Oracle’s organic revenue and non-GAAP EPS both grew 20%+ for the first time since 2009. But the real signal sits below the headline beat.

Oracle now has two engines accelerating at once:

1️⃣ High-margin multicloud database business powered by hyperscaler partnerships

Revenue grew 531% YoY. CEO Clay McGork put the reason plainly:

“We created our multicloud partnerships with first Microsoft, then Google, and finally Amazon.... Those partnerships unlock an enormous backlog of demand.”

That demand is now being activated at scale with all 3 clouds.

• 33 regions live with Microsoft

• 14 with Google

• AWS scaling from 2 live regions at the start of Q3 to 8 by quarter-end, with 22 expected by the end of Q4

The economics make the story stronger too. Oracle said the multicloud database business runs at 60-80% margins, vs 32% gross margin on AI capacity delivered in Q3.

2️⃣ AI infrastructure business creating enormous backlog and pulling the rest of the stack with it

AI infra revenue grew 243% YoY. Oracle tied the $553B RPO directly to that demand: “Demand for AI infrastructure, both GPU and CPU, continues to exceed supply.”

The operating model matters here.

Oracle secured 10+ GW of data center capacity over 3 years, with 90%+ funded through partners. It also signed $29B in contracts using bring-your-own-hardware and upfront payment models — scaling without shouldering the capital burden alone.

But infrastructure is the wedge, not the endpoint.

Mike Sicilia said these deals now drive “ecosystem automation” conversations across OCI, database, applications, and industry suites. AI opens the door — then the full stack walks through it.

3️⃣ The next layer: agents

Oracle already has 1,000+ AI agents embedded across its applications. Larry Ellison made clear they will not build every vertical agent: “We do not think we can build all the application agents for a banking system or a health care system. A lot of our partners are going to do that.”

This also explains Oracle’s hard push back on the SaaS apocalypse thesis.

Mike Cecilia: “I have not yet met a customer who tells me they are ready to give away their core banking system, their electronic health records... and some cobbling together of niche AI features are going to replace all of that overnight.”

Oracle’s view: AI makes complex, mission-critical SaaS more valuable — not less.

Takeaways for alliance leaders:

• AI infra may win the headline, but data and application layers follow and capture the better economics

• Agentic AI will create new partner surface area closest to mission-critical data and workflows

Is Oracle becoming the most partnership-focused growth story in enterprise tech?