Oracle's shares have plunged 56% from their 2025 high as of August 19, even as the company sits on a $638 billion order backlog driven by AI workloads, according to a report published by SaasRise on August 24, 2026. The dramatic stock decline comes ahead of Oracle's fiscal 2027 first-quarter earnings, highlighting a tension between explosive cloud growth and mounting financial obligations. The company's massive AI-related remaining performance obligations promise future subscription revenue, but investor concerns about debt levels and customer concentration have overshadowed the growth story.
In the fourth quarter of fiscal 2026, Oracle posted total revenue of $19.2 billion, with cloud infrastructure sales jumping 93% to reach $5.8 billion, the report states. Remaining performance obligations surged 363% to $638 billion, with $300 billion of that total tied to contracts with OpenAI. The company carries $122 billion in long-term debt and plans to secure an additional $40 billion in financing. Oracle's shares now trade at a price-to-earnings ratio of 24.7 times, sitting below both the S&P 500's 26.5 times multiple and the Nasdaq-100's 35 times valuation.
The report characterizes Oracle's situation as "a classic case of growth versus leverage," noting that the company's technical advantages—high-speed RDMA networking and fast data-center buildout—appeal to AI developers hunting for affordable compute power. According to the analysis, the $638 billion backlog's heavy dependence on a single customer creates conversion risk that's amplified by the firm's $122 billion debt burden. The report observes that historically, SaaS companies that over-leveraged to build infrastructure have either captured dominant market positions or encountered liquidity problems when expansion slowed.
Oracle's pricing approach—delivering high-performance AI compute at lower cost through proprietary networking—could compel competitors to rethink their cost structures, the report finds. Microsoft and AWS have traditionally competed on scale and breadth, but Oracle's pledge of faster, cheaper AI infrastructure may attract mid-sized enterprises that are price-conscious. If Oracle can show a steady pace of backlog conversion, it could validate a debt-financed, high-growth playbook for AI-native SaaS platforms, the report states. A miss on the September earnings, however, could push the market toward more financially disciplined cloud providers and reinforce the premium on cash-flow positivity in the SaaS sector. The report recommends investors watch three leading indicators: the rate at which Oracle's remaining performance obligations decline (signaling revenue realization), adoption of its AI infrastructure by customers beyond OpenAI, and any changes to its financing roadmap, noting these metrics will decide whether Oracle's AI-driven ambitions create a sustainable competitive advantage or become a cautionary tale of overextension. The trade-off between high-growth AI opportunities and balance-sheet health will likely influence how capital flows across the entire enterprise software sector. Whether Oracle's bet on debt-fueled infrastructure expansion reshapes industry norms or serves as a warning will depend on execution over the coming quarters.