ClaimsSatya Nadella

“And it continues to be the fastest growing analytics platform on the market, with revenue up 60% year-over-year.”

Satya Nadella, Microsoft CEO, on earnings call 28 January 2026 Microsoft FY2026 Q2 Earnings Conference Call (Microsoft Investor Relations) archived copy

Factual Their own work or organisation

Fabric is the fastest growing analytics platform on the market, with revenue up 60% year-over-year.

Not researched Checkable, but outside the sample that was researched.

Factual: Statements about the present or the past, checked against the record: did they hold up?

Said for an organisation they lead or work for; it counts on both records.

Cite this claim

Satya Nadella, “Fabric is the fastest growing analytics platform on the market, with revenue up 60% year-over-year.” (said 28 January 2026). Verdict: not researched. Reliability API, claim c_511593a8faf4, method 0.1.0+28da144b, dataset release v1.1.2. https://epistacklabs.com/claims/c_511593a8faf4

This claim is in dataset release v1.1.2, with the same verdict.

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More factual claims by Satya Nadella

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  2. Resolved true Factual 28 January 2026
    “Already, over 1,500 customers have used both Anthropic and OpenAI models on Foundry.”

    Over 1,500 customers have used both Anthropic and OpenAI models on Microsoft Foundry.

  3. Resolved true Factual 28 January 2026
    “Over 80% of the Fortune 500 have active agents built using these low-code/no-code tools.”

    Over 80% of the Fortune 500 have active agents built using Microsoft's low-code/no-code tools (Copilot Studio and Agent Builder).

  4. Resolved true Factual 28 January 2026
    “Copilot Pro+ subs for individual devs increased 77% quarter-over-quarter.”

    GitHub Copilot Pro+ subscriptions for individual developers increased 77% quarter-over-quarter.

  5. Resolved true Factual July 2025
    “Azure surpassed $75 billion in annual revenue, up 34%, driven by growth across all workloads.”

    Azure annual revenue in fiscal 2025 surpassed $75 billion, up 34%, with growth across all workloads.

All of them

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