Oracle stock slides as $40B AI funding plan eclipses earnings beat
Oracle’s latest quarterly report delivered what Wall Street wanted on paper: earnings and revenue ahead of expectations, a stronger profit outlook, and rapid expansion in cloud infrastructure. Yet the stock dropped about 5% in after-hours trading as investors shifted their focus from the earnings beat to the company’s massive new funding plans for artificial intelligence infrastructure.
The software giant reported adjusted earnings of $2.11 per share for its fiscal fourth quarter, well above the $1.96 per share expected by analysts surveyed by LSEG. Revenue came in at $19.18 billion, narrowly topping the consensus estimate of $19.10 billion. That represented a robust 21% increase compared with the same quarter a year earlier, underscoring the strength of Oracle’s shift toward cloud and AI-related services.
On a GAAP basis, net income climbed to $4.22 billion, or $1.45 per share, up from $3.43 billion, or $1.19 per share, in the prior-year quarter. The company emphasized that its adjusted figures exclude stock-based compensation. At the same time, Oracle nudged its long-term guidance higher, raising its fiscal 2027 adjusted earnings forecast to $8.05 per share, slightly ahead of analysts’ $8.01 expectation. The company left its fiscal 2027 revenue target unchanged at $90 billion, versus the $88.90 billion analysts were expecting.
For the upcoming fiscal first quarter, Oracle forecast adjusted earnings in a range of $1.72 to $1.76 per share and projected revenue growth of 27% to 29%. Those numbers signal management’s confidence that the current momentum in cloud and AI services can continue into the new fiscal year.
What unsettled investors was not the performance of the business, but the scale of Oracle’s spending ambitions. The company disclosed plans to raise roughly $40 billion through a mix of debt and equity financing to accelerate the build-out of AI infrastructure. That total includes a previously announced $20 billion share sale. The new plan follows an already aggressive financing push in fiscal 2026, when Oracle tapped markets for $43 billion in debt and an additional $5 billion in equity.
This heavy funding schedule highlights the enormous capital requirements of competing in the AI arms race. Oracle is trying to position itself as a core infrastructure provider for AI workloads, which demands vast investments in data centers, networking gear, and specialized chips like GPUs. However, the financing burden is also forcing investors to reassess the risk-reward balance: while future AI revenue may be substantial, the near-term hit to cash flows and balance sheet leverage is harder to ignore.
Evidence of that pressure is already visible. Oracle reported negative free cash flow of $23.7 billion for the fiscal year, a figure that has become a focal point for cautious shareholders. Management attributed much of this cash burn to upfront investments and the structure of AI-related contracts, which can involve prepayments, customer-supplied GPUs, and large-scale infrastructure commitments that pay off over a longer horizon than traditional software licenses.
At the same time, Oracle’s backlog of future business is exploding. The company’s remaining performance obligation (RPO)-a measure of contracted revenue not yet recognized-surged to $638 billion as of May 31. That represents a staggering 363% increase and blew past StreetAccount’s forecast of $595.67 billion. Oracle noted that “most of the RPO increase in both Q3 and Q4 were large scale AI contracts,” indicating that these long-term agreements are at the core of its growth strategy. In some cases, customers have either prepaid for GPU capacity or supplied GPUs directly to Oracle’s infrastructure.
Bank of America analysts estimate that more than half of Oracle’s RPO is tied to OpenAI, underscoring how central high-profile AI partnerships have become to the company’s story. While concentration in a marquee customer can amplify growth, it also introduces dependency risk if any single partner changes strategy, renegotiates terms, or shifts workloads to a rival cloud provider.
Drilling into the business lines, Oracle’s cloud operations remain the star performer. Cloud revenue climbed 47% year over year to $9.91 billion during the quarter. That result was just shy of the $9.97 billion analysts expected, but still reflects rapid expansion at scale. Within that segment, cloud infrastructure revenue-Oracle’s direct competitor to services like Amazon Web Services and Microsoft Azure-jumped 93% to $5.8 billion. For context, Amazon Web Services generated $37.59 billion in revenue in its most recent March quarter, which shows Oracle is still a challenger rather than a leader in size, but closing the gap in growth rate.
Not all parts of the business are moving in the same direction. Software revenue, including licenses and support, totaled $6.82 billion, down 2% from the prior year and below the StreetAccount estimate of $6.93 billion. This decline underscores the ongoing shift away from traditional on-premise licenses toward cloud-based subscription models. Investors must weigh whether the strength in cloud and AI will more than offset any erosion in legacy software revenue over time.
On the corporate side, Oracle appointed Hilary Maxson as its new chief financial officer during the quarter. Maxson, who previously held an executive role at Schneider Electric, steps into the CFO position at a pivotal time. Her task will be to balance aggressive investment in AI infrastructure with capital discipline, managing leverage, and articulating a clearer path from today’s cash-intensive build-out to tomorrow’s higher-margin, recurring AI revenue streams.
Oracle’s ecosystem is also expanding through partnerships and large-scale infrastructure projects. Related Digital and Blackstone secured financing for a planned $16 billion Oracle data center campus in Michigan, a sign of how third-party capital and real estate partners are being drawn into the effort to build the next generation of AI-ready facilities. Deals of this magnitude further illustrate why Oracle needs access to significant financing capacity and why investors are closely scrutinizing the company’s capital strategy.
Despite the post-earnings sell-off, Oracle shares were up about 3% in 2026 through Wednesday’s close, compared with a 6% gain for the S&P 500 over the same period. The relative underperformance suggests that while investors acknowledge Oracle’s progress, they remain cautious about the pace and cost of its AI-driven transformation.
From a strategic standpoint, the tension around Oracle’s stock reflects a broader dilemma facing nearly every major technology company: to compete in AI at scale, firms must commit massive sums to infrastructure years before the full payoff is visible in financial results. For Oracle, the $40 billion financing plan is both a statement of intent and a test of market patience. Bulls argue that the company is locking in multi-year, high-value contracts in one of the most important technology shifts of this era. Bears counter that the combination of rising debt, equity dilution, and negative free cash flow could erode shareholder value if execution falters or AI demand normalizes.
Another layer of complexity is competitive dynamics. While Oracle’s cloud infrastructure growth rate is impressive, its absolute market share still lags established hyperscalers. To maintain momentum, Oracle must differentiate with specialized AI offerings, tight integration with its database and enterprise software stack, and attractive economics for large AI customers. That differentiation is costly to build but crucial for justifying the scale of current and planned investments.
Investors will be watching several key signals in the coming quarters. First, the trajectory of free cash flow: even if it remains negative in the near term, an improving trend would reassure markets that the peak investment phase is temporary. Second, the mix and duration of new AI contracts: longer-term, higher-margin agreements with a diversified set of customers would support the long-term growth narrative. Third, leverage metrics and capital allocation policies: clarity on how quickly debt will be reduced, how much equity will be issued, and what role, if any, future buybacks or dividends might play will be central to restoring confidence.
For long-term shareholders, the current volatility may represent a classic “investment versus earnings” trade-off. Oracle is effectively asking the market to accept heavier upfront spending in exchange for a larger role in the AI infrastructure landscape over the next decade. Whether that bet pays off will depend not only on technology and demand trends, but also on disciplined financial management and the company’s ability to translate record RPO into profitable, sustainable cash flows.
In the near term, the stock’s reaction underscores a clear message from investors: beating quarterly estimates is no longer enough. In the AI era, what matters just as much is how a company funds its ambitions-and how convincingly it can show that today’s aggressive capital outlays will turn into tomorrow’s durable returns.