Hewlett Packard Enterprise Company earnings call
Orders more than doubled, record backlog
HPE reported a record Q2 FY26 with revenue of $10.7 billion (up 40%), driven by exceptional AI and traditional server demand, strong networking growth, and significant pricing power. Management raised FY26 EPS guidance to $3.35-$3.45, and provided an initial FY27 framework with EPS growth of 12%-16% and FCF of at least $4.5 billion. HPE reported Q2 FY26 revenue of $10.7 billion (+40% YoY) and non-GAAP EPS of $0.79 (+108%), significantly beating guidance.
Buzzberg read Orders more than doubled, record backlog HPE reported a record Q2 FY26 with revenue of $10.7 billion (up 40%), driven by exceptional AI and traditional server demand, strong networking growth, and significant pricing power. Management raised FY26 EPS guidance to $3.35-$3.45, and provided an initial FY27 framework with EPS growth of 12%-16% and FCF of at least $4.5 billion. HPE reported Q2 FY26 revenue of $10.7 billion (+40% YoY) and non-GAAP EPS of $0.79 (+108%), significantly beating guidance. Read full analysisCollapse analysis
HPE reported a record Q2 FY26 with revenue of $10.7 billion (up 40%), driven by exceptional AI and traditional server demand, strong networking growth, and significant pricing power. Management raised FY26 EPS guidance to $3.35-$3.45, and provided an initial FY27 framework with EPS growth of 12%-16% and FCF of at least $4.5 billion. HPE reported Q2 FY26 revenue of $10.7 billion (+40% YoY) and non-GAAP EPS of $0.79 (+108%), significantly beating guidance.
- Management raised FY26 non-GAAP EPS guidance to $3.35-$3.45 (from ~$2.40), and free cash flow to at least $3.5 billion.
- AI systems backlog hit a record $5.9 billion entering Q3, and cumulative 'networks for AI' order target was raised to at least $2 billion for FY26.
- Traditional server and networking demand is extraordinary, with orders growing triple digits and upper 20% respectively, constrained only by component supply.
What matters now
The highest-signal changes from the call.
AI systems cumulative bookings reach $16.4 billion
Fiscal 2026 EPS outlook raised to $3.40 midpoint
Show 3 more callouts
Networking orders up, campus branch records
Net leverage target reached one year early
Self-driving network reduces incidents by 75%
Actuals
| Metric | Reported | Change |
|---|---|---|
| Revenue | $10.678B | +15% QoQ |
| EPS | $0.79 | +22% QoQ |
| Gross margin | 36.52% | Reported |
| Operating margin | 7% | Reported |
| Free cash flow | $0.827B | +36% QoQ |
| Capex | $0.583B | Reported |
Forward guidance
| Metric | Period | Range | Midpoint | Status |
|---|---|---|---|---|
| EPS | FY2026 | $3.35–$3.45Above consensus | $3.40 | Raised |
| EPS | FY2027 | $3.75–$4.00 | $3.88 | Initiated |
| Free cash flow | FY2027 | $4.5B | $4.5B | Initiated |
| Free cash flow | FY2026 | $3.5B | $3.5B | Raised |
| Revenue | FY2026 | $45.3B–$46.7B | $46B | Raised |
| RevenueCLOUD_AND_AI | FY2026 | 20%–24% | 22% | Raised |
| RevenueNETWORKING | FY2026 | 72%–75% | 73.5% | Raised |
| RevenueCLOUD_AND_AI | FY2027 | 8%–12% | 10% | Initiated |
Management read
Upbeat
Management expressed strong confidence in demand durability and raised full-year guidance significantly, citing record backlog and pipeline multiples.
Management AI read
Management highlighted accelerating demand for agentic AI and AI inferencing, with AI systems orders of $1.8 billion in Q2 and cumulative bookings of $16.4 billion. They emphasized the shift toward enterprise and sovereign AI deployments and the growing importance of inferencing, which they expect to dominate demand by the end of the decade. The company raised its fiscal 2026 networks for AI order
Investment and capacity
Management did not provide specific capital expenditure figures but discussed supply chain investments, including securing long-term agreements with silicon and memory partners and building inventory to support second-half AI shipments. They also highlighted a reduction in employee headcount and rationalization of the global lab footprint as part of cost initiatives.
