKFURT RALLY In Europe, Dutch chip-equipment maker ASML, the region's most valuable company, rose nearly 4% following two days of heavy losses triggered by investors taking profits after a record surge. Infineon, STMicroelectronics and ASM International rose between 3% and 6%, helping provide the main support for benchmark indices. Europe's tech index was the biggest sectoral gainer, up more than 2%, bringing year-to-date gains to 21.4%. In Asia, South Korean chip heavyweights SK Hynix and Samsung Electronics closed higher at 13% and 5.3%, respectively. "We expect tight conditions to persist beyond calendar 2027," Micron CEO Sanjay ⁠Mehrotra said, pointing to strong demand and structural supply constraints. J.P. Morgan analysts said the company's shift toward multi-year customer agreements is "fundamentally transforming" its business model and underpinning a more durable earnings profile. LITTLE SIGN OF DEMAND DESTRUCTION J.P. Morgan said it saw little sign of demand destruction, adding that tight supply should persist and recommending investors "add on any dips", while maintaining an overweight stance on South Korea. "Memory shortages were triggered by the explosive need for AI factory infrastructure ... and we believe the role of memory as a strategic asset in Artificial General Intelligence remains unchanged," analysts at the U.S. bank said. South Korea's SK Hynix also said on Wednesday it plans to raise up to $29.4 billion through a U.S. stock market listing, boosting investor expectations of a reduced valuation gap between the chipmaker and its smaller U.S. rival Micron.

Micron Says AI Customers Are Paying Billions Today For Memory They Won't Get Until Years Later, Sanjay Me

Micron Technology Inc. (NASDAQ:MU) said Wednesday that customers are committing billions of dollars years in advance to secure future memory supply amid a prolonged shortage driven by artificial intelligence demand. Customers Lock In Future Supply The agreements include about $22 billion in customer commitments, including roughly $18 billion in cash deposits, under contracts spanning up to five years that currently cover about 20% of Micron's DRAM volume and one-third of its NAND volume, which is expected to eventually account for half or more of its revenue. Memory Tightness To Continue The company said it still does not have line of sight into when memory supply will catch up with AI-driven demand. "We expect tight conditions to persist beyond calendar 2027 as a result of AI-driven demand across all segments, coupled with structural supply constraints," Mehrotra told analysts. Much of the world's advanced memory supply is produced in South Korea, where SK Hynix and Samsung Electronics dominate the high-bandwidth memory market used in AI accelerators. AI Reshapes The Memory Business Micron has been one of the biggest winners of the AI boom, with shares soaring 232.23% year-to-date and 719.26% over the past year, despite Tuesday's 13% selloff during the broader tech rout. The company said AI demand is expanding beyond data centers into smartphones, PCs, automotive applications, industrial markets and robotics, broadening the long-term market for memory and storage products. Earnings Beat Wall Street estimates It expects fourth-quarter revenue of $50 billion, plus or minus $1 billion, versus estimates of $42.95 billion, and expects adjusted earnings of $31 per share, plus or minus $1, versus estimates of $25.50 per share. Price Action: Shares of Micron closed 0.3% lower at $1,048.51, but gained 15.78% to $1,213.96 in after-hours trading post the results. Bezninga edge rankings indicate MU has a Momentum score in the 99th percentile and a Growth score in the 82nd percentile. Disclaimer: This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors. Market News and Data brought to you by Benzinga APIs To add Benzinga News as your preferred source on Google, click here.

Micron forecasts strong quarterly results on soaring memory chip demand - The Korea Times

Micron logo is seen in this illustration taken June 11. Reuters-Yonhap Micron forecast quarterly profit and revenue well above expectations on Wednesday and said its customers had committed $22 billion to lock in future supply of memory chips, sending its shares surging 12 percent in after-hours trading. The forecast -- and third-quarter results that beat Wall Street estimates -- underscore how AI-driven shortages are forcing Micron's large-scale data center customers and other chip buyers to fund capacity, moves that are reshaping the memory market. Micron, which is the only U.S.-based manufacturer of high-end memory chips used alongside Nvidia's AI processors, has seen demand for these HBM chips far outstrip its production capacity. "We expect tight conditions to persist beyond calendar 2027 as a result of AI-driven demand across all segments coupled with structural supply constraints," Micron CEO Sanjay Mehrotra said in the company's prepared remarks. Micron's stock has surged more than threefold this year, despite a 13 percent plunge on Tuesday as part of a broader selloff. The chipmaker also outlined a business model shift aimed at making demand less cyclical. The $22 billion in commitments will come from 16 strategic customer agreements Micron has signed, spanning data center, consumer and automotive markets, with take-or-pay commitments, cash deposits and pricing floors designed to lock in supply and protect margins. Micron also said that remaining performance obligations -- a key indicator of future contracted revenue -- for the customer agreements it has entered into so far are around $100 billion. Supply constraints to last Micron, a key supplier for Nvidia's AI processors, has benefited as AI chip and server makers rush to secure a limited supply. "The size and scale of the AI build out has been underestimated at every turn and memory will continue to command premium pricing on supply constraints," said Daniel Newman, CEO of tech research firm Futurum Group. Major memory chip makers are prioritizing high-bandwidth memory to meet AI demand, leaving consumer electronics makers scrambling to secure conventional memory and driving prices of products higher. Mehrotra added that the company does not have a line of sight as to when memory supply will be able to catch up with increasing demand. "Any easing in supply could actually skew bearish for Micron. The bull case is built on tightness, once supply starts to creep back, pricing power is the first thing at risk," said Jake Behan, head of capital markets at Direxion. Spending ramps Micron said it intends to increase its capital return, while it invests heavily in expanding infrastructure to satisfy soaring demand. The company expects fourth-quarter capital expenditure of around $10 billion, while analysts expect spending of $8.89 billion. Separately on Wednesday, SK Hynix said it plans to raise up to $29.4 billion through a U.S. stock market listing. Micron reported third-quarter revenue of $41.46 billion, flying past estimates of $35.85 billion. The company reported adjusted profit of $25.11 per share, compared with estimates of $20.78 per share. Micron expects fourth-quarter adjusted earnings per share of $31, plus or minus $1, compared with the estimates of $25.84 per share.

Micron's AI Moment: Record earnings, strong guidance and what's next - ​Micron's blowout quarter

