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Can Networking Propel HPE Past its AI-Infra Rivals?
HPE’s path to $3.00 non-GAAP EPS is paved by Networking, Enterprise AI, and GreenLake; focus shifts to profitable growth and $3.5B+ free cash flow by FY28.
Key Highlights:
HPE is aggressively pivoting its portfolio to higher-growth, higher-margin segments, especially post the Juniper Networks acquisition.
The company targets non-GAAP diluted net EPS of at least $3.00 and free cash flow of over $3.5 billion by the end of fiscal year 2028.
The strategic plan focuses on capturing profitable AI infrastructure growth, prioritizing sovereign and enterprise customers.
GreenLake is positioned to accelerate high-margin software and services revenue by driving deeper customer cross-sell opportunities.
HPE affirmed its commitment to shareholder returns, increasing the annual dividend by 10% for FY2026 and boosting share repurchase capacity by $3 billion.
Analyst Take
HPE's strategic and execution priorities were detailed at their Securities Analyst Meeting, and our analysis points to a clear and highly ambitious pivot. The core of this strategy is a deliberate shift away from the lower-margin server commodity business toward a potent mix of high-growth, high-margin areas: an expanded, AI-native Networking business, profitable AI infrastructure for targeted customers, and the continued expansion of the GreenLake hybrid cloud platform. This is a fascinating course correction, one that aims to change the very character of the company.
The financial targets are certainly eye-catching and suggest a profound confidence in this new structure. Aiming for a non-GAAP diluted net EPS of at least $3.00 and generating more than $3.5 billion in free cash flow by fiscal year 2028 is a bold declaration. To achieve this, HPE projects a compounded annual revenue growth rate of 5% to 7% and non-GAAP operating profit growth between 11% and 17% through that period. These numbers signal a belief that the quality of the revenue mix, rather than sheer volume, is the true engine of value creation. The 10% dividend hike for fiscal year 2026 and the substantial $3 billion boost to the share repurchase authorization serve as an emphatic statement of that financial confidence and a commitment to immediate shareholder reward.
The first, and perhaps most significant, pillar of this new chapter is the creation of a networking industry leader. The acquisition of Juniper Networks is clearly designed to be a disruptive maneuver, granting HPE a pacesetting, AI-native networking portfolio that spans campus, branch, data center, and wide-area networks. This is a challenge to the established order, architected to fuel innovation with AI and for AI. The focus is now on utilizing this expanded breadth and go-to-market scale to achieve greater profitability.
Second, the company is determined to capture profitable growth in the explosive AI infrastructure market. We appreciate the clarity in their approach: rather than chasing every deal, HPE intends to focus on the sovereign and enterprise customer segments. This is a smart, defensible position. Sovereign AI deals, in particular, tend to be large, sticky, and less price-sensitive, emphasizing security and local control, areas where a hybrid cloud and on-premises specialist such as HPE has a distinct advantage over pure-play hyperscalers. The strategy here is not just about selling servers; it is about delivering a complete, integrated AI infrastructure stack.
Third, the acceleration of the GreenLake platform remains fundamental. GreenLake aims to deliver a unified platform experience to simplify IT and reduce costs for enterprises. Crucially, it serves as the primary engine for accelerating high-margin software and services growth through cross-sell opportunities across the installed base. The consumption-based model is designed to drive annuity revenue and deeper customer relationships, which is a key differentiator in a world increasingly looking for cloud economics without the public cloud vendor
lock-in.
Finally, the company is addressing its core server and storage businesses through modernization and cost optimization. The transition of customers to next-generation server platforms, ProLiant Gen 11 and Gen 12, is a profitability exercise, focusing on richer configurations and higher average prices rather than just unit volume. Simultaneously, in storage, HPE is building on Alletra MP momentum to drive a transition to its own developed solutions. This is an internal optimization play, reducing reliance on third-party products to enhance gross margins—a move that demonstrates a mature focus on portfolio economics.
Underpinning all of these growth vectors is a commitment to operational execution and cost structure optimization. The Catalyst initiatives are designed to make the company faster, smarter, and more efficient, aiming for at least $350 million in gross savings by fiscal year 2028, in addition to at least $600 million from Juniper-related synergies. When you look at the totality of these actions—the shift in revenue mix, the targeted AI strategy, the GreenLake expansion, and the aggressive cost-cutting—it is evident that HPE is not just seeking incremental improvement. They are methodically architecting a higher-margin business model, one that aims to deliver superior capital returns. This is a commendably thorough and well-articulated plan.
