3 Sources
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HPE raises annual forecasts as AI, networking demand lifts quarterly revenue
Sept 2 (Reuters) - Hewlett Packard Enterprise (HPE.N), opens new tab raised its annual forecasts on Wednesday after reporting quarterly results that beat Wall Street expectations, as surging AI-related demand across networking and servers drove growth across its business. HPE's high-powered
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Deutsche Bank raises HP Enterprise stock price target on AI demand By Investing.com
Investing.com - Deutsche Bank raised its price target on HP Enterprise stock (NYSE:HPE) to $68 from $62 while maintaining a Buy rating, citing record demand and orders driven by artificial intelligence. The stock currently trades at $51.83, representing potential upside of 31% to the new target,
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HPE Q3 FY26 slides: record AI demand drives 34% revenue surge By Investing.com
Hewlett Packard Enterprise (NYSE:HPE) presented fiscal third-quarter 2026 results on September 2, 2026, showcasing what the company described as "record quarterly financial results driven by record demand" across its networking and AI infrastructure portfolio. The presentation highlighted revenue
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Hewlett Packard Enterprise reported a 34% revenue surge to $12.2 billion, driven by record AI demand across its networking and server infrastructure. The company raised fiscal 2026 revenue growth guidance to 34-37% and secured $3.1 billion in AI orders with a $7.6 billion backlog, though supply constraints remain a key challenge.
Hewlett Packard Enterprise has significantly raised its annual revenue and earnings forecasts following a record-breaking third quarter, as AI-driven demand for networking equipment and high-powered servers continues to accelerate across enterprise and cloud customers
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. HPE now projects fiscal 2026 revenue growth of 34% to 37%, up from its previous forecast of 29% to 33%, while adjusted earnings per share guidance increased to $3.75-$3.85 from $3.35-$3.451
. The company's third-quarter revenue grew 33.6% year-over-year to $12.21 billion, beating Wall Street estimates of $11.91 billion, with adjusted earnings of $1.11 per share surpassing expectations of 93 cents1
.The surge in revenue growth reflects unprecedented AI orders totaling $3.1 billion in the third quarter, comprising $2.4 billion from AI-related servers and $0.7 billion from Networking infrastructure
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. HPE's backlog has swelled to $7.6 billion, with $6.8 billion in AI Systems and $0.8 billion in Networks for AI, indicating robust future revenue potential2
. CFO Marie Myers told Reuters that enterprise adoption of AI is accelerating after customers spent fiscal years 2025 and 2026 testing AI systems and beginning deployments that are demonstrating productivity gains1
. The company noted that 59% of cumulative AI orders came from sovereign and enterprise customers rather than hyperscale cloud providers, signaling meaningful diversification in its customer base3
.While record AI demand continues to drive HPE's performance, supply constraints remain a critical bottleneck limiting the company's ability to convert orders into revenue. Myers identified memory as the primary constraint, followed by NAND, CPUs, and drives, though HPE has signed longer-term supply agreements to improve component access
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. Deutsche Bank analyst Gianmarco Conti specifically highlighted memory availability as the main supply constraint affecting fulfillment2
. The company acknowledged that orders are coming in 3.5 times faster than revenue, indicating that guidance reflects supply-side limitations rather than demand constraints2
. Myers stated bluntly: "Demand is far outstripping supply"1
.HPE secured significant strategic wins during the quarter, including a $3.5 billion hyperscaler deal for internal inferencing workloads, demonstrating the company's ability to capture large-scale AI infrastructure deployments
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. The company also announced a partnership with Oracle to deploy Juniper routers and switches for what it described as a gigawatt-scale AI infrastructure buildout, representing one of the industry's largest AI cloud infrastructure projects3
. The Cloud & AI segment generated $9.0 billion in revenue, up 25% year-over-year, with operating profit reaching $1.5 billion and a 17% operating margin—all records for the segment3
.The Networking segment generated $2.9 billion in revenue, representing 75% year-over-year growth on an as-reported basis, though 10% on a normalized basis accounting for the Juniper Networks acquisition
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. The segment achieved a 22% operating margin with $0.6 billion in operating profit, while orders increased 36% year-over-year on a normalized basis3
. HPE expects Networking revenue to grow 73-74% in fiscal 2026, with the Cloud and AI revenue projected to grow in the mid to high 20% range2
. The company raised its guidance for cumulative Networks for AI orders to $2.5 billion to $3.0 billion by the end of fiscal 20263
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Deutsche Bank raised its price target on HPE to $68 from $62 while maintaining a Buy rating, representing potential upside of 31% from current trading levels of $51.83
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. Despite the strong quarterly results, HPE shares fell 4.07% in after-hours trading to $49.67, suggesting investor caution about margin sustainability and the timeline for converting the record order backlog into revenue amid ongoing supply constraints3
. The stock has delivered a 132% return over the past year, though InvestingPro data suggests shares are trading above their fair value of $48.872
. HPE's results follow strong forecasts from rivals Dell and Super Micro as Big Tech's AI spending is projected to exceed $730 billion this year1
.For fiscal 2027, HPE now projects revenue growth of 13% to 17%, up from its previous forecast of 8% to 12%, with adjusted EPS growth of 16% to 20% versus the prior 12% to 16% forecast
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. Myers indicated that HPE expects enterprise adoption of AI to support growth beyond the current fiscal year as customers continue deploying systems that demonstrate measurable productivity improvements1
. Notably, the company's guidance does not assume any ramp of the AMD Helios platform, which is expected to begin within the next year, suggesting potential upside to current projections2
. Watch for how quickly HPE can resolve memory and component supply constraints, whether the company can maintain its pricing discipline as competition intensifies, and how rapidly enterprise customers move from AI testing phases to full-scale production deployments that drive sustained inferencing workloads demand.Summarized by
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