Micron's AI Moment: Record earnings, strong guidance & what's next 1/13 Micron's blowout quarter Micron delivered one of its strongest quarters ever, reporting record revenue, profits and margins while comfortably surpassing Wall Street expectations. The company also issued guidance that exceeded analyst forecasts, reflecting sustained demand for AI memory products. Investors responded positively, sending the stock sharply higher and sparking a rally across the global semiconductor sector. (Source: CNBC, Bloomberg, MarketWatch) 2/13 Quarterly performance Micron reported record quarterly revenue and earnings, driven by surging demand for high-performance memory used in artificial intelligence applications. The company also generated record gross margins and free cash flow, highlighting the strength of its product mix and improving profitability as AI infrastructure spending accelerated. 3/13 Guidance crushes expectations The company projected another strong quarter ahead, with revenue, earnings and margins all expected to exceed Wall Street estimates. Management said demand for AI memory solutions remains exceptionally strong, giving the company confidence that growth momentum will continue over the coming quarters. 4/13 Why AI is driving everything The rapid expansion of generative AI is creating unprecedented demand for advanced memory chips. Modern AI models require significantly larger amounts of High Bandwidth Memory (HBM), DRAM and high-performance storage than previous computing workloads, making memory one of the fastest-growing segments within the semiconductor industry. 5/13 Micron's biggest competitive advantage Micron believes the market for advanced AI memory will remain supply-constrained as demand continues to exceed available manufacturing capacity. This tight supply environment is enabling the company to command stronger pricing, improve profitability and strengthen its competitive position in the AI ecosystem. 6/13 Strategic customer agreements To capitalise on this demand, Micron has secured approximately $22 billion worth of long-term customer agreements. These contracts include pricing protections, customer deposits and multi-year commitments, providing greater revenue visibility while reducing earnings volatility. 7/13 Margins reach new heights Analysts believe Micron is increasingly moving away from the traditional boom-and-bust memory cycle. The company's growing exposure to premium AI memory products is supporting higher pricing power and structurally stronger margins, prompting some analysts to describe Micron as one of technology's new "margin kings." 8/13 Analysts turn more bullish Wall Street analysts responded enthusiastically to the earnings report, raising price targets and highlighting both the magnitude of the earnings beat and the strength of future guidance. The results reinforced confidence that AI-related demand remains significantly stronger than many investors had anticipated. 9/13 Global semiconductor rally Micron's earnings boosted sentiment across the technology sector. Shares of AI chipmakers, memory manufacturers and semiconductor equipment companies rallied globally as investors viewed the results as further evidence that enterprise AI spending remains healthy and resilient. 10/13 Why this matters for Nvidia Micron plays an increasingly strategic role in the AI supply chain because advanced GPUs rely heavily on High Bandwidth Memory. As AI models become greater and more complex, demand for premium memory continues to rise, making Micron an essential supplier to companies building next-generation AI infrastructure. 11/13 Risks to watch Despite the strong outlook, investors should continue monitoring several risks. Additional industry capacity could eventually ease supply shortages, while any slowdown in AI infrastructure spending or increased competition among memory manufacturers could put pressure on pricing and profitability over time. 12/13 Investment thesis Micron's investment case is supported by robust AI infrastructure spending, sustained shortages of advanced memory, premium pricing for High Bandwidth Memory products and increasing revenue visibility through long-term customer agreements. These factors suggest the company's earnings profile is becoming stronger and less cyclical than in previous memory cycles. 13/13 Key takeaways Micron has emerged as one of the biggest beneficiaries of the global AI investment boom. Record financial performance, sustained demand for advanced memory, improving profitability and strong forward guidance indicate that AI-driven growth remains intact. As memory becomes an increasingly critical component of AI systems, Micron is well-positioned to play a central role in the next phase of the semiconductor industry's expansion.

Micron Didn't Beat Expectations, It 'Annihilated' Them, Says This Analyst: MU Stock Pops Over 15% After H

Micron Crushes Estimates As AI Demand Drives Growth Micron reported third-quarter revenue of $41.46 billion, topping analyst estimates of $35.59 billion, while adjusted earnings came in at $25.11 per share, ahead of expectations for $20.63 per share. Total revenue jumped approximately 346% from a year earlier. The company also issued a strong forecast for the fourth quarter, projecting revenue of $50 billion, plus or minus $1 billion, and adjusted earnings of $31 per share, plus or minus $1. Analysts had been expecting revenue of $42.95 billion and earnings of $25.50 per share. Micron's board also declared a quarterly dividend of 15 cents per share. Analysts Point To Years Of AI-Driven Demand Following the results, Deepwater Asset Management's managing partner Gene Munster said the report suggests the AI infrastructure buildout remains in its early stages. "Results and guide show we are still early in the AI buildout," Munster wrote on X. Munster also pointed to comments from Micron's chief financial officer indicating the company expects to remain supply-constrained through fiscal 2028. He described the remarks as a significant positive for the AI trade and evidence that demand could continue to outpace supply for the next two years. Investor Gary Black echoed that view, noting Micron "blew away" third-quarter estimates and guided materially above consensus expectations. Black said shortages in memory chips have persisted as demand from AI, data centers, smartphones and other markets continues to exceed available supply. Micron 'Annihilated Expectations,' Says Daniel Newman Futurum Group CEO Daniel Newman was also among the bullish voices following the report. "$MU didn't just beat. It annihilated expectations," Newman wrote on X, while describing the company's projected gross margins of roughly 86% as "insane." Moor Insights & Strategy CEO Patrick Moorhead struck a more cautious tone. While acknowledging strong demand for high-bandwidth memory and AI-related products, he warned that memory markets have historically been cyclical and could face pressure if industry supply eventually catches up with demand. "This is my ninth memory cycle. Constructive on the cycle, skeptical on the trade," he wrote on the social media platform. Benzinga Edge Rankings place Micron in the 99th percentile for Momentum, reflecting robust gains across short, medium and long-term time frames. Disclaimer: This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors. Photo Courtesy: gguy on Shutterstock.com Market News and Data brought to you by Benzinga APIs To add Benzinga News as your preferred source on Google, click here.

