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FY2026 Q1
Improving
Oracle Corporation earnings call
Buzzberg read
RPO surges to $455B, up 359% YoY
Oracle reported a blowout Q1 FY2026 with RPO surging to $455B (+359% YoY) driven by massive AI cloud contracts from the likes of OpenAI, xAI, Meta, NVIDIA, and AMD. Management dramatically raised cloud infrastructure revenue targets to $18B in FY26 and $144B by FY30, and guided total revenue growth of 16% for FY26. The call emphasized Oracle's unique position in AI inferencing via its AI Database and multi-cloud partnerships, alongside rapid capacity deployment and margin expansion through internal AI adoption. RPO reached $455B, up $317B from Q4, driven by multi-billion-dollar AI contracts.
Buzzberg read RPO surges to $455B, up 359% YoY Oracle reported a blowout Q1 FY2026 with RPO surging to $455B (+359% YoY) driven by massive AI cloud contracts from the likes of OpenAI, xAI, Meta, NVIDIA, and AMD. Management dramatically raised cloud infrastructure revenue targets to $18B in FY26 and $144B by FY30, and guided total revenue growth of 16% for FY26. The call emphasized Oracle's unique position in AI inferencing via its AI Database and multi-cloud partnerships, alongside rapid capacity deployment and margin expansion through internal AI adoption. RPO reached $455B, up $317B from Q4, driven by multi-billion-dollar AI contracts. Read full analysisCollapse analysis
Oracle reported a blowout Q1 FY2026 with RPO surging to $455B (+359% YoY) driven by massive AI cloud contracts from the likes of OpenAI, xAI, Meta, NVIDIA, and AMD. Management dramatically raised cloud infrastructure revenue targets to $18B in FY26 and $144B by FY30, and guided total revenue growth of 16% for FY26. The call emphasized Oracle's unique position in AI inferencing via its AI Database and multi-cloud partnerships, alongside rapid capacity deployment and margin expansion through internal AI adoption. RPO reached $455B, up $317B from Q4, driven by multi-billion-dollar AI contracts.
- Cloud infrastructure revenue grew 54% to $3.3B; OCI consumption up 57%.
- Total cloud revenue $7.2B, up 27%; multi-cloud database revenue up 1,529%.
- CapEx guidance raised to ~$35B for FY26, with fast equipment-to-revenue conversion (one week acceptance).
CLOUD Revenue$7.2BReported
CLOUD_INFRASTRUCTURE Revenue$3.3BReported
Revenue$14.926BReported
EPS$1.47Reported
6 grounded callouts
What matters now
The highest-signal changes from the call.
Guidance
OCI revenue projected to grow 77% in FY26
AI
AI inferencing market expected to be much larger than training
Show 3 more callouts
AI
New AI database links enterprise data to top LLMs
Capex
CapEx raised to ~$35B for FY26
AI
Multi-cloud database revenue grew 1,529% in Q1
Reported period
Actuals
| Metric | Reported | Change |
|---|---|---|
| CLOUD Revenue | $7.2B | Reported |
| CLOUD_INFRASTRUCTURE Revenue | $3.3B | Reported |
| Revenue | $14.926B | Reported |
| EPS | $1.47 | Reported |
| Gross margin | 67.28% | Reported |
| Operating margin | 28.65% | Reported |
Forward-looking
Forward guidance
| Metric | Period | Range | Midpoint | Status |
|---|---|---|---|---|
| Capex | FY2026 | $35B | $35B | Raised |
| EPS | FY2027 Q2 | $1.58–$1.62 | $1.60 | Guided |
| EPS | FY2027 Q2 | $1.61–$1.65 | $1.63 | Guided |
| RevenueCLOUD_INFRASTRUCTURE | FY2028 | $73B | $73B | Guided |
| RevenueCLOUD_INFRASTRUCTURE | FY2029 | $114B | $114B | Guided |
| RevenueCLOUD_INFRASTRUCTURE | FY2030 | $144B | $144B | Guided |
| RevenueTOTAL_CLOUD | FY2027 Q2 | 32%–36% | 34% | Guided |
| Revenue | FY2026 | 16% | 16% | Maintained |
| Revenue | FY2027 Q2 | 12%–14% | 13% | Guided |
| RevenueCLOUD_INFRASTRUCTURE | FY2026 | $18B | $18B | Raised |
| RevenueCLOUD_INFRASTRUCTURE | FY2027 | $32B | $32B | Guided |
AI, capex & demand read
Management read
Bullish
Management expressed extreme confidence in the business, citing record RPO growth, multi-billion dollar contracts, and a massive market opportunity in AI inferencing.
Management AI read
Management emphasized AI as the primary growth driver, with demand outstripping supply. They highlighted a new AI database that vectorizes enterprise data and connects to major LLMs, positioning Oracle for the larger AI inferencing market. Management expects RPO to exceed $500 billion and provided a five-year revenue forecast for OCI.
Investment and capacity
Oracle raised fiscal 2026 CapEx guidance to around $35 billion, but noted that the majority is for revenue-generating equipment, not land or buildings, and that it is deployed quickly to generate revenue. They also highlighted advantages in financing terms and fast acceptance times, making the investment 'asset pretty light'.
all 10 named companies below
Companiesreturns since call
Customers
Customers
Safra Katz
xAI is using Oracle Cloud for AI workloads, contributing to massive RPO growth.
Evidence
“we have signed significant cloud contracts with the who's who of AI, including OpenAI, XAI, Meta, NVIDIA, AMD, and many others.”
Partners
Partners
Safra Katz
Oracle claims its full cloud can be delivered in a three-rack system costing $6M, while competitors' comparable solutions cost >100x more. — This cost advantage for private cloud deployments could pressure hyperscalers' dedicated offerings and shift enterprise spending toward Oracle.
Evidence
“34 multi-cloud data centers now live inside of Azure GCP and AWS, and we will deliver another 37 data centers for a total of 71.”
Competitors
Competitors
Larry Ellison
Oracle positions itself as a larger competitor to Workday in enterprise cloud applications, leveraging suite integration.
Evidence
“we're much bigger than Workday or ServiceNow. And we're solving a larger problem portion of the problem.”
External signals
Supply-chain alpha · 4returns since call
Oracle can turn over a data hall to a customer and start revenue in one week, down from months, indicating rapid deployment efficiency.
Evidence
“We just turned over a giant data hall to one of our customers, and the acceptance time could have been as long as a couple of months. It was one week.”
Oracle claims its full cloud can be delivered in a three-rack system costing $6M, while competitors' comparable solutions cost >100x more.
Evidence
“We have gotten the entire Oracle Cloud, the whole thing, every feature, every function of the Oracle Cloud down to something we can put into a handful of racks, three racks, we call it butterfly, that cost $6 million.”
Oracle's network performance for AI training gives a cost advantage: if twice as fast, half the cost on a per-hour basis.
Evidence
“Our networks move data very, very fast. ... if we're twice as fast, we're half the cost.”
Oracle expects operating income to grow mid-teens this year and higher in FY27, driven by internal AI adoption and margin expansion.
Evidence
“We have also been on an accelerated journey to adopt AI internally to run more efficiently. I expect our operating income will grow mid-teens this year and higher still in FY27.”
Methodology & coverage
Management-only analysis. All 10 validated company mentions are shown. Reported actuals and forward guidance are kept separate. Public evidence is limited to eight short attributed quotes. AI-generated analysis can be incomplete or wrong; verify important claims against the original source.