OCI Scale-Up and Valuation Re-rating Form Dual Upside Drivers

Overview

The report believes Oracle is entering a new stage of competition with large cloud service providers through the rapid expansion of its OCI infrastructure. AI training, inference, and enterprise compute demand are driving a significant increase in backlog, and capacity coming online is expected to bring a revenue inflection point. Although infrastructure buildout is ahead of revenue monetization, causing capital expenditure, leverage, and financing needs to rise sharply, Oracle's valuation discount versus peers already reflects many concerns. JPMorgan expects earnings growth and valuation re-rating to jointly support share price upside.

Core views

The core logic includes: first, US$638 billion in remaining performance obligations and persistently tight industry compute supply and demand provide high visibility for OCI growth; second, Oracle has the competitiveness to rapidly deliver capacity at lower infrastructure costs and can improve customer stickiness and long-term margins through database, PaaS, and application software; third, the rising share of AI infrastructure revenue will depress the company's overall gross margin but can significantly increase profit dollars; fourth, capital needs, debt levels, potential equity financing, and OpenAI-related customer concentration risks cannot be ignored; fifth, the current valuation shows a significant discount versus AI infrastructure builders and enterprise software peers, leaving room for valuation re-rating.

Analysis framework

The report combines backlog and customer contracts, OCI capacity and revenue growth, global AI compute supply and demand, per-GW infrastructure economics, segment margins, capital structure, and financing needs to make forecasts, and derives the price target using expected 2028 pro forma operating profit and peer valuation multiples, while also assessing customer concentration, execution capability, and technology differentiation risks.

Methodology notes

• Valuation methodsEnterprise Value to Pro Forma Operating Profit Multiple Method

  Calculate equity value by multiplying forecast operating profit by the target valuation multiple and subtracting net debt.

  The US$200 price target is based on approximately US$61.9 billion of 2028 pro forma operating profit and an approximately 13x enterprise value to pro forma operating profit multiple, calculating enterprise value and then subtracting net debt and dividing by the expected number of shares outstanding.

• Operating ForecastBacklog-Driven Revenue Forecast

  Forecast revenue by combining remaining performance obligations, the pace of compute capacity coming online, and contract monetization speed.

  Based on US$638 billion in remaining performance obligations, signed large customer contracts, and capacity delivery plans, the report expects OCI/IaaS revenue to reach US$180 billion in fiscal 2030.

• Industry AnalysisSupply-Demand Gap Analysis

  Compare global AI compute demand with available capacity to assess infrastructure utilization and the pricing environment.

  The report expects global capacity to increase from approximately 60GW in 2025 to approximately 253GW in 2031, while demand rises from approximately 116GW to approximately 532GW, leaving long-term supply still clearly insufficient.

• ProfitabilityUnit Capacity Economics Model

  Estimate AI infrastructure gross margin based on revenue per GW, equipment depreciation, and data center-related costs.

  Oracle's illustrative example assumes annual revenue of approximately US$10 billion per GW, with land, data center, power, and compute, networking, and storage costs together corresponding to a gross margin of approximately 35%.

• Relative ValuationPeer Comparison

  Compare valuation differences between Oracle and large cloud service providers, AI infrastructure builders, and enterprise software companies.

  The report believes capital intensity and financing concerns have caused Oracle to trade at a clear discount to both categories of peers; if execution is delivered and market concerns ease, there is room for valuation multiples to move higher.

Asset mapping & comparison

Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).

• ORCL.US

  Core research subject

  Strengths

  Has US$638 billion in remaining performance obligations, rapidly expanding OCI capacity, high GPU utilization, and a complete technology stack consisting of database, PaaS, and application software; current valuation is at a discount to comparable peers.

  Weaknesses

  The AI infrastructure business has a lower gross margin than traditional software, and expansion requires substantial upfront capital, pushing up debt, leverage, and financing needs.

  Comparison

  OCI scale remains significantly below AWS, Azure, and Google Cloud, but the growth rate listed in the report is faster; Oracle can use its enterprise database and application software base to achieve differentiation.

  Risks

  Customer concentration, contract performance, capital raising and equity dilution, credit rating pressure, capacity delivery delays, short-term margin volatility, and cloud market competition.

• META.US

  Large OCI customer and contributor to remaining performance obligations

  Strengths

  Its AI compute demand helps expand Oracle's customer base and reduces the degree to which backlog depends entirely on a single customer.

  Weaknesses

  The report does not provide the size, term, or specific revenue contribution of the Meta contract.

  Comparison

  Compared with the highly concentrated exposure to OpenAI, Meta together with customers such as xAI, Nvidia, and AMD reflects the broadening of Oracle's customer base.