Microsoft's AI Capex Cycle Is Repricing the Stock's Cash Flow Premium

Microsoft is living through a historic rout. The stock closed at $352.83 on June 25, down 3.45%, and tagged a fresh 52-week low near $349.20 in volatile Friday trade as the broad tech selloff deepened. The damage in June has been staggering: shares are down more than 21% on the month, tracking toward Microsoft's worst month since 2000 -- the dot-com crash. From the all-time closing high of $538.66 set on October 28, 2025, the stock has shed roughly 35%, and it's down about 24.5% year-to-date. This is not a pullback. It's a wholesale repricing of one of the most important companies on earth. The thesis driving every tick is that the market isn't punishing the business -- it's repricing the timing of the AI payoff, and Microsoft is the epicenter because it carries the heaviest exposure to the AI buildout plus a pile of company-specific overhangs no other megacap has. The fundamentals are firing: Azure grew 40% last quarter, AI revenue is running at a $37 billion annual clip, and total revenue climbed 18.3%. Yet the stock trades at roughly 21.8 times earnings -- its lowest valuation in three years -- because the crowd spent 2024-2025 pricing Microsoft as if the AI revenue would arrive immediately and cleanly, and is now repricing for the reality that this is a three-to-five-year infrastructure cycle with messy free cash flow in the middle. Layer the OpenAI overhang on top, and you get a stock in free fall despite a business that's growing faster than almost any company its size. The disconnect between the operating performance and the share price is the whole story. The AI-Capex Repricing Hit MSFT Hardest The number that triggered the collapse isn't a revenue miss -- it's the capital spending. Microsoft's projected 2026 capital expenditure runs near $190 billion, part of an industry-wide AI buildout estimated at $725 billion to $805 billion. In a single quarter, CapEx hit $30.88 billion, up 84% year over year, and the consequence showed up where the crowd cared most: free cash flow fell to $15.8 billion from $20.3 billion a year earlier, against reported net income of $31.8 billion. That gap between accounting profit and actual cash generation is the core of what the market is wrestling with. The mechanics are brutal and simple. Every dollar Microsoft spends on GPU clusters and data centers sits on the cash-flow statement as cash out today, but only returns as revenue over several years of depreciation. So the company is spending now and collecting later, and the crowd that owned Microsoft for its fortress-like free cash flow is, as one analyst put it, being asked to underwrite a capital-intensity cycle instead. That's a different kind of holder than Microsoft attracted for a decade, and the repricing reflects the shift. The memory-cost squeeze hammering Apple and the rest of tech compounds it -- surging memory and storage prices make every data-center dollar buy less compute, pressuring the very returns the capex is meant to generate. Microsoft fell harder than its peers because it's spending more than almost anyone, and the market has decided to discount the cash-flow pain heavily while it waits for the payoff. The capex that was supposed to be the moat is, in the near term, the anchor. The OpenAI Problem Nobody Else Has What separates Microsoft's predicament from the rest of the Mag7 is OpenAI, and the timing couldn't be worse. The report that OpenAI is leaning toward delaying its IPO to 2027 -- the headline that rattled the entire tape Friday -- lands hardest on Microsoft, OpenAI's largest backer. Microsoft holds a 27% equity stake in OpenAI worth roughly $135 billion, retains royalty-free rights to OpenAI's IP, and has restructured the partnership to a non-exclusive arrangement through 2032. When OpenAI's listing slips and its economics come into question, Microsoft's balance sheet feels it directly. The pain already shows up in the numbers. OpenAI investment losses ballooned to $3.1 billion in Q1 FY26, up from $523 million a year earlier, and those losses flow through Microsoft's books as a GAAP drag. So Microsoft isn't just exposed to OpenAI's upside -- it's eating OpenAI's losses in real time as the startup burns cash on its own buildout. The IPO delay signals that the funding environment for the whole AI complex is tightening, and since Microsoft's fate is tied to OpenAI's through both the equity stake and the Azure commitments, the delay reads as a direct headwind. No other megacap has this kind of single-relationship dependency baked into its results. Apple doesn't owe its growth to one AI startup; Amazon's AWS serves thousands of customers. Microsoft's cloud growth and its income statement are both levered to OpenAI in a way that makes the stock uniquely sensitive to every wobble in the AI funding story. The OpenAI overhang is the MSFT-specific wildcard that turned a sector selloff into a 21% monthly rout. The $627 Billion Backlog and the Concentration Risk The bull case rests on a staggering number -- and so does the bear case. Microsoft's commercial remaining performance obligation, its contracted backlog, sits at $627 billion, up 99% year over year. That's more than two full years of revenue already under contract, a multi-year floor that should give the crowd confidence the Azure growth is real and pre-funded. OpenAI alone has committed to roughly $250 billion of additional Azure spending, anchoring a chunk of that backlog. But the same backlog contains the structural risk. Roughly 45% of the $627 billion is tied to OpenAI -- a single customer that is actively diversifying its cloud footprint away from Azure. That concentration is the one thing worth watching most carefully, not because it's a 2026 crisis, but because a $627 billion backlog with nearly half tied to one customer that's spreading its spending elsewhere is a dependency that has to be resolved over time. The resolution could come through contract renewals, through Microsoft's own AI model development filling the gap, or through other enterprise demand picking up the slack. But until it's resolved, the backlog is both Microsoft's greatest asset and its most concentrated vulnerability. The bulls point to the backlog as proof the demand is contracted and the capex is justified. The bears point to the OpenAI concentration within it as a single point of failure. Both are right, and the tension between them is why the stock is so volatile. The $627 billion number is real, but its quality depends on a customer relationship that's evolving in real time. Azure Is Still Ripping -- That's the Disconnect Here's the fact that makes the selloff so jarring: the business is performing exceptionally. The Q3 FY26 earnings that triggered the capex selloff were, by almost any other measure, among the strongest Microsoft has ever reported. Revenue came in at $82.89 billion, up 18.3% year over year. Azure grew 40%. Microsoft Cloud reached $54.5 billion. The AI business surpassed a $37 billion annual revenue run rate, up 123% year over year. EPS of $4.27 beat the $4.07 estimate. These are not the numbers of a company in decline. That's the disconnect at the heart of the stock. The market is punishing a company whose cloud business is reaccelerating to 40% growth and whose AI revenue is more than doubling. The crowd spent two years pricing Microsoft as if the AI revenue would arrive immediately and cleanly, and is now repricing for the messy reality of the infrastructure cycle -- but the underlying demand the capex is feeding is showing up exactly as promised. Azure at 40% growth is the engine that justifies the $190 billion spend, and AI at a $37 billion run rate is the proof the monetization is happening, just not fast enough to offset the cash-flow drag in the eyes of a nervous market. The disconnect between a stock at a three-year-low valuation and a business posting some of its strongest growth ever is precisely what the bulls are pointing to. If the operating performance holds, the repricing is an overshoot. If the growth decelerates, the bears are vindicated. Right now, the growth is firing and the stock is falling -- a gap that can't persist indefinitely. Xbox Is Bleeding While the AI story dominates, a quieter problem is dragging on sentiment: the gaming division is in trouble. Xbox raised the prices of its consoles again -- by $100 to $150 worldwide -- citing the deepening global components crisis that has sent memory and storage costs soaring, the second hike in less than a year. The price increases came just hours after Apple raised its hardware prices, reinforcing the memory-squeeze narrative hammering the whole consumer-tech complex. The price hikes are a symptom of a division in decline. Xbox hardware revenue plunged 33% year over year, and quarterly gaming revenue fell 7%, forcing management to plan roughly 1,000 layoffs across Xbox Game Studios, marketing, and hardware engineering. A gaming business that's shrinking, raising prices into weak demand, and cutting headcount is a margin drag that compounds the broader concerns. Gaming isn't the core of the Microsoft thesis -- the company is about Azure, Copilot, and enterprise software -- but a struggling Xbox division removes a growth lever and adds to the sense that Microsoft is fighting fires on multiple fronts. The Activision Blizzard acquisition was supposed to make gaming a pillar; instead, the division is now a source of layoffs and price hikes. For a stock already under pressure from the AI-capex repricing, the Xbox slump is one more weight, and the layoffs signal management itself sees the division as a cost problem rather than a growth opportunity. It's a small piece of the overall picture, but it cuts against the narrative at the worst time. The Quantum Credibility Hit Microsoft's long-term moonshot took a credibility blow this week, and the timing added to the selling. A critical commentary published in the journal Nature on June 24 challenged Microsoft's claimed quantum computing breakthroughs, with physicists questioning the robustness of the methodology used to detect energy gaps in wires -- the foundation of the company's Majorana-based quantum roadmap. The critique reported that the conductive-wire gap Microsoft claimed appears inconsistent and misreported, with broader data showing noise and no clear evidence of the claimed gap. The quantum hit matters less for near-term earnings and more for the long-term growth narrative. Microsoft has positioned its Majorana 2 chip and a 2029 target for scalable quantum computing as a pillar of its future, a differentiator that could open entirely new markets. A peer-reviewed challenge to the underlying science casts doubt on that roadmap and triggered a multi-percent decline in the stock as the crowd repriced the option value of the quantum bet. Quantum stocks across the board slid on the renewed skepticism. For a company already being questioned on its AI capex returns, a scientific challenge to its quantum claims feeds the broader narrative that Microsoft's ambitious bets may not pay off as cleanly as promised. The quantum program was always a long-dated, speculative piece of the thesis, but the Nature critique removed some of the benefit of the doubt at exactly the moment the stock could least afford it. It's another crack in the story, and the market is in no mood to give Microsoft's moonshots the benefit of the doubt.

Micron stock surges after Micron earnings report crushes estimates: How is AI demand driving Micron to new heights and what does it mean for the future?

