HPE Q2 Earnings Lift Outlook on AI, Networking
HPE Q2 earnings reported a record quarter as HPE pulled forward 2028 targets and raised its outlook, prompting investor flows into AI and networking.
KEY TAKEAWAYS
- HPE reported a record fiscal Q2 and said it will achieve prior 2028 targets this fiscal year.
- Networking revenue grew 148.0% year over year, driven by Juniper integration and AI demand.
- Management raised full-year profit outlook above the prior $2.30–$2.50 EPS range.
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Hewlett Packard Enterprise (HPE) reported record fiscal second-quarter 2026 results on June 1, 2026, and accelerated its prior 2028 financial targets into the current fiscal year after surging demand for AI systems and networking. This prompted management to raise the full-year profit outlook.
Record Quarter and Outlook
HPE said it now expects to achieve its prior fiscal 2028 financial targets in the current fiscal year. Before Q2, management had set full-year 2026 non-GAAP earnings per share (EPS) guidance at $2.30–$2.50 and free cash flow guidance at least $2.0 billion. After the quarter, the company raised its full-year profit outlook above that EPS range and above prevailing analyst consensus.
Pre-event Q2 guidance issued March 9, 2026, called for non-GAAP EPS of $0.51–$0.55 and revenue of $9.6–$10.0 billion. Post-release accounts described the actual results as beating both revenue and EPS expectations.
Networking and AI Demand
HPE’s networking revenue grew 148.0% year over year in the quarter, driven by demand for AI data center infrastructure and the integration of Juniper Networks. The Juniper acquisition significantly increased networking scale; prior disclosures show networking accounted for roughly 30.0% of total revenue and more than half of operating profit in Q1 2026.
The company entered the quarter with a $5.0 billion AI Systems backlog and had booked $1.2 billion of new AI Systems orders in Q1, supporting demand for AI servers, systems, and network equipment.
Post-quarter commentary confirmed strong profitability despite a heavier mix of AI servers, with higher-margin networking and services offsetting margin pressure from dense AI deployments. The updated outlook also included higher full-year free cash flow expectations.
