TL;DR
Figma reported revenue of $333.4 million in the first quarter of 2026, beating analysts’ expectations of $316 million, up 46% year over year. The design software company raised full-year guidance by $55 million to $1.422 billion to $1.428 billion, and issued Q2 guidance of $348 million to $350 million, about $20 million above consensus. Shares rose more than 8% after hours. Key data point: After Figma started implementing AI credit limits on March 18, more than 75% of top users who exceeded their quota continued to pay for credits, although about 5% of those users left the platform entirely. Net dollar retention reached a two-year high of 139%, and paid customers grew 54% to nearly 690,000. The stock remains down more than 80% from its post-IPO peak of $142.92.
Ten months in, Figma is an example of how quickly Wall Street can fall out of love. The company went public on July 31, 2025 at $33 a share, topped $140 in its debut, and spent most of 2026 in freefall, beaten by Anthropic’s, Google’s free Stitch design tool. Presentation by Claude Designclassroom-action research and the general belief that AI will commercialize the design tools that Figman sells. By May, the stock was trading near its 52-week low of $16.60, more than 80% below its post-IPO peak.
Then first quarter numbers fell. Revenue rose 46% year-over-year to $333.4 million, accelerating from 40% growth in the previous quarter. Earnings per share came in at 10 cents on a non-GAAP basis, versus consensus expectations of six cents. Figma increased full-year revenue by $55 million to $1.422 billion to $1.428 billion and guided for the second quarter of $348 million to $350 million, about $20 million more than the $329.7 million analysts were expecting. Shares rose more than 8% in after-hours trading.
AI credit experience
The most important number was not in the title. On March 18, Figma began applying credit limits to AI features on its platform, the first real test of whether customers would pay. Design tools powered by artificial intelligence or simply stop using it. Chief Financial Officer Praveer Melwani said that among Institutional and Enterprise users who previously exceeded the free allocation period, more than 75% continued to avail AI loans in April. About 95% of those users remained active on the platform as of April 30.
The going 5% is a less comfortable number. Bloomberg’s original report noted that about 5% of top users who exceeded the threshold were no longer active, which is modest by software standards, but not insignificant for a company whose stock is valued on the assumption that artificial intelligence will expand. The question is whether the 75% who continue to pay represent sustained demand or early adopters whose enthusiasm may not generalize among Figman’s roughly 690,000 paying customers.
The numbers below the numbers
Figma’s key indicators show that expansion is broad-based rather than concentrated among a few large accounts. Net dollar retention, which shows how much existing customers spend more over time, was up three percentage points from the previous quarter and the highest in more than two years, to 139%. Paid customers with annual recurring revenue of more than $100,000 increased 48% year-over-year to 1,525. Figma’s new Pro team, the entry-level paid tier, saw conversions increase by more than 150% year-over-year, which the company attributes to its adoption of AI features.
Non-GAAP operating income was $52.1 million, giving the company a 16% non-GAAP operating margin. Free cash flow was $88.6 million. The GAAP picture is less flattering: a net loss of $142.4 million, driven primarily by $169 million in stock-based compensation expense — the accounting consequence of going public in the midst of a talent war.
An existential question
The bull case for Figma is based on a phrase its CEO Dylan Field used in his earnings release: “When code is a commodity, design is a competitive advantage.” The argument goes like this AI coding tools make it so easy to build functional software, the art of designing what that software looks and behaves like becomes low-input, and Figma is the platform where that art happens.
Interestingly, the same AI revolution that is making code cheaper is also making design cheaper. Google Stitch, which uses Gemini 2.5 Pro to create high-fidelity UI designs from text prompts, remains completely free and caused Figma’s stock to drop 8.8% in one day when it was upgraded in March. Anthropic’s Claude Design, introduced in partnership with Canva, led to another 7% reduction. The competitive threat is that these tools will replace Figma tomorrow, but they set a zero price anchor for the capabilities that Figma is trying to charge for.
Figman’s answer was to address parts of its platform that free tools can’t easily replicate: collaborative workflows, enterprise-grade design systems, and the network effects of having nearly 78% of the Forbes 2000 as customers. The company’s Model Context Protocol, which allows AI coding agents to read and write Figma files directly, saw weekly active users grow fivefold in the quarter. Paid customers with more than $100,000 in annual recurring revenue who used an MCP server grew their space nearly 70% faster than those who didn’t. The strategy is to make Figma the canvas on which AI agents design, rather than the tool they replace.
Adobe shadow
It should be remembered that Figma was acquired by Adobe in 2022 for $20 billion, a deal that fell apart in December 2023 after EU and UK regulators raised antitrust concerns. Adobe paid $1 billion in termination fees. Figma then went public with a valuation that exceeded $60 billion on its first day of trading. Today, the company’s market capitalization is about $10.6 billion.
This trajectory—from a $20 billion acquisition target to a $60 billion public debut to $10 billion in less than a year—captures a year’s worth of volatility. A marketplace with AI assessments it can only swing wildly on the narrative. Figma’s first-quarter results don’t settle the debate over whether design software is being disrupted or improved by AI. What they have done is demonstrate that, at least so far, the disruption thesis is superior to the data. Income is accelerating. Customers pay for AI features. The platform expands instead of shrinking.
Whether this is enough to justify a recovery depends on whether investors believe the 75% conversion rate on AI loans is a benchmark or ceiling. For a stock priced for obsolescence, the answer is important rather than a question.






