Microsoft hits 10 quarters of record- breaking revenue in a row

Microsoft reported quarterly revenue of $92.3 billion on Wednesday, a 19% increase over the year-ago quarter and its tenth straight quarter of record-breaking results. Profitability kept pace: net income reached $36.6 billion, up 32% on a GAAP basis. Whatever the longer-term trajectory of AI may hold, the near-term numbers remain overwhelmingly favorable for the company.

The strength came largely from Microsoft Cloud, which delivered $63.9 billion in revenue, a 30% year-over-year increase. Microsoft also reorganized its business reporting into two segments: Agents and Infra, and Devices and Consumer. The latter segment was the weak spot — revenue of $15.5 billion was down 3%, with Windows OEM and devices revenue falling 22% from the year-ago quarter.

Not all of the cloud numbers trace to AI. Microsoft 365 accounted for nearly $28 billion of revenue, and Azure brought in the most at $33.2 billion, though the company noted that enterprises run plenty of traditional software and SaaS workloads on Azure as well. Still, AI contributed meaningfully: Microsoft reported $10 billion in revenue from OpenAI, which continues to run much of its services on Microsoft's cloud despite branching out to AWS and Oracle. Anthropic also runs on Azure.

Behind the current quarter sits a large pipeline of committed future revenue. Microsoft said its commercial remaining performance obligation increased 73% to $677 billion, representing future revenue locked in under existing contracts, including those with AI labs. Delivering on those commitments requires heavy investment: capital expenditures topped $45.2 billion, another all-time quarterly record, as Microsoft builds out capacity alongside other major cloud providers.

The picture that emerges is a company converting AI-related demand into both present revenue and long contracted backlog, while absorbing the enormous infrastructure costs that conversion demands. The open questions are what portion of that $677 billion backlog is AI-driven versus traditional enterprise cloud, how much of Azure's $33.2 billion stems from AI workloads specifically, and whether the pace of capital spending can be sustained long enough to earn returns on the capacity being built — especially as the Devices and Consumer business continues to contract.