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10-Q2026-04-29· grok-4-1-fast-non-reasoning

META · Meta Platforms, Inc. Depositary Shares representing a 1/20th Interest in a Share of Series A Mandatory Convertible Preferred Stock

0001628280-26-028526

SEC filing

Summary

Q1 delivered exceptional revenue growth of 33% driven by advertising demand and ad performance improvements, yielding record profitability with net income up 61%, even as infrastructure investments intensified for AI initiatives.

Key takeaways

Full analysis

Meta Platforms reported robust Q1 2026 results, with revenue climbing 33.1% to $56.3 billion compared to $42.3 billion in the prior year. This growth stemmed from heightened advertising demand, primarily fueled by ongoing improvements in ad targeting and measurement tools alongside a favorable foreign currency exchange impact, as noted in management discussion. These enhancements bolster ad performance, enabling advertisers to achieve better results and driving sustained demand.

Gross profit expanded 32.7% to $46.1 billion from $34.7 billion, maintaining a strong gross margin of 81.9%. This resilience occurred as revenue growth exceeded increases in cost of revenue, which encompasses expenses for product delivery and distribution. Operating income grew 30.3% to $22.9 billion versus $17.6 billion, with an operating margin of 40.6%. The profitability reflects efficient scaling of the core advertising business, though tempered by higher operating expenses, particularly in R&D from elevated employee compensation including share-based awards and infrastructure for AI initiatives.

Net income more than doubled, up 60.9% to $26.8 billion from $16.6 billion, delivering diluted EPS of $10.44, a 62.4% increase from $6.43. This exceptional bottom-line performance underscores the leverage from revenue expansion and cost discipline in a high-margin model.

Cash generation remained strong, with net cash from operating activities rising to $32.2 billion from $24.0 billion, driven by increased cash collections from customers tied to revenue growth, partially offset by higher operational spending. Capital expenditures jumped to $19.0 billion from $12.9 billion, reflecting significant infrastructure investments in AI, including servers, data centers, network assets, and third-party cloud capacity. This resulted in free cash flow of $13.2 billion, providing ample liquidity to support these strategic outlays while maintaining a conservative cash management approach with deposits at large institutions and diversified high-rated securities.