Micron's revenue has surged by over four times, reaching $41.46 billion in its fiscal third quarter, driven by the booming AI sector and a global memory crunch. The company's stock saw a significant jump as soaring demand for memory chips, essential for AI hardware and data centers, propelled exceptional financial results. Micron anticipates continued strong performance, with future revenue projections also exceeding expectations. Micron delivered a standout earnings report, showing how strongly the artificial intelligence boom continues to reshape the semiconductor industry. The company easily beat Wall Street expectations and issued a stronger-than-expected forecast, sending its stock soaring in extended trading. The latest results highlight how central memory technology has become in the ongoing AI boom, as per a report by CNBC. The memory chip maker reported fiscal third-quarter results that comfortably surpassed analyst estimates, while also providing an upbeat outlook for the current quarter. The strong performance sparked a major rally in the company's shares as investors reacted to the results. Micron Earnings Report Micron reported revenue of $41.46 billion for the quarter, well above the $35.84 billion analysts had expected. Adjusted earnings per share came in at $25.11, beating consensus estimates of $20.78. Micron stock hits a new high with a 13% rise in after-hours trading, as per a report by CNBC. You Might Also Like: Nancy Guthrie case mystery deepens as investigators focus on anonymous tipster linked to ransom messages-here's what you need to know The company's revenue more than quadrupled compared with the same period a year ago, when sales totaled $9.3 billion. Looking ahead, Micron forecast approximately $50 billion in revenue for the current quarter, significantly above analyst expectations of $43.58 billion, as per a report by CNBC. Profitability also improved dramatically. Gross margin climbed to 84.9%, compared with 74.9% in the previous quarter and 39% a year earlier. Net income reached $28.24 billion, or $24.46 per share, compared with $1.89 billion, or $1.68 per share, during the same quarter last year. You Might Also Like: Psychology says people who decline invitations more often as they get older may not be becoming unfriendly: Here's why they may be becoming more selective How is AI driving memory demand? The company's remarkable growth has been fueled by soaring demand for memory and storage products used in artificial intelligence systems. As AI infrastructure expands globally, memory suppliers have struggled to keep up with demand, leading to higher prices across the industry. "Our customers are recognizing that supply shortages in memory and storage will take considerable time to improve, even as we expect industry supply to improve gradually in 2028," Micron CEO Sanjay Mehrotra said on a call with analysts. Micron supplies technology that is critical for processors developed by Nvidia and Google, as well as the servers that power AI workloads. The company's stock has risen roughly 700% over the past year, pushing its market value beyond $1 trillion, as per a report by CNBC. You Might Also Like: Psychology says people who stop posting their personal lives on social media aren't antisocial; they may be becoming more secure Data center demand was particularly strong. Revenue from the company's core data center business surged more than sevenfold to $11.5 billion, compared with $1.53 billion a year earlier. Micron also reported more than $5 billion in data center solid-state drive revenue. Cloud memory sales increased more than 300% to $13.77 billion. What's next for Micron? Micron also revealed that it has secured 16 long-term agreements with customers, including data center operators and automakers. These contracts lock in sales commitments for periods ranging from three to five years. "When completed, we expect approximately half or more of our company revenue to be under these" strategic customer agreements, Mehrotra said. He added that the deals include binding purchase commitments for Micron products. The company expects financial commitments worth $22 billion from these agreements. "This is good for Micron," CFO Mark Murphy told analysts. "We get visibility on our demand, it's committed volume that we can be confident about making our investments." Beyond data centers, growth was broad-based. Revenue in the mobile and client business unit rose more than 250% to $11.52 billion, while automotive and embedded memory sales more than quadrupled to $4.63 billion. With memory prices remaining elevated, AI infrastructure spending accelerating, and major customer agreements now in place, Micron appears positioned for continued momentum. The company also announced that shareholders will receive a dividend of 15 cents per share in July, adding another positive note to an already impressive quarter. FAQs Why did Micron stock jump? Strong earnings, rising memory prices, and booming AI demand lifted investor confidence. What helped drive Micron's growth? Demand from data centers, cloud computing, smartphones, and other technology sectors fueled sales. You Might Also Like: Quote of the day by influential Harvard cognitive psychologist Steven Pinker: 'We will never have a perfect world, but...'-Life lessons on progress, optimism, reason, resilience, and building a better future

