Applied Materials raises outlook to 30% growth as chipmakers race to expand AI production capacity

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Applied Materials has significantly upgraded its 2026 sales forecast, now expecting semiconductor equipment business to grow over 30% this year, up from a prior 20% projection. The chipmaking equipment giant beat Wall Street expectations with $7.91 billion in Q2 revenue and issued strong Q3 guidance, signaling that AI chipmakers are finally committing substantial capital to expand production capacity after initial hesitation.

Applied Materials Exceeds Wall Street Expectations With Record Q2 Performance

Applied Materials delivered a robust second quarter that surpassed Wall Street expectations, reporting adjusted earnings of $2.86 per share against analyst estimates of $2.68

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. Revenue climbed 11% year-over-year to $7.91 billion, exceeding the $7.68 billion consensus

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. Net income rose to $2.806 billion from $2.137 billion in the year-ago quarter, demonstrating the company's strengthening financial position as surging demand for AI chips drives orders for advanced chip-making equipment

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Source: SiliconANGLE

Source: SiliconANGLE

The semiconductor equipment maker's stock initially gained nearly 3% in after-hours trading before settling back, though shares remain up more than 71% year-to-date and 152% over the past 12 months

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. The strong performance reflects the critical role Applied Materials plays in enabling chipmakers to build out high-end chip production capacity for AI applications.

Semiconductor Equipment Demand Drives Aggressive Sales Outlook Revision

President and CEO Gary Dickerson announced that Applied Materials now expects its semiconductor equipment business to grow by more than 30% in calendar year 2026, a significant upgrade from the company's previous forecast of more than 20% growth

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. "The rapid global build-out of AI computing infrastructure combined with Applied's strong leadership positions in leading-edge logic, DRAM and advanced packaging provide an exceptionally strong foundation for sustained, multi-year revenue and profit growth," Dickerson stated

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For the current fiscal third quarter, Applied Materials forecast adjusted earnings of $3.36 per share, up 35% year-over-year and well ahead of the Street's target of $3.21 per share. The company expects revenue of approximately $8.95 billion, above analyst consensus estimates of $8.72 billion

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. Chief Financial Officer Brice Hill emphasized that "the growth in AI that Applied has been investing for is now in full force"

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Chipmakers Overcome Hesitation and Commit to Capacity Expansion

When the AI boom initially emerged, chipmakers resisted committing significant capital to enhance their capacity due to concerns about repeating the boom-bust cycle that followed the Covid-19 pandemic

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. However, Applied Materials' customers have now recognized that AI demand shows no signs of slowing and are racing to increase their production capabilities to meet the industry's unquenchable thirst for AI compute.

The company is tracking more than 100 factory projects across the world and added 10 new projects in the previous quarter alone

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. Hill indicated that fiscal 2027 will likely be another record year for the semiconductor industry, with customer conversations increasingly extending into 2028. To support this expansion, Applied Materials has increased its build plan, inventory positions and logistics capacity to ensure it can meet customer growth demands

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Memory Chips and Agentic AI Create Additional Growth Drivers

Applied Materials' semiconductor systems business generated record sales of $5.97 billion during the quarter, up 16% sequentially and 10% year-over-year, driven by the industry's transition to gate-all-around nodes

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. The company's DRAM segment posted particularly strong results with sales of $1.7 billion, up 18% from a year ago. Dickerson noted that Applied Materials is now the world's number one process equipment supplier for memory chips and expressed confidence in strengthening that position

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Dickerson told analysts that global AI adoption continues to accelerate, with growing adoption of autonomous AI agents that can perform work without human supervision providing additional momentum. He explained that agentic AI workloads require more CPU-intensive computing architectures and also increase semiconductor equipment demand for dynamic random-access memory and NAND chips, creating further tailwinds for the company

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. The global services unit contributed $1.67 billion in sales, up 17% year-over-year, benefiting from higher fab utilization and an expanding installed base at data centers worldwide

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