Release Date: August 05, 2026
For the complete transcript of the earnings call, please refer to the full earnings call transcript.
Positive Points
- Figma Inc FIG delivered a strong Q2 with revenue of $370 million, up 48% year-over-year, marking the third consecutive quarter of accelerated growth.
- AI credit monetization is gaining traction, with over 80% of paid customers with more than $10,000 in ARR consuming AI credits weekly, and net dollar retention rate remains strong at 136%.
- New product launches, including Figma Agent, Motion, Shaders, and Weave, are expanding the platform's capabilities and attracting new user segments, such as brand designers and creative agencies.
- The company is seeing strong adoption of its Figma Agent, with over 50% of paid customers with more than $10,000 in ARR using it weekly, and it is driving new user engagement and credit consumption.
- Figma Inc (FIG) is investing in first-party models and model-agnostic architecture to optimize inference costs, which could improve gross margins over time while maintaining quality and latency.
- International revenue grew 50% year-over-year, supported by expansion into new markets like Brazil, and the company continues to add large enterprise customers, with customers over $100,000 in ARR growing 46% year-over-year.
Negative Points
- The company's Q3 revenue guidance of $373-375 million implies a sequential growth slowdown, which may concern investors given the strong Q2 performance.
- Gross margin is expected to fluctuate in the near term due to investments in beta products that do not yet generate revenue, potentially pressuring profitability.
- Figma Inc (FIG) faces increasing competition from AI-powered design and coding tools, such as Claude Design and Vercel, which could impact market share.
- The company is not yet monetizing several new products (e.g., Figma Agent, Code Layers, Motion) as they are in beta, meaning the full revenue potential is not yet realized.
- Operating margin guidance for the full year is maintained at 9%, indicating that the company is prioritizing investment over near-term profitability, which may limit margin expansion.
- The transition to AI credit-based pricing is still evolving, and customer feedback indicates a need for more control and choice, which could lead to pricing model changes that may affect revenue predictability.
Q & A Highlights
Q: Given the competitive landscape with tools like Claude Design, Vercel, and vibe coding platforms, what are you seeing on top-of-funnel and upsell dynamics, and why is Figma winning in a more crowded field?
A: Dylan Field (CEO) explained that as teams explore AI integration, they consistently double down on Figma. He emphasized that building software at scale is different from generating code or simple assets. Figma's offering is optimized for professional designers with a performant, professional-grade canvas where humans and agents work side by side, deep product context, and full creative control through AI and direct manipulation. Praveer Melwani (CFO) added that key indicators include two-thirds of 10K+ ARR customers adding full seats at renewal, a healthy 136% NDR, and strong gross dollar retention, all supported by the AI credit model overlay.
Q: Can you provide more color on the sequential guidance for Q3, which appears more conservative, and how should we think about gross margin cadence over the medium term given new product cohorts?
A: Praveer Melwani (CFO) stated that guidance philosophy remains consistent—providing a snapshot based on recent trends with high confidence. Products in beta or early access (Figma Agent, Code Layers, Make on local code) are not drawing down paid credits yet, so they are not fully incorporated into guidance. The company is investing in these surfaces to improve latency, quality, and cost before transitioning to GA and monetization. This investment cycle creates near-term gross margin headwinds, but the expectation is that monetization will drive gross profit dollar acceleration over the medium to long term.
Q: How is Figma's MCP usage trending, and how are hiring needs evolving year-to-date versus initial expectations?
A: Dylan Field (CEO) corrected that MCP write-to-Figma usage grew 75% quarter-over-quarter, not year-over-year. He noted that MCP is being used both to pull work from Figma and push work into Figma, and Figma aims to add value regardless of where the workflow starts. Praveer Melwani (CFO) added that the company is hiring fewer people than originally planned because AI tools have augmented the existing team and modernized processes, creating operational leverage.
Q: Are the newer SKUs like Figma Make and other Config-launched products driving net new customer logos, or primarily expanding usage within existing customers?
A: Praveer Melwani (CFO) indicated that new products primarily grow the number of paid seats within existing larger customers, evidenced by NDR. However, there has also been acceleration in acquiring new customers at the lower end of the business. Specifically, the Figma Agent has broadened who can hold a paid seat—over 20% of weekly credit-consuming users on paid plans are exclusively consuming credits via the agent, lowering the barrier to entry.
Q: What are the unit economics of AI credit revenue after the first full quarter of monetization, and what levers are lowering inference costs?
A: Praveer Melwani (CFO) explained that Figma uses a model-agnostic approach to serve inference, routing across providers based on task complexity. The company is investing in first-party models trained on Figma's design corpus for specific tasks, which can deliver comparable quality at lower cost and latency. Dylan Field (CEO) added that efficiency improvements will not come at the expense of quality or latency, as those are also drivers of consumption revenue.
Q: How much of the $40 million full-year raise is driven by incremental credit usage versus other factors, and are you taking credit for beta products in the outlook?
A: Praveer Melwani (CFO) was explicit that the full-year revenue outlook does not include credit for products in early access or beta. The raise reflects strength in AI credit consumption for currently monetized products, positive early signals from new launches, and strong conversion. The transition of beta products to GA represents upside that will be incorporated once monetization is observed.
Q: Which use cases will first-party models prioritize, and how much of the Figma Agent's early success is attributable to proprietary models?
A: Dylan Field (CEO) stated that first-party models are currently focused on improving work with design and Figma itself. Over time, they will expand, but Figma will continue partnering with Frontier Labs, especially for tasks involving full implementation of designs into code. The goal is to find the right balance between quality, latency, and cost, which will accelerate overall AI usage.
Q: What assumptions are baked into the Q3 sequential guidance, and how are you incorporating the volatility of AI usage into your philosophy?
A: Praveer Melwani (CFO) noted that Q3 and Q4 face tougher comps due to the anniversary of pricing changes from last year. The guidance excludes beta products not yet monetized. Key health indicators include 80% of 10K+ customers consuming credits weekly and two-thirds adding full seats at renewal. Most AI consumption revenue is contracted via coterminous add-on subscriptions, providing visibility, though a shift to pay-as-you-go could introduce variability.
Q: What feedback are you receiving from customers on AI pricing, and are they seeking more certainty or becoming comfortable with consumption-based pricing?
A: Praveer Melwani (CFO) said customers want control and choice, and Figma is rolling out user-level limits and admin controls to provide that. Early ROI indicators are positive—customers using Code Connect and MCP are seeing more efficient token consumption when translating to code editors. Dylan Field (CEO) added that the market is still learning how AI credits should be purchased, and Figma will continue to iterate on its pricing model based on feedback.
For the complete transcript of the earnings call, please refer to the full earnings call transcript.
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