Amazon's Selloff Shows AI Capex Has Become the New Margin Test

Amazon just closed at $227.01, down 3.10% -- a $7.26 drop in a single session -- and it's sitting under pressure again into Friday as the broad tech rollover deepens. The reflex read is that something's wrong with the business. It isn't. Prime Day 2026, the four-day event that wrapped June 23 to 26, printed record online spending, with roughly $26.3 billion in total e-commerce activity projected across the retail landscape. The consumer showed up. The stock fell anyway. That gap between a record-strong demand picture and a sliding share price is the entire thesis. This is a margin-and-regulation story wearing a tech-selloff costume. Amazon at $227 sits about 18% below its all-time high of $278.56 set on May 5, not because shoppers stopped spending, but because three forces converged: a $200 billion AI capital budget that's compressing free cash flow today, a market that's stopped handing Big Tech a blank check for AI spend without a clearer return timetable, and a regulatory pincer tightening around the company's two highest-margin businesses. The same week the consumer business posted records, Brussels moved to label AWS a gatekeeper and the crowd kept selling the AI-capex anxiety that's dragging every megacap lower. Amazon's problem isn't the top line. It's the cost of the buildout funding the next leg, and the regulators circling the parts of the business that actually make money. The $200 Billion Capex Bill Nobody Wants to Pay For The number that's haunting the stock is $200 billion -- Amazon's projected 2026 capital expenditure budget, dedicated to scaling AI data centers, AWS infrastructure, and custom Trainium silicon. That's an unprecedented commitment, and while it positions AWS to capture the generational shift toward enterprise AI adoption, it has severely compressed near-term free cash flow. Wall Street is grappling with that cash-flow pressure, questioning the timeline for a meaningful return on the spend and whether peak margins can survive rising hardware and memory costs. The memory-cost angle is the new wrinkle that connects Amazon to the Micron-Apple story dominating the tape this week. The same surge in memory and storage prices that forced Apple to raise MacBook and iPad prices flows straight into Amazon's data-center build-out. Every server AWS racks for AI workloads is now more expensive, which means the $200 billion budget buys less compute than it would have six months ago, or costs more to deliver the same capacity. That's a direct hit to the return math the crowd is already nervous about. The capex anxiety won't resolve quickly -- holders need multiple quarters of evidence that the spending is generating competitive returns before the concern lifts, and until then, every report refreshes the worry. A $200 billion bill with an uncertain payoff timeline is exactly the kind of overhang that caps a stock even when the underlying business is firing. Wall Street Stopped Giving Big Tech a Free Pass on AI Spend The deeper shift this week is psychological, and it's bigger than Amazon. The market has stopped rewarding the megacaps for writing ever-larger AI infrastructure checks without a clearer cash-return timetable. The AI boom isn't weakening -- the demand is real -- but the crowd has turned selective about which companies can justify the spend, and the patience that funded two years of capex escalation has run thin. The OpenAI IPO-delay report that rattled the whole tape Friday is the same story from a different angle: the funding environment for the AI buildout is tightening, and the names levered to that buildout are getting repriced. Amazon sits squarely in that repricing. Microsoft, Amazon, Alphabet, and Meta have effectively become the financing arm of the AI cycle, pouring tens of billions into infrastructure while the cash beneficiaries further down the chain -- chips, memory, networking, power -- bank the early returns. That framing has flipped from bullish to bearish in the market's eyes. Being the company that funds the AI revolution used to be a premium. Now it's a question mark, because the spending shows up in the cash-flow statement long before the returns show up in revenue. Amazon at $227 is paying the price for being one of the four biggest spenders in a market that's suddenly demanding to see the payoff. The capex that was a moat is now, in the near term, an anchor. Brussels Labels AWS a Gatekeeper The regulatory hit that helped drive Thursday's drop came from Europe. The European Commission released a preliminary assessment designating Amazon Web Services -- alongside Microsoft Azure -- as a gatekeeper under the Digital Markets Act, opening the door to costly operational adjustments, interoperability requirements, and bans on customer lock-in practices. The penalty for non-compliance is severe: up to 10% of global annual turnover, a number that against Amazon's $716.92 billion in 2025 revenue runs into the tens of billions. The reason this stings more than a typical regulatory headline is where it lands. AWS is Amazon's profit engine -- the high-margin cloud business that subsidizes the thin-margin retail operation and funds the AI buildout. A DMA gatekeeper designation threatens exactly that high-margin core. If AWS is forced to unwind customer lock-in practices and open its architecture to interoperability requirements, the structural advantages that let it command premium economics come under pressure. The designation isn't final -- AWS has a compliance window and a chance to respond -- but the preliminary finding alone is enough to inject uncertainty into the most important profit line Amazon has. The crowd repriced that risk immediately. A regulatory threat to the retail business would be an annoyance. A regulatory threat to AWS goes to the heart of the bull case, and that's why the stock reacted the way it did. The FTC Has the Ad Business in Its Sights The second regulatory pincer is domestic and aimed at another high-margin jewel. Reports indicate the US FTC and several state attorneys general are drafting an antitrust complaint targeting Amazon's $70 billion advertising business. The ad segment has been one of the company's fastest-growing and most profitable lines, with revenue up 22% -- a high-margin stream that drops far more to the bottom line than the retail operation it sits on top of. An antitrust action there targets the second of Amazon's two profit engines. The pattern is the concern. Within a single window, Amazon faces a European threat to AWS and an American threat to its advertising business -- the two segments that generate the outsized margins underwriting everything else. The retail operation is enormous but thin-margin; the profits come from AWS and ads, and both are now in regulators' crosshairs at the same time. That's a meaningful overhang because it caps the multiple the market is willing to pay. Even if neither action ultimately forces major structural change, the uncertainty alone weighs on the stock, because the crowd has to discount the possibility that the highest-margin parts of the business get constrained. Amazon at $227 is carrying a regulatory risk premium on top of the AI-capex anxiety, and the two compound each other: the spending pressures margins from one side while the regulators threaten them from the other. Prime Day Printed Records -- and That's a Double-Edged Sword The consumer business delivered, but even the good news carries a catch. Prime Day 2026 expanded to a four-day event running June 23 to 26 and produced record online spending, with Adobe Analytics projecting around $26.3 billion in total e-commerce activity across the period. Amazon layered in its Alexa AI shopping tool, turning the event into a live test of whether AI can improve conversion rates and revenue per customer, and the early signals were positive. On the surface, that's a clean win. The complication is twofold. First, domestic Prime membership saturation may limit how much incremental growth a bigger event can actually generate -- there are only so many new members to add in a mature US market. Second, and more important for the stock, moving the event to June pulls retail demand forward into the second quarter, which threatens to create unfavorable, highly volatile year-over-year growth comparisons in the second half of the year. A record Prime Day in Q2 sets a high bar that Q3 and Q4 then have to clear, and pulling demand forward can leave the back half looking soft by comparison. So the record numbers that should be unambiguously bullish come with an asterisk: they may be borrowing from future quarters. The Alexa AI integration is the genuinely new and bullish element -- if it durably lifts conversion, it changes the revenue-per-customer math -- but the pull-forward dynamic is why even a record event didn't rescue the stock this week. AWS Is Still the Engine, but the Gap Is the Worry AWS remains the most important number in any Amazon forecast, and the latest figures are strong in absolute terms. The segment generated $37.6 billion in Q1 2026 revenue, up 28% year over year -- a reacceleration that shows enterprise AI demand flowing through the cloud business. That's the growth engine the entire $200 billion capex bet is built to feed, and 28% growth on a base that size is a serious number. The worry isn't the absolute growth -- it's the relative growth. Microsoft and Google have both demonstrated faster cloud revenue growth in 2026, and the persistent question is whether that gap reflects a genuine capability difference or merely a timing difference. If it's capability -- if Azure and Google Cloud are genuinely winning more of the AI workload migration -- then Amazon's most important growth engine underperforms its peers for longer than the bull case assumes, and the $200 billion spend looks like defense rather than offense. If it's timing, the gap closes and AWS reaccelerates further. The market can't tell which yet, and that uncertainty is the single biggest swing factor for the stock. Every quarter AWS grows slower than Azure and Google Cloud refreshes the concern that Amazon is losing the cloud-AI race even as it spends the most to win it. The $48 billion India commitment and the Nokia-AWS partnership signal Amazon isn't ceding ground, but the proof has to come in the growth rate, and that's a July 30 question. The Numbers Under the Hood Are Strong Step back from the noise and Amazon's actual financials are formidable. Q1 2026 revenue hit $181.5 billion, up 17% year over year, with North America contributing $104.1 billion, International $39.8 billion, and AWS $37.6 billion. Full-year 2025 revenue reached $716.92 billion, up 12.38%, while earnings jumped 31.09% to $77.67 billion -- net income growing more than twice as fast as revenue, the signature of a business expanding margins as its high-profit segments scale. The margin story is the quiet bull case. EBITDA runs at $160.64 billion with a margin near 20.97%, and the combination of higher-margin AWS revenue, high-margin advertising up 22%, and improving logistics efficiency creates an earnings profile that compounds more powerfully than any single revenue line growing in isolation. Amazon has been investing heavily in robotics and warehouse automation that gradually reduces the cost per unit shipped, producing operating leverage that improves margins without requiring proportional revenue growth. That's the engine that took 2025 earnings up 31% on 12% revenue growth. The market is fixated on the $200 billion capex compressing free cash flow, which is real, but the underlying earnings power is accelerating, not decelerating. At $227, the stock is pricing the capex pain heavily while discounting the margin expansion that the same investments are designed to produce over time. The numbers say the business is healthier than the share price suggests. Insider Selling Adds to the Unease One signal that's reinforced the bearish near-term tone is the pattern of insider activity. Recent SEC filings reveal continuous insider divestment -- totaling roughly $51.6 million over the past three months with zero offsetting purchases. Selling by executives isn't necessarily a verdict on the stock; insiders sell for diversification, taxes, and liquidity reasons that have nothing to do with their view of the business. But the complete absence of buying alongside steady selling is the kind of detail that adds to unease when a stock is already under pressure. The crowd reads insider behavior as a sentiment tell, even when the individual transactions are routine. When a stock is sliding on capex anxiety and regulatory threats, $51.6 million in insider sales with no buys gets folded into the bearish narrative, fairly or not. It's not a primary driver of the move -- the regulatory and capex stories carry far more weight -- but it's a contributing texture that makes it harder for the stock to find a sentiment bottom. The flip side is that the hedge-fund community has been piling into Amazon, with heavyweight funds adding to positions and retail sentiment flipping bullish ahead of the half-year close as the crowd reframes the stock as a value play after the pullback. So the smart-money picture is mixed: insiders trimming, institutions accumulating. That divergence is itself a sign of a stock at an inflection point, where the long-term holders see value at $227 that the near-term tape can't yet confirm. Technical Map: Oversold Inside an Uptrend The chart says Amazon is stretched to the downside but still inside a longer-term uptrend, and that tension defines the setup. The momentum indicators are flashing oversold-to-neutral: the RSI sits near 38, the Williams %R reading near 90 signals oversold conditions, and the MACD at -3.006 is on a sell signal. The stock has slipped below its critical short- and medium-term moving averages, including the 20-day and 50-day exponential moving averages, keeping the near-term tone bearish. The bigger-picture structure is more constructive. Amazon has been trading within a two-year ascending channel, and the move down since the May 5 high of $278.56 is a bearish leg within that broader uptrend rather than a break of it. The stock recently came down to test its 200-day moving average and rebounded, the kind of action that suggests the long-term trend support is holding even as the near-term momentum rolls over. At $227, the stock is roughly 18% off its all-time high and well above its 52-week low of $196.00, sitting in the lower portion of its range with oversold momentum readings that historically precede a corrective bounce. The technical message is a stock that's been beaten down hard enough to be stretched, inside a structure that hasn't broken. That's a setup where the bounce risk is real, but it requires the fundamental overhangs -- capex, regulation -- to stop getting worse before the oversold condition can resolve to the upside. The Levels That Matter The map into next week is defined by a few clear lines. On the downside, the 52-week low of $196.00 is the ultimate floor, but the more immediate support sits at the 200-day moving average the stock just bounced off, with the $220 area as the near-term line the bulls need to defend. A break below the recent lows would open the door toward the low $200s and, in a worse case, a retest of the $196 floor. The stock at $227 is sitting just above that 200-day support, which makes the current zone the pivot for the near-term trend. On the upside, the first hurdle is the cluster of moving averages the stock fell below -- the 20-day and 50-day EMAs -- which now act as overhead resistance. Reclaiming those would be the first sign the bounce has legs. Above that, the path runs back toward the May 5 all-time high of $278.56, with the analyst target zone in the low-$300s marking the level the bulls are playing for. The stock has a beta of 1.85 and runs about 3.87% daily volatility, which means it moves more than the market in both directions -- a double-edged trait that amplifies the bounce if sentiment turns and deepens the slide if the selling continues. The $227 level is the fulcrum: hold the 200-day and the oversold condition supports a recovery toward the EMAs; lose it and the low $200s come into play. The two-year channel says the uptrend is intact until proven otherwise, and $196 is the line that would prove otherwise. Wall Street Still Loves It Despite the pullback, the analyst community remains firmly bullish, and the gap between the targets and the price is the bull case in one number. Across 67 analysts, the average rating is Strong Buy, with a 12-month price target near $312.99 -- implying roughly 33.6% upside from current levels. A separate read puts the average target at $309.24, with a high of $370.00 and a low of $207.00, on a Buy consensus. Even the low end of that range, at $207, sits only modestly below the current $227, while the average points to the low $300s. That target spread tells you how the professionals are framing the selloff: as a discount, not a破. Wait -- let me not use a non-English character. As a discount, not a breakdown. The thesis underpinning those targets is straightforward. Amazon dominates its served markets in e-commerce and cloud, benefits from numerous competitive advantages, and continues grinding out share gains despite its size. Prime ties the e-commerce business together with high-margin recurring revenue, AWS captures the enterprise AI shift, and the advertising business compounds at 22%. The analysts see the $200 billion capex as an investment that pays off over multiple years, the regulatory threats as manageable rather than existential, and the current price as an entry point. With the stock at $227 against a $313 average target, the implied upside is the largest it's been in months. The crowd that trades the daily tape is selling the capex anxiety; the analysts modeling the multi-year cash flows are buying the dip. The Bear Case That Keeps It Capped For balance, the bear case is specific and not easily dismissed. The $200 billion capex creates a kind of anxiety that won't resolve quickly -- holders need multiple quarters of evidence that the spending generates competitive returns before the concern fully lifts, and until then every quarter of slower AWS growth relative to Microsoft and Google refreshes the worry. The AWS competitive gap is the most persistent concern: if it reflects a genuine capability difference rather than timing, Amazon's most important growth engine underperforms for longer than the bulls assume. The regulatory overhang compounds it. The DMA gatekeeper designation threatens AWS's high-margin core, the FTC's looming ad-business complaint threatens the second profit engine, and both could constrain the segments that generate Amazon's outsized margins. Layered on top is consumer-spending sensitivity -- a meaningful economic slowdown would pressure e-commerce and advertising simultaneously, hitting Amazon's two largest revenue contributors in the same direction at the same time. With a hawkish Fed signaling rate hikes and the broad risk tape selling off, that slowdown risk isn't trivial. The bear case isn't that Amazon is a bad business -- it's that the stock is fairly valued or stretched given near-term margin compression, regulatory risk, and a cloud business possibly losing relative ground. That's why the stock can't break free even with the consumer printing records: the market is discounting real risks, not imagining them, and those risks keep a lid on the multiple until the capex returns and the regulatory picture clarify.