Companiesreturns since call
Customers
Lowe's is deploying HPE's networking portfolio (Mist AI, EdgeConnect) as the foundation for its digital and AI-enabled operations, representing a large enterprise win for HPE.
Evidence
“One customer taking advantage of the power of our combined campus and branch networking portfolio is Lowe's. With over 1,750 stores across North America, Lowe's chose HPE to deliver the network foundation for a major technology”
Partners
HPE's upcoming scale-up switch is tailored for AMD's Helios architecture, strengthening AMD's Ethernet-based AI rack ecosystem against NVLink competitors.
Evidence
“HPE is developing a scale-up Ethernet switch and software designed specifically for the AMD Helios AI rack scale architecture, which we expect will be introduced in the fall.”
HPE's Private Cloud AI offering is deeply integrated with NVIDIA, and upcoming announcements will deepen this software-level partnership.
Evidence
“You can see the momentum in enterprise, and in particular with our AI factor for enterprise, which is private cloud AI. By the way, deep, deep integration with NVIDIA, and you're going to see more of that in a couple of weeks, which”
Suppliers
HPE's traditional server orders grew triple-digits, but unit volumes were constrained by supply, implying significant pent-up demand and pricing power that may sustain into fiscal 2027. — Even with significant price increases, server demand remains elastic, driven by AI inferencing needs, which suggests that memory and networking component price increases may persist.
Evidence
“We believe now we are the largest OEM partner of Broadcom in the networking space and also combined with the rest of the business.”
Supply chain
Gartner continues to rank HPE as a leader in enterprise LAN infrastructure, reinforcing HPE's competitive position against Cisco and others.
Evidence
“HPE, for the 20th time in a row, was named a leader in the Gartner Magic Quadrant for enterprise wire and wireless LAN infrastructure.”
HPE's traditional server orders grew triple-digits, but unit volumes were constrained by supply, implying significant pent-up demand and pricing power that may sustain into fiscal 2027. — Even with significant price increases, server demand remains elastic, driven by AI inferencing needs, which suggests that memory and networking component price increases may persist.
Evidence
“Traditional server orders increased triple digits as customers continue to modernize their compute infrastructure and invest in AI inferencing.”
HPE's 'networks for AI' orders are now expected to reach at least $2 billion cumulative in FY26, up from a prior target, and routing orders grew nearly 30% in Q2, indicating accelerating demand for scale-across networking for data center interconnect. — This signals a potentially faster-than-expected share shift in high-end data center switching and routing, posing a greater competitive threat to established players.
Evidence
“Because of our leading innovation and market momentum in networks for AI, we are raising our cumulative fiscal 2026 networks for AI order target to at least $2 billion.”
Supply-chain alpha · 4returns since call
HPE's traditional server orders grew triple-digits, but unit volumes were constrained by supply, implying significant pent-up demand and pricing power that may sustain into fiscal 2027.
HPE's 'networks for AI' orders are now expected to reach at least $2 billion cumulative in FY26, up from a prior target, and routing orders grew nearly 30% in Q2, indicating accelerating demand for scale-across networking for data center interconnect.
HPE is the first OEM to productize a Tomahawk 6-based 100% liquid-cooled switch and will introduce a switch for AMD's Helios rack-scale architecture in the fall, positioning HPE to win next-generation AI networking sockets.
Despite HPE's revenue strength, inventory is being built ahead of expected second-half AI shipments, but free cash flow conversion is improving, with a record cash conversion cycle improvement driven by supplier payment terms.
Methodology & coverage
Management-only analysis. All 8 validated company mentions are shown. Reported actuals and forward guidance are kept separate. Public evidence is limited to eight short attributed quotes. AI-generated analysis can be incomplete or wrong; verify important claims against the original source.