Oracle’s $664 Billion Backlog Comes With a New Financing Model
Oracle has reported a sharp increase in its cloud backlog as demand for AI infrastructure continues to accelerate, but the scale of that growth is raising a different question for investors: who is funding the infrastructure required to deliver it?
Oracle’s remaining performance obligations reached $664 billion in the first quarter of fiscal 2027, up $209 billion year on year and $26 billion from the $638 billion reported at the end of the previous quarter.
The figure exceeded market expectations of roughly $640 billion and reflects more than $30 billion in new AI-related cloud contracts during the quarter.
However, Oracle says most of those new agreements were structured through customer prepayments, bring-your-own-hardware arrangements and similar models. According to the company, these structures mean the additional contracts will require little or no incremental capital from Oracle itself.
That is significant because Oracle’s ability to finance its rapidly expanding cloud infrastructure has become one of the central questions surrounding its AI strategy.
Oracle’s Cloud Business Accelerates
Oracle reported total revenue of $19.3 billion, representing 30% growth year on year and slightly ahead of analyst expectations.
Cloud revenue increased 62% to $11.6 billion, driven by particularly strong growth in infrastructure services.
| Business | Q1 FY27 Revenue | Growth |
|---|---|---|
| Total revenue | $19.3bn | 30% |
| Cloud revenue | $11.6bn | 62% |
| Cloud infrastructure | $7.4bn | 121% |
| Cloud applications | $4.2bn | 10% |
| Software | $5.5bn | -3% |
| Hardware | $0.8bn | 15% |
| Services | $1.4bn | 5% |
Non-GAAP earnings per share reached $1.92, also ahead of expectations.
Oracle Cloud Infrastructure was the standout performer, with revenue more than doubling to $7.4 billion.
Oracle also highlighted a notable change in its quarterly pattern. Revenue increased sequentially from the previous quarter, breaking the company’s historical tendency to report a softer first quarter.
Infrastructure delivery also accelerated. Oracle said it brought 850 megawatts of additional datacentre capacity online and deployed more than 300,000 GPUs since the end of the previous quarter.
GPU utilisation reached 97.9%, while capacity approaching renewal was reportedly resold at a 20% premium, despite much of the equipment being around four years old.
Enterprise Applications Continue to Grow
The infrastructure numbers dominate Oracle’s results, but the company’s applications business remains important for ERP customers.
Fusion Applications revenue grew 14%, while industry applications increased by more than 20%.
Oracle’s multicloud database business also recorded substantial growth, with revenue increasing 353% as customers increasingly run Oracle database technology across Azure, AWS and Google Cloud.
AI adoption inside Oracle’s applications is also expanding. The company said embedded AI usage reached approximately 150 million instances, a 42% sequential increase.
Meanwhile, around 10,000 customers have adopted NetSuite Next, following its North American rollout earlier in the year.
These figures suggest that Oracle’s AI strategy is extending beyond infrastructure and into the applications layer where its ERP customers operate.
Oracle Raises Its Full-Year Guidance
Oracle expects Q2 fiscal 2027 revenue growth of between 30% and 34%, with cloud revenue forecast to grow between 65% and 71%.
Non-GAAP earnings per share is expected to fall between $1.85 and $1.93.
The company has also raised its full-year revenue guidance to at least $90 billion, implying approximately 34% growth.
Capital expenditure guidance remains between $90 billion and $95 billion.
The next quarter will therefore provide several important tests for Oracle.
First, the company needs cloud infrastructure growth to continue accelerating. Achieving the lower end of its full-year guidance will require strong growth during the second half of the financial year.
Second, investors will be watching whether customer-funded arrangements such as prepayments and bring-your-own-hardware continue to account for a significant proportion of new contracts.
Third, Oracle will need to manage the pressure that rapid datacentre expansion places on margins.
The Cash Flow Question Remains
Despite the strong revenue and backlog numbers, Oracle’s cash flow position remains more complicated.
Capital expenditure reached $28.5 billion during the quarter, compared with $8.5 billion a year earlier.
Free cash flow was negative $5.4 billion, compared with negative $362 million in the same period last year.
Operating cash flow reached a record $23 billion, helping offset some of the infrastructure spending. However, customer prepayments contributed significantly to that figure.
Oracle also completed a $20 billion at-the-market equity sale during the quarter.
The company now carries approximately $125 billion in total debt, while interest expense increased 55% year on year to $1.4 billion.
Gross margins have also come under pressure as Oracle ramps its datacentre infrastructure, with management expecting further pressure as investment continues.
The financing model therefore remains an important part of the Oracle story. Strong customer demand is clear, but the company still needs to demonstrate how that demand translates into sustainable cash generation.
Customer Concentration Adds Another Risk
Oracle’s enormous backlog also comes with concentration risk.
Approximately half of the $664 billion backlog is reportedly associated with OpenAI.
That makes Oracle’s future revenue expectations partly dependent on the continued expansion and funding position of a single major customer.
There is some diversification taking place. Oracle says its non-OpenAI backlog has more than doubled over the past year.
Nevertheless, the concentration means ERP and cloud customers should distinguish between the headline backlog figure and the portion that represents diversified, recurring enterprise demand.
What This Means for ERP Teams
Oracle’s infrastructure economics now matter to ERP roadmaps. Fusion and NetSuite customers are increasingly dependent on the cloud infrastructure supporting those applications. Organisations negotiating multi-year Oracle commitments should understand how Oracle plans to allocate capacity across AI infrastructure customers and SaaS workloads, while ensuring service-level agreements provide adequate protection.
Multicloud is becoming a more credible Oracle architecture. The rapid growth of Oracle’s multicloud database business demonstrates that customers do not necessarily need to run every Oracle workload exclusively on OCI. Organisations reviewing their infrastructure strategy should compare OCI with Oracle database deployments on other hyperscalers using current pricing, performance and contractual assumptions.
The decline in traditional software reinforces Oracle’s cloud direction. Software revenue fell 3%, reinforcing the broader migration away from traditional on-premises licensing. For organisations running Oracle E-Business Suite or JD Edwards, however, moving to Fusion is not necessarily the only modernisation route. Companies should compare a full SaaS migration with approaches that retain the transactional core while adding modern database and AI capabilities.
Backlog size should not be confused with cash generation. Oracle’s $664 billion RPO figure demonstrates exceptional demand, but the company’s negative free cash flow and substantial capital expenditure show the cost of fulfilling that demand. ERP buyers considering long-term Oracle commitments should evaluate not only product roadmaps and commercial terms but also the infrastructure assumptions underpinning those commitments.
The next major milestones will provide more clarity. Oracle’s upcoming investor discussions and AI-focused announcements should provide further insight into how the company expects its enormous backlog to convert into revenue and when the current infrastructure investment cycle is expected to translate into stronger free cash flow.
The Bigger Picture
Oracle is entering a new phase in which AI demand is reshaping both its cloud infrastructure strategy and its financing model.
The $664 billion backlog shows that customers are willing to commit significant amounts of future spending to Oracle’s cloud and AI infrastructure. The more difficult question is how efficiently Oracle can turn those commitments into revenue and cash while continuing to fund one of the industry’s largest infrastructure build-outs.
For ERP customers, the implications extend beyond Oracle’s quarterly financial performance.
Fusion, NetSuite and Oracle’s database platforms increasingly sit within the same cloud and AI investment cycle. Understanding how Oracle funds that cycle, and how much of the infrastructure burden is ultimately shared with customers and partners, will become an increasingly important part of long-term ERP planning.