Micron Smashes Expectations, Confirming Persistent Memory Scarcity Scenario

Micron Technology delivered results that significantly exceeded expectations, confirming the tightening conditions in the DRAM and NAND memory markets. The most advanced versions of these chips, such as HBM, have become essential components of artificial intelligence infrastructure. Third-quarter fiscal revenue reached $41.46bn, compared to the $35.91bn expected and $9.30bn a year earlier. Adjusted earnings per share came in at $25.11, well above the consensus estimate of $20.86. The stock jumped approximately 10% in after-hours trading, representing nearly $120bn in additional market capitalization. The shares have now posted a gain of roughly 280% since the beginning of the year, reflecting a sharp shift in perception regarding the American memory chip specialist: historically a cyclical player, it is now positioned at the heart of the AI bottleneck. Profitability also reached a significant new milestone, with adjusted gross margin hitting 84.9%, up from 74.9% in the previous quarter, driven by higher average selling prices and a more favorable product mix. Management emphasized that memory has become a strategic asset in the AI ecosystem, with CEO Sanjay Mehrotra citing the "strategic value of memory in the AI era." At the same time, Micron raised the bar for the current quarter, forecasting revenue of around $50bn and adjusted earnings per share of approximately $31. Although the group anticipates a gradual improvement in supply by 2028, management stated they do not have "visibility on when memory supply will be able to catch up with the surge in demand."

