Oracle’s $638 Billion AI Backlog Signals Massive Growth — and a Massive Financing Test

Oracle’s AI Transformation Is Accelerating Faster Than Its Cash Generation

Oracle (ORCL) is moving deeper into the hyperscale AI infrastructure market, with cloud now accounting for 52% of quarterly sales and cloud infrastructure revenue growing 93% in the most recent quarter. Full-year fiscal 2026 revenue rose 17% to $67.4 billion, while cloud infrastructure revenue increased 77% to $18.1 billion.

The clearest evidence of future demand is Oracle’s remaining performance obligations, or RPO, which climbed 363% year over year to $638 billion. Yet building the infrastructure needed to convert those commitments into revenue required $55.63 billion in fiscal 2026 capital expenditures, pushing free cash flow to negative $23.7 billion. That combination of extraordinary contracted demand and extraordinary capital requirements has become the central issue surrounding ORCL stock.

Key Points

• Oracle’s remaining performance obligations reached $638 billion, up 363% year over year, providing substantial multi-year revenue visibility as AI infrastructure demand expands.
• Fiscal 2026 capital expenditures reached $55.63 billion and free cash flow fell to negative $23.7 billion as Oracle aggressively builds data-center capacity.
• Oracle is expanding its multi-cloud reach through Amazon Web Services while management targets $90 billion in fiscal 2027 revenue and a 31% revenue compound annual growth rate through fiscal 2030.

AI Demand Is Reshaping Oracle’s Business

Oracle’s transformation from a database-focused enterprise software company into a major AI infrastructure provider is becoming increasingly visible in its financial results.

Fiscal 2026 revenue increased 17% to $67.4 billion, while cloud infrastructure revenue surged 77% to $18.1 billion. Full-year non-GAAP operating income reached $28.9 billion and non-GAAP earnings per share increased 27% to $7.63.

The company’s $638 billion RPO provides another measure of the scale of the transformation. RPO represents contracted revenue that has not yet been recognized. Oracle said 12% of the backlog is expected to convert during the next 12 months, with another 34% converting across the following two years.

Management is guiding fiscal 2027 revenue to $90 billion and non-GAAP EPS of $8.05 while reconfirming a 31% revenue compound annual growth rate through fiscal 2030.

Oracle is also broadening the reach of its database and cloud infrastructure through partnerships with other major cloud providers.

On August 13, Oracle and Amazon (AMZN) expanded their strategic collaboration with the general availability of Oracle Exadata Database Service on Exascale Infrastructure through Oracle AI Database@AWS.

The service is available across 22 AWS regions worldwide and allows customers to operate Oracle databases alongside AWS analytics and generative AI services without moving or duplicating their data.

That combination connects Oracle’s established enterprise database business with the broader expansion of cloud computing and generative AI infrastructure.

Why Has Oracle’s AI Expansion Become a Financing Story?

The scale of Oracle’s backlog tells only one side of the story. The other is the amount of capital required to build enough infrastructure to serve it.

Oracle spent $55.63 billion on capital expenditures during fiscal 2026. That contributed to negative free cash flow of $23.7 billion.

The company also raised $48 billion through combined debt and equity financing and plans to raise approximately $40 billion in fiscal 2027, including through a $20 billion at-the-market equity program.

Total liabilities stand at $218.7 billion.

This creates a fundamentally different financial profile from some of Oracle’s largest cloud competitors. Amazon, for example, generated $161.4 billion in trailing 12-month operating cash flow as of its second-quarter 2026 results. Amazon’s free cash flow was also negative as AI infrastructure spending accelerated, but the outflow was $7.6 billion.

For Oracle, the critical connection is therefore between capital spending today and the future conversion of its enormous backlog.

Management expects Oracle Cloud Infrastructure margins to reach 30% to 40%, with steady-state returns on invested capital in the high-20% range. Delivering those economics as new infrastructure becomes operational would determine how effectively the current investment cycle translates into future profitability.

The physical buildout remains substantial. Investors are watching gigawatt-scale capacity delivery from Abilene and additional sites in Texas, New Mexico, Michigan and Wisconsin.

Oracle is also connected to a wider infrastructure expansion involving power availability. Cloverleaf Infrastructure has sold more than seven gigawatts of powered land to data-center developers, including Wisconsin sites for Oracle and OpenAI, while maintaining a pipeline exceeding 10 gigawatts.

The AI infrastructure race, in other words, increasingly involves not only software and computing capacity but also financing, power and the physical construction needed to bring that capacity online.

Can Oracle Convert Its $638 Billion Backlog Into Profitable Growth?

This is the central question for investors.

The backlog gives Oracle significant revenue visibility, but it must ultimately convert into recognized revenue while producing acceptable margins and returns on the enormous amount of capital being deployed.

Customer concentration adds another variable. A large portion of Oracle’s backlog is tied to a relatively small group of hyperscale AI customers, while reporting has raised questions about whether one of the largest commitments could ultimately be renegotiated or extended over a longer period.

That makes the pace of RPO conversion especially important.

Oracle’s broader market opportunity remains substantial. The hyperscale data-center market is projected to expand from $162.79 billion in 2024 to $608.54 billion by 2030, representing a 24.6% compound annual growth rate.

Oracle is among the major companies participating in that expansion alongside Microsoft (MSFT), Google, AWS, Alibaba, HPE, Arista, Dell, Tencent and IBM.

