Oracle beat fiscal Q4 revenue and earnings expectations, but the company’s AI infrastructure buildout became the center of the earnings story as investors focused on capital spending, financing needs, and the economics behind Oracle Cloud Infrastructure (OCI) growth.
During the June 10 earnings call, Oracle reported Q4 revenue of $19.2 billion, up 21% year over year, with total cloud revenue rising 47% to $9.9 billion. OCI revenue grew 93% to $5.8 billion, while cloud applications revenue increased 10% to $4.1 billion. Non-GAAP EPS was $2.11, up 24%, or $2.03 excluding one-time investment gains.
The larger number was Oracle’s remaining performance obligations. Remaining performance obligations (RPO) reached $638 billion at quarter end, up 363% year over year and $85 billion sequentially. Oracle said most of the RPO increase in Q3 and Q4 came from large-scale AI contracts in which customers either prepaid Oracle for GPUs or bought and supplied the GPUs themselves.
That helped Oracle frame the AI infrastructure story around committed demand rather than speculative capacity. But it also exposed the scale of spending required to turn those contracts into revenue. CNBC June 10 reports Oracle shares fell about 10% in extended trading after the results, as investors reacted to the company’s plan to raise more capital for its AI buildout. The Wall Street Journal June 10 similarly frames the quarter around surging cloud revenue and near-term margin pressure from data center investment.
AI Infrastructure Demand Surges
Oracle’s Q4 call made clear that OCI is now the company’s main growth engine.
Clayton Magouyrk, Oracle co-CEO, said the company signed $67 billion in AI infrastructure contracts during the quarter, with most of that value tied to bring-your-own-hardware or prepaid customer structures. Those arrangements brought Oracle’s total prepaid and customer-supplied hardware portions of large AI contracts to $75 billion.
Oracle also said it delivered more than 1.2 gigawatts of capacity to customers in FY2026 and expects Q1 FY2027 delivery to approach 1 gigawatt, nearly matching the prior four quarters combined. Magouyrk said Oracle’s global GPU utilization rate was 97.5%, and that four customers contracted for more than $8 billion each during the quarter.
The message: Oracle sees AI infrastructure as a much larger market than traditional cloud infrastructure. Magouyrk said AI infrastructure makes the existing cloud infrastructure market look small and argued that OCI can become both large and profitable as data center revenue reaches contracted levels.
Capital Spending Is a Constraint
The investor concern is not demand; it is the cost of meeting that demand.
Oracle generated $32 billion in operating cash flow in FY2026, up 54%, but free cash flow was negative $23.7 billion as the company accelerated infrastructure investment. Oracle said it raised $43 billion in debt and $5 billion in equity financing in FY2026. In FY2027, it expects to raise about $40 billion through debt and equity, including its previously announced $20 billion at-the-market equity issuance.
CFO Hilary Maxson said Oracle expects net cash outlay for capital expenditures of about $70 billion in FY2027. Reported CapEx will be higher by $20 billion to $25 billion because of customer prepayments and timing effects. She said Oracle does not expect to raise additional debt funding in calendar year 2026.
Maxson also said FY2027 gross margin will step down because of data center ramp timing and mix. Oracle expects infrastructure margins to improve as data centers reach full contractual revenue contribution.
During the analyst Q&A, Magouyrk addressed concerns about component cost inflation, especially memory and storage. He said Oracle uses fixed-price contracts when costs are known, but when supply-chain or future cost uncertainty is too high, Oracle uses mechanisms that can pass costs through. That, he said, helps prevent Oracle from absorbing reduced margins when component costs rise.
Analysis
What this means: Oracle’s AI infrastructure story depends on execution at industrial scale. The $638 billion RPO figure gives Oracle unusual revenue visibility, but the business case depends on how quickly the company can bring capacity online, manage funding needs, and preserve margins. For ERP vendors, enterprise architects, and transformation leaders, OCI’s role in Oracle’s ERP strategy now depends as much on data center delivery and capital discipline as on software roadmap execution.
Applications and Database Tie AI Back to ERP
Oracle also connected its AI infrastructure story back to enterprise applications and database growth.
Michael Sicilia, Oracle co-CEO, said customers have moved past the experiment stage with AI and are ready for “enterprise-ready, complete agentic solutions.” He said Oracle delivered more than 1,000 AI agents across its application suites over the past year, and that those agents can reason, decide, and execute work across processes.
Oracle Cloud Applications revenue rose 10% to $4.1 billion, while SaaS deferred revenue grew 16%. Sicilia said more than 300 Fusion customers went live during the quarter, including Westfield Insurance on Fusion ERP, Piraeus Bank on Oracle Banking, and Wright County Sheriff’s Office on Oracle Public Safety.
Oracle’s cloud database business grew 29%, with multicloud revenue up 404% and bookings up 325%. Sicilia said much enterprise AI value will come from inferencing against proprietary operational data already held in Oracle databases or generated by Oracle applications.
Oracle is not only selling AI compute to large model builders, it is also arguing that its cloud infrastructure, database, and Fusion applications create a single AI operating layer for enterprise processes.
Analysis
What this means: Oracle’s database and applications base remains central to its AI argument. The strongest ERP takeaway from the call was Oracle’s claim that enterprise AI value will come from combining infrastructure, applications, databases, and proprietary operational data. For customers and partners, that puts data readiness, multicloud architecture, and application modernization at the center of Oracle AI adoption.
Oracle Tests AI Pricing Models
Oracle also introduced more detail on how it plans to monetize AI inside applications.
Sicilia said much of Oracle’s AI innovation in core applications will continue to be included at no additional charge, but customers can also buy token bundles for access to additional agentic capacity and advanced reasoning models. Oracle began a limited rollout of token bundles in Q4, with 33 customers including Aon Services Corporation and Liberty Energy pre-purchasing tokens.
Oracle is also expanding outcome-based pricing across its applications portfolio. Sicilia said the model already exists in areas such as construction, hospitality, and healthcare, and is now being extended across the broader applications suite, including Fusion. Examples included interview agents priced by the number of candidates screened and hospitality upsell agents priced by a percentage of end-consumer upsell transactions.
That shift links AI pricing to measurable activity or business value rather than only seat counts or infrastructure usage. It also gives Oracle another way to connect its applications business to its AI infrastructure investment.
Analysis
What this means: AI agents are part of Oracle’s applications revenue model. Oracle’s token bundles and outcome-based pricing show how AI inside Fusion and industry applications may move beyond included functionality into measurable consumption and business-value models. For ERP product leaders and commercial teams, the signal is agentic AI pricing will need to align with process outcomes, not just user access.
FY2027 Guidance Holds the Growth Story Together
Oracle reaffirmed its FY2027 revenue guidance of $90 billion and raised its non-GAAP EPS guidance to $8.05. The company guided Q1 FY2027 revenue growth of 27% to 29%, cloud revenue growth of 58% to 64%, and non-GAAP EPS of $1.72 to $1.76.
The company also reconfirmed long-term targets of 31% revenue CAGR and 28% EPS CAGR through FY2030. Maxson said Oracle’s record RPO supports confidence in that outlook.
The question for Oracle now is execution. The company has clear AI infrastructure demand, a fast-growing backlog, and a stronger multicloud database story. It also has negative free cash flow, a large financing plan, near-term margin pressure, and a capital buildout that must translate contracted demand into delivered capacity.