Looking Ahead
The biggest takeaway from HPE's analyst meeting is the fundamental reframing of the company around networking and targeted, profitable AI infrastructure. This is not simply a business update; it is a declaration of a new strategic identity, heavily influenced by the Juniper Networks acquisition. The key trend that we are going to be tracking is the execution of the new Networking strategy and the speed at which HPE can realize the promised synergies and market disruption.
HPE in a distinct contest against rivals like Dell Technologies, Cisco, and Lenovo. Dell, for example, is also aggressively pursuing the AI infrastructure boom, but their strategy leans toward enormous scale, high GPU density, and leveraging its volume economics in server deployments. HPE’s counter-strategy, based on our analysis of the market, is specialization: emphasizing private AI infrastructure, a software-driven stack, and the financial flexibility offered by the GreenLake consumption model.
HPE’s focus on sovereign and enterprise private AI is a neat move, challenging the hyperscalers and volume vendors by targeting customers with stringent data control and governance needs—a segment that McKinsey and Deloitte have highlighted as requiring a return to the edge and more localized control.
The contest with Cisco is perhaps even more direct now. Cisco recently bolstered its position with the Splunk acquisition, which aims to create a unified network observability and security platform. HPE’s Juniper acquisition similarly focuses on an AI-native networking portfolio, directly challenging Cisco’s established dominance. HyperFRAME will be tracking how the company performs on the integration and cross-selling of Juniper's Mist AI-driven networking architecture into the GreenLake ecosystem in future quarters.
That integration is paramount. If HPE can seamlessly deliver a unified, AI-native, edge-to-cloud consumption experience through GreenLake, it has the potential to become a truly exceptional offering in the market. The next few quarters will demonstrate if the pivot to higher-margin revenue can drive non-GAAP EPS toward the $3.00 target, a feat that would fundamentally revalue the stock.
We believe HPE can improve the competitiveness of its portfolio over the next 12 months by creating a new networking industry stalwart through the uninterrupted integration of Juniper Networks, providing a secure, AI-native portfolio across the full stack from campus to data center. In Enterprise AI, the HPE strategy needs to focus on capturing profitable growth in the infrastructure market by concentrating on high-value sovereign and enterprise customers and delivering the AI Factory portfolio built on its private cloud offerings. For its GreenLake platform, the company needs to accelerate high-margin software and services growth by attracting new customers, increasing its share of wallet through cross-sell opportunities, and leveraging the new GreenLake Intelligence framework which injects agentic AI into hybrid cloud operations to simplify IT and enhance operational efficiency.
Ron Westfall | Analyst In Residence
Ron Westfall is a prominent analyst figure in technology and business transformation. Recognized as a Top 20 Analyst by AR Insights and a Tech Target contributor, his insights are featured in major media such as CNBC, Schwab Network, and NMG Media.
His expertise covers transformative fields such as Hybrid Cloud, AI Networking, Security Infrastructure, Edge Cloud Computing, Wireline/Wireless Connectivity, and 5G-IoT. Ron bridges the gap between C-suite strategic goals and the practical needs of end users and partners, driving technology ROI for leading organizations.
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Don Gentile | Analyst-in-Residence -- Storage & Data Resiliency
Don Gentile brings three decades of experience turning complex enterprise technologies into clear, differentiated narratives that drive competitive relevance and market leadership. He has helped shape iconic infrastructure platforms including IBM z16 and z17 mainframes, HPE ProLiant servers, and HPE GreenLake — guiding strategies that connect technology innovation with customer needs and fast-moving market dynamics.
His current focus spans flash storage, storage area networking, hyperconverged infrastructure (HCI), software-defined storage (SDS), hybrid cloud storage, Ceph/open source, cyber resiliency, and emerging models for integrating AI workloads across storage and compute. By applying deep knowledge of infrastructure technologies with proven skills in positioning, content strategy, and thought leadership, Don helps vendors sharpen their story, differentiate their offerings, and achieve stronger competitive standing across business, media, and technical audiences.
Steven Dickens | CEO HyperFRAME Research
Regarded as a luminary at the intersection of technology and business transformation, Steven Dickens is the CEO and Principal Analyst at HyperFRAME Research.
Ranked consistently among the Top 10 Analysts by AR Insights and a contributor to Forbes, Steven's expert perspectives are sought after by tier one media outlets such as The Wall Street Journal and CNBC, and he is a regular on TV networks including the Schwab Network and Bloomberg.