The infrastructure requirements are also expanding as AI workloads become more demanding. Hyperscale facilities require increasingly sophisticated servers, storage, networking, cooling and power systems, while greenfield construction is expected to be the fastest-growing deployment category.

Oracle therefore enters this expansion with both substantial contracted demand and substantial execution requirements.

The company must build capacity, secure power, finance construction, bring infrastructure online and convert its backlog into revenue while reaching its targeted OCI economics.

What It Means for Investors

Oracle’s AI story is no longer simply about whether demand for cloud computing will grow. The $638 billion RPO figure demonstrates that the company already has an unusually large pool of contracted business.

The more consequential questions concern conversion and economics.

RPO increased 363% year over year, cloud infrastructure revenue increased 77% for fiscal 2026, and management expects $90 billion in fiscal 2027 revenue. Those figures establish the scale of Oracle’s growth opportunity.

At the same time, $55.63 billion in fiscal 2026 capital expenditures and negative $23.7 billion in free cash flow demonstrate what Oracle is spending to pursue it.

That makes several operating measures particularly important: RPO conversion, OCI growth, OCI margins, capital expenditures, free cash flow and the timing of new data-center capacity.

Customer concentration matters as well. The economics of Oracle’s expansion depend not only on building infrastructure but also on large AI customers using the capacity represented by their commitments.

Oracle’s collaboration with AWS provides another dimension to the story. Allowing enterprises to use Oracle databases directly alongside AWS analytics and generative AI services expands Oracle’s ability to participate in enterprise AI workloads without requiring customers to abandon another cloud ecosystem.

The result is an investment case built around a significant trade-off: Oracle has accumulated one of the largest AI infrastructure backlogs in the market, but realizing that opportunity requires one of the most capital-intensive expansions in the company’s history.

Conclusion

Oracle has entered a new phase of its evolution.

Its database business is increasingly connected to a much larger cloud and AI infrastructure strategy, reflected in rapid OCI growth, expanding multi-cloud partnerships and $638 billion of remaining performance obligations.

But the transformation carries a substantial price.

Oracle spent more than $55 billion on capital expenditures in fiscal 2026, generated deeply negative free cash flow and is using debt and equity financing to support further expansion.

The next stage of the Oracle story therefore depends less on proving that AI infrastructure demand exists and more on demonstrating that contracted demand can become profitable revenue at sufficient scale.

If Oracle’s backlog converts according to schedule while OCI reaches management’s targeted margins and returns, the current infrastructure buildout would increasingly show up in operating results. If conversion slows or capital requirements remain elevated for longer, the financial burden of the expansion becomes more consequential.

For ORCL investors, the $638 billion backlog and the capital required to fulfill it now belong to the same story.

FAQs

Why is Oracle investing so heavily in AI infrastructure?

Oracle is expanding cloud infrastructure to serve growing AI and enterprise computing demand. Its remaining performance obligations reached $638 billion, up 363% year over year, while cloud infrastructure revenue increased 77% in fiscal 2026.

How much did Oracle spend on capital expenditures in fiscal 2026?

Oracle spent approximately $55.63 billion on capital expenditures during fiscal 2026. The spending contributed to free cash flow of negative $23.7 billion as the company expanded its AI and cloud infrastructure.

What does Oracle’s $638 billion RPO mean?

Remaining performance obligations represent contracted revenue that Oracle has not yet recognized. Oracle said 12% of its $638 billion RPO is expected to convert during the next 12 months and another 34% across the following two years.

What is Oracle AI Database@AWS?

Oracle AI Database@AWS allows customers to run Oracle database services alongside AWS analytics and generative AI services without moving or duplicating their data. Oracle Exadata Database Service on Exascale Infrastructure is available through the offering across 22 AWS regions worldwide.

What matters next for Oracle investors?

Key measures include RPO conversion, Oracle Cloud Infrastructure growth and margins, capital expenditures, free cash flow, customer concentration and the timing of new data-center capacity coming online.

This article was created with AI assistance and reviewed by an editor. For details, please refer to our Terms of Use.

Go Beyond the Market Brief with Market Edge

Follow SharperTrades’ complete approach to trading and investing, combining active trade opportunities through Block Orders, long-term research through Stock Investor, and structured market education through the Swing Trading Masterclass. Try Market Edge for $19 your first month →

Explore Research with Stock Investor

Stock Investor is SharperTrades’ platform for long-term investing research and portfolio management. Members receive research reports, portfolio updates, conviction tracking, and in-depth analysis designed to support disciplined investment decisions.

Explore Active Trading & Income Strategies

Block Orders tracks institutional activity and highlights active trade setups and price behavior across long and short opportunities.

For options-focused traders, Essential Option Income provides a structured approach to options income strategies, while Pro Option Trader offers a broader range of options strategies and trade opportunities.

Think More Clearly with SteadyCapital

SteadyCapital is SharperTrades’ decision-support system for long-term investors, built around the SteadyCapital Method™. Review investment ideas, challenge assumptions, evaluate valuation and risk, compare companies, and think through important buy, hold, add, trim, or sell decisions before you act.

Risk Disclosure

All content is provided for educational purposes only and does not constitute investment advice. Trading involves risk, and past performance is not indicative of future results. Please review our full Risk Disclosure for additional information.