Figma revenue jumps 43% to $391M as AI credits start to pay
Figma reported Q3 revenue of $391.4 million, up 43%, with more than 80% of its larger customers consuming AI credits and an in-house design model taking on more work.

Figma reported third-quarter revenue of $391.4 million, up 43% from a year earlier, and said more than 80% of its larger customers now consume AI credits. Reuters reported that the company is counting on those credits and an in-house model to lift margins. The figures below come from Figma’s results release of November 4, 2026.
Revenue beats guidance, margin slips
Revenue for the quarter ended September 30 came in $16.4 million above the top of the company’s earlier guidance. GAAP gross profit rose 65% to $314.4 million, a GAAP gross margin of 80%. Non-GAAP gross profit was $321.1 million, up 36%, for a margin of 82%.

The company still posted a GAAP operating loss of $119.2 million and a GAAP net loss of $81.3 million (-$0.15 per share). On a non-GAAP basis it earned $47.0 million in operating income, a 12% margin, and $53.7 million in net income. Free cash flow was $41.5 million, and Figma holds $1.7 billion in cash, cash equivalents and marketable securities.
Net dollar retention was 131%. Paid customers above $10,000 in annual recurring revenue numbered 16,566, and those above $100,000 numbered 1,717.

Credits, agents and a home-grown design model
The AI numbers explain the margin story. As of October 31, 65% of customers above $10,000 in annual recurring revenue used the Figma agent weekly, and over 80% consumed AI credits. Weekly active users consuming credits in that group rose almost 50% between July 1 and October 31.
Figma also said its own post-trained design model now handles more than double its previous share of work over the same period, and that it uses open-weight models in production. The release does not say how large that share is, which models are involved, or how much the shift saves in inference costs, so the margin benefit Reuters describes is not quantified in the filing.

Elsewhere, Figma said usage of its MCP server grew threefold from the previous quarter and write-back usage fourfold, with integrations from 20 partners launched in October. Code Layers entered open beta on October 14.
Guidance raised, with a slower growth rate ahead
For the fourth quarter Figma expects revenue of $402.0 million to $404.0 million, about 33% growth at the midpoint. Full-year revenue guidance is $1.497 billion to $1.499 billion, roughly 42% growth and $33.0 million above the prior outlook. Non-GAAP operating income is guided at $158.0 million to $163.0 million, an 11% margin at the midpoint.
CEO Dylan Field framed the quarter around a shift in value: “As code becomes a commodity, value is moving up the stack to design.”
Track record: AI costs have weighed on Figma before
Margins are the open question because AI usage costs money before it earns it. After the second quarter, The Next Web reported that the stock fell 16% despite 48% growth, which it attributed to AI costs. Second-quarter GAAP gross margin was 84% and non-GAAP 85%, according to Figma’s earlier release, so the third quarter is four points lower on a GAAP basis and three lower non-GAAP. Revenue growth also slowed from 48% to 43% between the two quarters.
On the second-quarter call, management said gross margin would fluctuate in the near term because of investment in beta products that do not yet generate revenue, according to an earnings call summary. Those credits and in-house models are the levers Figma points to for bringing inference costs down.
The pressure is industry-wide. Our recent coverage of Fal’s $16 billion valuation shows how strongly demand for inference is growing, and every software maker that sells AI features is paying for that compute.
The release does not establish how much of Figma’s revenue comes from AI credits, what a credit costs, or what share of cost of revenue is tied to AI. Those details, and the company’s own claims about its model, are not independently verified and will need confirming in the quarterly filing and on the earnings call.
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Alex CarterAI News & Big Tech CorrespondentAlex Carter writes for Aiholics, keeping readers updated on the fast-paced world of AI and Big Tech.