Nvidia's Micron-Led Bounce Tests Confidence in the AI Capex Cycle

Nvidia is back on offense, and the catalyst came from a rival's earnings report rather than its own. NVDA changed hands near $200 on Thursday, trading a $196.58 to $201.67 band after climbing roughly 1.5% in pre-open action, riding the broad semiconductor rally that Micron's record quarter ignited. The move was stock-specific strength as much as sector lift: the Nasdaq slipped 0.4% and the S&P 500 dipped 0.1% on Apple's price-hike drag, yet the world's most valuable company pushed higher on its own catalysts. With a market value near $4.85 trillion, Nvidia sits about 15% below its $236.54 all-time high set on May 14, 2026, after surviving a brutal week that saw the chip complex crater. CEO Jensen Huang used the company's shareholder meeting to declare that AI has entered a true profitability era and confirmed the next-generation Vera Rubin architecture is moving into full-scale production, reframing the stock's narrative just as the AI trade needed reassurance. A Rival's Blowout Lifts the King The Thursday advance was borrowed from Micron, and the irony is sharp. Micron's fiscal third-quarter results, with revenue of $41.46 billion and a record gross margin of 84.9%, reignited confidence across the entire AI semiconductor chain after a week in which the PHLX Semiconductor Index tumbled 8% on Tuesday and Nvidia itself shed more than 4%. When memory stabilized and the AI-spending narrative regained its footing, capital flowed back into the sector's anchor, and NVDA rose even as the broader Nasdaq stayed red. The rally carried multiple stock-specific tailwinds beyond the sector lift. A Bernstein analyst labeled both Nvidia and Broadcom absurdly cheap in a note published Thursday morning, providing a direct catalyst timed to the session, while evidence of surging real-world GPU demand from SpaceX compute deals reinforced the case that Nvidia's chips remain the indispensable backbone of the AI buildout. The combination gave the market enough conviction to push the stock higher against a softening tech tape. The pattern reveals how Nvidia now functions as the market's AI bellwether. The stock's resilience after a week of semiconductor carnage signals that the underlying demand thesis survived the valuation scare, and the speed of the recovery underscores how quickly capital returns to the highest-quality name when the AI narrative reasserts. Nvidia did not need its own earnings to bounce; it needed proof that the spending cycle remains intact, and Micron supplied it. Huang Declares the Profitability Era and Vera Rubin's Arrival The shareholder meeting on the prior day handed the stock its most important forward catalyst. Huang declared that AI has entered a true profitability era and characterized the current computing shift as the largest industry reset in 60 years, framing autonomous agents as the core engine that will drive compute demand for decades. He confirmed that the Vera Rubin architecture, the successor to Blackwell, is moving into full-scale production, a transition that anchors the company's growth narrative for the coming product cycle. Huang grounded the vision in concrete financials. He highlighted that fiscal 2026 revenue climbed 65% year over year to $216 billion, with operating profit reaching $130 billion, presenting the results as evidence that AI infrastructure is no longer experimental but fully revenue-generating. The message was deliberate: at a moment when the market questioned whether AI spending would ever pay off, Huang asserted that the returns are already flowing through the income statements of the companies deploying his chips. The Vera Rubin transition matters more than any single quarter. Unveiled at the company's March 2026 technology conference alongside the Vera CPU, the architecture represents a meaningful step beyond Blackwell in performance, and its move into full production de-risks the next leg of revenue growth. For a company whose valuation depends on sustained data center expansion, the confirmation that the next-generation platform is shipping on schedule removes a key overhang and gives the bull case a tangible product roadmap to point to. The Numbers Behind the $4.85 Trillion Valuation Nvidia's fundamentals remain staggering even by the standards of the AI boom. Fiscal 2026 revenue reached $215.94 billion, a 65.47% increase from the prior year's $130.50 billion, while net income surged 64.75% to $120.07 billion, figures that would have seemed impossible for a chipmaker just a few years ago. The company generated these results at a 74.1% gross margin, a level that reflects the pricing power Nvidia commands as the dominant supplier of AI accelerators. The most recent quarter extended the trajectory. Nvidia's first quarter of fiscal 2027, reported in late May, delivered revenue of $82 billion, up 85% year over year, with adjusted EPS of $1.87 beating the $1.77 forecast. Data center revenue surged 92% year over year to $75 billion, the engine of the entire business, and the company posted a record $49 billion in free cash flow at a 74.9% gross margin. The board responded by authorizing a new share repurchase program and raising the dividend, returning capital even amid heavy reinvestment. The cash generation reframes the valuation debate. Nvidia's 2026 free cash flow is forecast near $195.4 billion, of which roughly $97 billion could be available for shareholder returns through buybacks and dividends. A company producing nearly $200 billion in annual free cash flow supports an enormous market value on fundamentals rather than speculation, and the scale of the cash flow gives the company the firepower to fund its roadmap, buy back stock, and weather any cyclical wobble in AI demand. Micron Steals the Margin Crown One subplot of the week carried a pointed message for Nvidia. The financial commentary noted that Micron stole Nvidia's margin king crown, with the memory maker's 84.9% gross margin eclipsing Nvidia's 74.1%, a milestone that signals how the memory shortage has shifted pricing power toward the suppliers of high-bandwidth memory that Nvidia's chips require. The reversal highlights a genuine tension in Nvidia's cost structure. The dynamic cuts directly into Nvidia's economics. The same AI-driven memory shortage that lifted Micron's margins to records raises Nvidia's input costs, since high-bandwidth memory is a critical and increasingly expensive component of every AI accelerator. As memory suppliers capture more of the value chain, the question becomes whether Nvidia can maintain its own margins while paying up for the scarce memory that its products depend on. The relationship remains symbiotic despite the margin shift. Micron's record results were driven by demand from AI chipmakers like Nvidia, and the $100 billion in contracted memory revenue that Micron disclosed reflects the durability of the buildout that Nvidia anchors. The two companies rise together on the AI spending cycle, but the margin crown changing hands is a reminder that the economics of the AI supply chain are evolving, and Nvidia no longer captures every dollar of the value it helped create. The Valuation Paradox: Cheap on Forward Earnings The most counterintuitive aspect of the Nvidia story is its valuation. Despite a $4.85 trillion market capitalization, the stock trades at a forward price-to-earnings ratio near 19.3, below the S&P 500, a multiple that reflects the market's expectation of continued explosive earnings growth. On a trailing basis the P/E sits near 30.6, but the forward figure captures why analysts can call the stock cheap even at its enormous scale. The Bernstein note labeling Nvidia and Broadcom absurdly cheap rests on this math. When earnings grow 65% to 85% year over year, even a high absolute valuation compresses quickly on forward estimates, and a forward multiple below the broad market for the company driving the entire AI revolution strikes many analysts as a disconnect. The valuation case argues that the market is underpricing the durability of Nvidia's growth relative to its dominant competitive position. The skeptics counter that the forward multiple assumes growth that may not persist. A forward P/E of 19.3 looks cheap only if the 85% revenue growth continues, and any deceleration in AI capex or erosion of market share would expose the stock to a sharp de-rating. The valuation paradox is that Nvidia is simultaneously the cheapest mega-cap on forward earnings and one of the most exposed to a shift in the AI narrative, leaving the multiple a function of conviction in the growth story rather than a settled judgment. Hyperscaler Capex and the Demand Backdrop The foundation of Nvidia's growth is the relentless capital spending of the hyperscalers, and the recent corporate signals point to acceleration rather than restraint. Nvidia raised $25 billion in its largest-ever bond deal, drawing $85 billion in orders, a financing move that signals the company is preparing for sustained capacity expansion rather than a near-term peak. The bond demand itself reflects the market's confidence in the durability of the buildout. The customer commitments reinforce the demand picture. The SpaceX compute deals provided fresh evidence of surging real-world GPU demand, and the broader pattern of hyperscalers and AI labs locking in long-term capacity has insulated Nvidia from the cyclical fears that periodically grip the sector. Micron's $100 billion in contracted memory revenue and the $22 billion in firm financial commitments illustrate the multi-year visibility that now underpins AI infrastructure spending across the chain. The scale of the spending has reshaped the entire market. AI-related names now account for roughly 40% of total US equity weight, a concentration that makes Nvidia's trajectory a market-wide variable rather than a single-stock story. The hyperscaler capex cycle that drives Nvidia's revenue shows no sign of slowing, with each major AI lab racing to secure compute capacity, and that demand backdrop is the single most important support for the stock's valuation. The Competition Closes In Nvidia's dominance is no longer uncontested, and the competitive threats are multiplying. Qualcomm used its investor day to announce a push into data center chips, projecting $15 billion in segment revenue by 2029 with its Dragonfly C1000 CPU and Meta and Microsoft as launch customers, entering a space Nvidia has owned. AMD continues to gain ground with its server-rack offerings, and Broadcom's custom-silicon business has become a meaningful alternative for hyperscalers designing their own chips. The custom-silicon threat may be the most structural. OpenAI revealed it is making its own computer chips, a processor it calls Jalapeño, and Intel-backed startup SambaNova is raising $800 million to $1 billion as AI server chips that compete with Nvidia's reach record demand. The proliferation of custom ASICs from the very hyperscalers that are Nvidia's largest customers represents a long-term risk to the company's share of the accelerator market, even if Nvidia's general-purpose GPUs remain dominant today. The competitive landscape has not yet dented Nvidia's economics, but it bears watching. The Bernstein note that called Nvidia cheap also upgraded AMD, signaling that the analyst community sees room for multiple winners as the market expands. Nvidia's response has been to accelerate its roadmap with Vera Rubin and to deepen its software moat, but the entry of Qualcomm, the expansion of AMD and Broadcom, and the rise of in-house silicon mean the company can no longer assume the near-monopoly economics that drove its ascent. China, Export Controls, and the Gray Market Geopolitics remains Nvidia's most unpredictable risk, and the China situation has grown more complex. Reports indicate Nvidia's AI chip prices are surging on China's black market as US export controls tighten official channels, with buyers turning to gray-market sources to secure restricted chips. The dynamic illustrates the depth of Chinese demand even as the regulatory walls rise, and it creates both a lost-revenue problem and a compliance headache for the company. Huang addressed the issue directly at the shareholder meeting. He told shareholders that US national security would come before any commercial opportunity, especially regarding restricted AI chip exports, and warned that smuggled AI chips are a dead end, distancing the company from the gray-market trade. The comments reflect Nvidia's effort to stay on the right side of export policy even as it forgoes a significant portion of the Chinese market that once contributed meaningfully to revenue. The China overhang caps the upside without derailing the thesis. The export restrictions have removed a large addressable market, and the uncertainty over future policy adds a discount to the valuation, but Nvidia's growth has continued at an 85% pace despite the constraints, demonstrating that demand from the rest of the world has more than offset the China shortfall. The risk is that further tightening, or retaliation, could disrupt supply chains or invite new restrictions, keeping geopolitics a persistent source of volatility for the stock. The Capex Sustainability Debate The central question hanging over Nvidia is whether AI capital spending can persist at its current pace, and the market is genuinely divided. The week's selloff was driven by fears that massive AI investments by hyperscalers may generate weaker-than-expected returns, the saturation thesis that periodically grips the sector. The concern is that the buildout has run ahead of the revenue it can ultimately generate, leaving the spending vulnerable to a sharp pullback. The bulls argue the opposite risk is larger. One market voice contended that AI capex under-investment is a bigger risk than saturation, framing the buildout as still early relative to the eventual demand for agentic AI compute. Huang's profitability-era declaration directly addressed the saturation fear, asserting that the infrastructure is already revenue-generating, and Micron's $100 billion in contracted revenue lends support to the view that demand visibility extends well beyond the current quarter. The debate defines the stock's risk profile. If the bulls are right and AI spending accelerates as agents proliferate, Nvidia's growth continues and the forward multiple proves cheap. If the bears are right and the buildout outpaces returns, the spending decelerates and Nvidia faces both slower growth and a multiple compression. The AI chip market has been described as the hottest and riskiest to play, and Nvidia sits at the center of that tension, its valuation a direct bet on which side of the capex debate prevails. The Technical Map: 15% Below the Peak The chart structure reflects a stock that has corrected but not broken. Nvidia trades near $200, about 15% below its $236.54 all-time high from May 14, and well above its 52-week low near $149.26, leaving it in the upper portion of its annual range despite the recent volatility. The week's recovery off the chip-selloff lows suggests the $196 to $200 zone is acting as near-term support, with the stock stabilizing as the AI narrative reasserts. The technical signals are mixed across timeframes, capturing the market's uncertainty. Shorter-term momentum indicators have flashed bearish readings after the week's swings, while longer-term measures remain constructive given the stock's powerful uptrend, a divergence that mirrors the fundamental debate between near-term capex fears and long-term growth conviction. The $236.54 record stands as the key resistance, with a reclaim needed to signal the uptrend has fully resumed. The levels to watch are clear. Support sits in the $196 to $200 zone that held during the recovery, with deeper support near the recent selloff lows and the 52-week low at $149.26 marking the structural floor. On the upside, the stock must clear the $210 to $220 area before challenging the $236.54 all-time high, and a break to new records would open uncharted territory for a company whose market value already exceeds $4.8 trillion. Until then, the stock is likely to consolidate within its range as the market weighs the competing narratives.

