Hewlett Packard Enterprise saw a notable pre-open advance, with its shares up 4.7% before the market opened as investors moved into the stock ahead of the company’s fiscal third-quarter 2026 results, which are scheduled for release after the close. The stock was trading at $53.28, up from a prior close of $50.87.
Market participants pointed to recent analyst activity as a key driver of the pre-market strength. On September 1, Deutsche Bank began coverage of HPE with a Buy rating and set a $62 price target. Shortly thereafter, Bank of America raised its price target for the company from $80 to $82, highlighting HPE’s improved positioning in AI infrastructure. Those two analyst actions, occurring on the day before the earnings announcement, gave traders a fresh, fundamental rationale to increase long exposure in pre-market hours.
Investors are also assessing the underlying earnings setup. Consensus forecasts call for roughly 32% revenue growth for the quarter and project more than a doubling of earnings per share year over year. Historical performance is part of the narrative as well: HPE has reported EPS above consensus in each of the last four quarters, beating estimates by an average of approximately 16%.
Bulls have repeatedly pointed to the company’s AI server backlog as evidence of durable demand. That backlog stands at $6.3 billion, with about two-thirds of orders concentrated in enterprise and sovereign deployments. The prominence of AI-related demand is being reinforced across the sector, with Broadcom also reporting results on the same day and keeping attention on AI infrastructure trends.
Despite the gain in HPE shares, broader US equity benchmarks were offering little support. The S&P 500, Dow Jones, and Nasdaq were each trading modestly lower in early activity, leaving the stock’s pre-market rally to reflect company-specific factors rather than a broad market advance.
In short, three elements combined to lift HPE ahead of its quarterly report: imminent earnings, clustered analyst endorsements, and a strong AI-driven backlog. Those forces were enough to push the stock higher in pre-market trading even as the wider market drifted into negative territory.