  Risks

  Capital expenditure adjustments, contract changes, or a slowdown in compute demand from large customers could affect Oracle's order conversion.

Key data

• Current share priceUS$153.28As of August 12, 2026.
• Price targetUS$200.00Target date is December 2027, implying approximately 30% potential upside; previous price target was US$210 for December 2026.
• Remaining performance obligationsUS$638 billionUp 363% year over year, including customer contracts with OpenAI, Meta, xAI, Nvidia, and AMD.
• OCI/IaaS revenue forecastApproximately US$18 billion in fiscal 2026, US$180 billion in fiscal 2030JPMorgan forecast, with growth above the company's latest long-term framework.
• Company revenue CAGRApproximately 33%JPMorgan's forecast through fiscal 2030.
• EPS CAGRApproximately 29%JPMorgan's forecast through fiscal 2030.
• AI infrastructure gross margin30% to 40%The company's unit capacity example corresponds to a gross margin of approximately 35%.
• Expected annual capital raisingApproximately US$20 billion on averageIncludes approximately US$40 billion in fiscal 2027; used to support infrastructure investment.
• Fiscal 2026 OCI infrastructure revenueUS$18.1 billionApproximately one-ninth the scale of AWS, but the year-over-year growth rate listed in the report reaches 93%.
• GPU utilizationApproximately 97.5%Data disclosed by Oracle in the most recent quarter.
• Fiscal 2028 adjusted EPSUS$11.10Raised 4.7% from the previous forecast of US$10.59.
• Price target valuation basisApproximately 13x enterprise value to 2028 pro forma operating profitUses a 2028 pro forma operating profit forecast of approximately US$61.9 billion.

Impact & implications

If Oracle delivers compute capacity as planned and converts backlog into revenue, OCI scale growth will significantly increase the company's revenue, gross profit, and operating profit, and may narrow the valuation discount relative to cloud computing and enterprise software peers. Cross-selling of database, PaaS, and application software can further improve customer stickiness and long-term earnings quality. However, upfront spending for expansion will create short-term free cash flow pressure, higher leverage, and potential equity dilution; investment returns depend on customer performance, on-time capacity deployment, and the sustainability of high utilization.

Risks

• AI infrastructure construction is capital-intensive, and revenue monetization lags investment spending, which may continue to result in negative free cash flow.
• Expected capital raising needs of approximately US$20 billion on average per year may lead to equity dilution, higher financing costs, or pressure on the capital structure.
• Net leverage has exceeded 3x, and additional debt may further pressure credit ratings and financial flexibility.
• OpenAI's approximately US$300 billion five-year cloud computing agreement creates significant customer concentration risk in remaining performance obligations.
• Circular financing relationships involving OpenAI, Nvidia, and Oracle may weaken investor confidence in the sustainability of contracts.
• Data center and equipment investments occur before revenue recognition, and multiple projects under construction simultaneously may intensify short-term pressure on gross margin and operating margin.
• If capacity deployment is delayed, equipment costs exceed expectations, or GPU utilization declines, unit capacity economics may be weaker than forecast.
• Competition from AWS, Microsoft Azure, Google Cloud, and new cloud vendors may limit market share and pricing power.
• Some of Oracle's hardware-level cost advantages are not unique, and long-term differentiation depends on whether add-on sales of database, PaaS, and application software can be realized.
• Database market share is trending moderately, and if the competitiveness of the core software business declines, it will weaken the support that high-margin businesses provide for infrastructure expansion.

What to watch

• Whether new OCI capacity can come online as planned, including the approximately 1GW expected to be added in the first quarter of fiscal 2027.
• The speed at which US$638 billion in remaining performance obligations converts into revenue and the contract term structure.
• Changes in OpenAI's share of backlog, and progress in customer diversification from Meta, xAI, Nvidia, AMD, and enterprise customers.
• Whether OCI/IaaS revenue can grow along JPMorgan's forecast path of US$180 billion in fiscal 2030.
• Whether AI infrastructure gross margin can remain stable at 30% to 40%, and whether the company's overall operating margin can remain resilient.
• The scale, pricing, and dilution impact of annual capital expenditure, debt issuance, and potential equity financing.
• Changes in net leverage and credit ratings, and whether operating cash flow can gradually cover investment needs.
• Changes in GPU utilization, revenue per GW, and equipment depreciation costs.
• Cross-selling of Database, Autonomous AI Database, Fusion, NetSuite, and other PaaS services.
• Whether the global AI compute supply-demand gap and the financing capacity of large customers continue to support long-term demand.