Micron 3Q Revenue Soars on Continued Memory Demand

Micron Technology reported a more than fourfold increase in revenue in its latest quarter, boosted by continued strong demand for its memory chips. The company on Wednesday reported a third-quarter profit of $28.24 billion, or $24.67 a share, compared with a profit of $1.89 billion, or $1.68 a share, a year earlier. Stripping out certain one-time items, Micron reported adjusted earnings of $25.11 a share. Analysts polled by FactSet were expecting $20.86 a share. Revenue surged to $41.46 billion, up from $9.3 billion a year prior and beating analyst expectations of $35.91 billion. Micron has been reaping the benefits of an industry-wide shortage of memory technology, an important component of artificial-intelligence hardware. The company signed a long-term supply agreement with Anthropic and invested in the AI lab earlier this week, although financial terms weren't provided. "Micron's record fiscal Q3 financial results and even stronger outlook for Q4 reflect the strategic value of memory in the AI era," Chief Executive Sanjay Mehrotra said. "We believe our multiyear strategic customer agreements will significantly enhance the durability and predictability of Micron's strong financial performance." But the stock has also been hit by investor worries about runaway tech valuations, high AI capital spending, and possible interest rate increases from the Federal Reserve. Micron shares closed Wednesday at $1,047.92, down 12% this week but up nearly fourfold since the start of the year. Shares rose 7.6% in after-hours trading to $1,128.00. For the current fourth quarter, the company is projecting adjusted earnings between $30.00 and $32.00 a share on revenue between $49 billion and $51 billion. Analysts expect adjusted earnings of $25.72 a share on $43.58 billion in revenue.

Raymond James raises Micron stock price target on strong AI demand By Investing.com

Investing.com - Raymond James raised its price target on Micron Technology stock (NASDAQ:MU) to $1,500 from $1,100 while maintaining an Outperform rating. The firm cited Micron's May quarter results and August guidance, which exceeded consensus expectations. Raymond James views Micron as a key beneficiary of the current memory cycle. The stock has delivered an exceptional 726% return over the past year, reflecting strong investor confidence in the memory cycle recovery. AI-driven demand and supply tightness continue to support pricing and margins, leading to a shift in the company's business model through multiyear strategic agreements. The analyst noted strong execution in HBM4, following success with HBM3E last year. The company's gross profit margin stands at 58%, while revenue surged 86% in the last twelve months. According to InvestingPro analysis, 15 analysts have revised their earnings upwards, though the stock currently appears overvalued relative to its Fair Value. Investors can access additional ProTips and comprehensive analysis through InvestingPro's detailed Pro Research Report. The AI opportunity is expanding beyond HBM into conventional DRAM and enterprise SSD. Raymond James acknowledged difficulty in modeling the company under current supply and demand conditions. The firm expects its estimates will likely prove conservative under current market conditions, particularly given more rational industry behavior regarding new capacity builds. In other recent news, Micron Technology has reported impressive financial results and guidance, leading to a series of analyst upgrades. The company's third-quarter fiscal 2026 revenue reached $41.5 billion, a significant increase of 346% year-over-year, surpassing the consensus estimate of $36.3 billion. NAND revenue exceeded expectations by 27%, while DRAM revenue was 11% above forecasts. These results have prompted DA Davidson to raise its price target for Micron to $2,000, maintaining a Buy rating. Similarly, Susquehanna increased its price target to $2,000, citing confidence in Micron's ability to sustain high gross and operating margins. JPMorgan also raised its price target to $1,540, noting the expansion of Micron's Strategic Customer Agreements to 16 signed contracts. KeyBanc followed suit with a new price target of $1,600, emphasizing strong quarterly results and favorable DRAM and NAND pricing trends. RBC Capital increased its price target to $1,500, highlighting Micron's longer-term supply agreements, which cover approximately 25% of revenue. These developments indicate strong market confidence in Micron's future performance. This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.

BofA raises Micron stock price target on AI memory demand strength By Investing.com

Investing.com - BofA Securities raised its price target on Micron Technology (NASDAQ:MU) to $1,550 from $1,500 while maintaining a Buy rating on the shares. The stock currently trades at $1,048.51, having delivered an extraordinary 726% return over the past year. The firm cited Micron's strong quarterly results and the company's expanding strategic customer agreements, which now total 16, up from the previous quarter. According to InvestingPro data, 15 analysts have revised their earnings upwards for the upcoming period, reinforcing the bullish sentiment. The company's revenue surged 85.6% over the last twelve months, reflecting robust demand in AI memory markets. These agreements include take-or-pay terms and price floor and ceiling provisions running for five-year terms from 2026 through 2030. BofA noted that AI DRAM and NAND bit shipments in 2026 have more than doubled since 2024. The firm said memory now represents approximately 35% of AI capital expenditures for customers. The firm raised its out-year earnings per share estimates by 4% to 7%. The new price target is based on a sum-of-the-parts valuation that assigns approximately 3 times book value to core memory operations, compared with 2.5 times previously, and 31 times price-to-earnings for data center and AI operations. BofA said the strategic customer agreements are expected to comprise at least half of company revenue after execution. The firm projects free cash flow margins could approach 50% to 60%, with potential for $32 billion in share buybacks for fiscal year 2027 representing 25% of potential free cash flow generation. For deeper insights, Micron is one of 1,400+ US equities covered by comprehensive Pro Research Reports, available exclusively on InvestingPro. In other recent news, Micron Technology reported fiscal third-quarter 2026 results that exceeded Wall Street expectations in both profit and revenue. The company posted adjusted earnings of $25.11 per share, surpassing the analyst estimates of $20.49 per share. Revenue also outperformed expectations, reaching $41.46 billion compared to the projected $35.69 billion. These strong financial results reflect Micron's continued growth and robust performance in the memory-chip sector. The positive earnings report has caught the attention of analysts and investors alike, highlighting the company's ability to deliver above-market results. While the earnings figures are a key focus, the report did not include any mention of mergers or acquisitions. Furthermore, there were no recent analyst upgrades or downgrades reported in conjunction with these earnings results. Micron's performance continues to be a topic of interest in the investment community. This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.