Key Takeaways
- On Monday, Raymond James reduced HPE’s rating from “Strong Buy” to “Outperform,” expressing reduced conviction in near-term growth prospects.
- The investment firm decreased its price objective to $29 from $30, though it maintains HPE remains an appealing value play.
- HPE’s Cloud & AI division has underperformed relative to analyst projections, partially attributable to strategic emphasis on profitability rather than volume expansion.
- While the networking business displays potential, it encounters obstacles with campus solutions and the ongoing Juniper acquisition integration.
- Analysts at Raymond James project only modest mid-single-digit revenue expansion for HPE in the near term.
Shares of Hewlett Packard Enterprise (HPE) tumbled over 3% during Monday’s session following a rating reduction from Raymond James, which highlighted increasing uncertainty surrounding the company’s expansion prospects.
Hewlett Packard Enterprise Company, HPE
The brokerage downgraded HPE from its highest “Strong Buy” recommendation to “Outperform” — maintaining a positive stance, though the market interpreted the shift negatively. Lead analyst Simon Leopold and colleagues attributed the adjustment to “diminished clarity regarding expansion opportunities and potential catalysts.”
HPE shares declined roughly 1% during premarket hours before accelerating downward following the opening bell.
The rating change doesn’t signal fundamental deterioration in HPE’s business model. Raymond James continues to view the shares as undervalued, noting forward P/E multiples below sector comparables. However, the firm emphasized that attractive valuation metrics alone cannot justify premium ratings without identifiable growth drivers.
Conservative AI Approach Limits Revenue Expansion
The Cloud & AI business unit was expected to serve as HPE’s primary growth driver. That narrative hasn’t materialized as anticipated. Leopold’s research group observed that executives have deliberately prioritized sovereign and traditional enterprise clients over massive cloud infrastructure providers and foundation model developers — a calculated approach that safeguards profit margins while constraining market opportunity.
“While we believe HPE’s decision to emphasize AI profitability over volume expansion is strategically sound for the organization, this approach limits revenue growth while preserving healthy margins,” the research note stated.
This strategic choice carries tangible consequences. By avoiding participation in large-scale AI infrastructure competitions, HPE sidesteps the intense margin compression associated with hyperscaler contracts. Conversely, this positioning means foregoing participation in what represents the most substantial AI capital expenditure cycle in recent history.
Raymond James additionally reduced financial projections, highlighting unknowns related to customer demand patterns, pricing flexibility, and supply chain constraints — particularly memory component availability.
Networking Business Shows Potential Despite Headwinds
HPE’s networking operations receive a more nuanced assessment. The analysts recognize opportunities within data center networking infrastructure supporting AI workloads. However, campus networking solutions have delivered disappointing results, while the Juniper acquisition continues creating integration challenges.
These combined factors have prevented the networking division from emerging as the growth accelerator many anticipated.
Regarding Supermicro market share opportunities, Leopold’s team acknowledged that HPE might theoretically benefit from customers seeking alternatives following recent federal legal action involving that competitor, though they believe Dell and Gigabyte possess superior positioning to capture displaced business.
The updated $29 price objective, reduced from $30, continues suggesting appreciation potential from present trading levels. Raymond James forecasts mid-single-digit percentage revenue growth over upcoming years, with the longer-term investment thesis dependent upon whether HPE’s AI initiatives and consumption-based service models can generate meaningful momentum.



