Figma (FIG) Q3 2026 Earnings Call Transcript

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DATE

Wednesday, Nov. 4, 2026

CALL PARTICIPANTS

• Vice President of Investor Relations – Kate DeLeo
• Co-Founder and Chief Executive Officer – Dylan Field
• Chief Financial Officer – Praveer Melwani

TAKEAWAYS

• Revenue — $391.4 million, representing 43% growth year over year and exceeding the high end of previous guidance by $16.4 million.
• Net Dollar Retention Rate — 131%, marking the fifth consecutive quarter the company maintained a rate above 130% due to seat expansion and AI monetization.
• Non-GAAP Gross Margin — 82%, a decline from 86% in the prior year reflecting investments in AI inference costs ahead of the general availability launch of the Figma agent.
• Non-GAAP Operating Income — $47.0 million, yielding a 12% margin driven by revenue outperformance and internal AI efficiencies.
• Free Cash Flow — $41.5 million, representing a margin of 11% for the third quarter.
• $10,000+ ARR Customers — 16,566 total, an increase of more than 3,650 accounts compared to the same period last year.
• $100,000+ ARR Customers — 1,717 total, representing an increase of more than 450 accounts year over year.
• Large Customer ARR Contribution — reached nearly 70% of total annual recurring revenue, up from 64% in the first quarter of fiscal 2025.
• Weekly AI Credit Consumption — increased 2.5-fold between the transition of the Figma agent to general availability and Oct. 31.
• AI Credit Utilization — rose by an average of nearly 40% among customers who purchased add-ons following the credit repricing in August.
• MCP Server Weekly Active Users — approximately 1 million, making it the fastest-growing product during the third quarter.
• Total MCP Usage — grew threefold quarter over quarter, with write-back usage increasing fourfold in the same period.
• AI Credit Source — showed the MCP server is now driving 5% of total credit consumption on the platform.
• Post-Train Design Model — doubled its share of work through Oct. 31, with the first-party model matching or beating the previous production agent 62% of the time in head-to-head testing.
• Agent Adoption — 65% of paid customers with more than $10,000 in ARR were using the Figma agent weekly as of Oct. 31.
• Full-Year Revenue Guidance — raised to a range of $1.497 billion to $1.499 billion, representing 42% growth year over year.
• Full-Year Operating Income Guidance — increased to $158 million to $163 million, reflecting an 11% non-GAAP operating margin.
• Fourth Quarter Revenue Guidance — $402 million to $404 million, representing 33% growth at the midpoint.
• Cash and Marketable Securities — $1.7 billion as of Sept. 30, 2026.
• Non-GAAP Gross Profit — $321.1 million, representing 36% growth year over year.

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RISKS

• Melwani stated, “We have intentionally made decisions that may act as near-term financial headwinds where we believe they will drive long-term benefits,” in reference to absorbing AI inference costs and repricing credits to encourage customer adoption.

SUMMARY

Figma, Inc. (FIG -11.70%) reported a shift in the product development landscape where technical implementation is becoming commoditized, moving strategic value up the stack to design. Management stated the company is building a full-stack canvas for visual-first development, integrating AI agents and code layers to unify design and engineering workflows. Financial results for the third quarter exceeded guidance across all major metrics, driven by high net dollar retention and the rapid adoption of AI-powered tools. While the company is absorbing near-term costs for AI infrastructure, management raised its full-year outlook for both revenue and operating income, citing deepening commitments from enterprise customers and the rising utilization of AI credits across the platform.

• Management reported that the Model Context Protocol (MCP) server is establishing the platform as a center of gravity for the development ecosystem, with approximately half of new professional teams adopting the server during the quarter.
• CEO Field noted that “design is the new code” as technical barriers lower, making human judgment and design quality the primary differentiators for successful software products.
• Product teams at Merkle reported 30% faster iteration cycles using Code Layers, while Cox Automotive used the tool to reduce the time required for hands-on keyboard variations of a new CRM by 90%.
• The company is prioritizing first-party design models to optimize quality and cost, resulting in a 33% increase in user ratings and a 60% reduction in users undoing agent-generated work.
• CFO Melwani indicated that large enterprise customers are increasingly utilizing “drawdown” agreements, which represented 80% of eligible AI add-on purchases following the August pricing update.
• Security is becoming a primary focus in enterprise sales conversations, with the company investing in agentic security to meet the requirements of large-scale vendors.
• Figma Weave and Figma Motion are expanding the platform’s reach into new personas, such as marketing teams at Harvey who produced 36 films in 69 minutes using AI-connected workflows.

INDUSTRY GLOSSARY

• MCP (Model Context Protocol): An open standard that enables AI models to connect to data sources and tools directly within a workflow.
• Code Layers: A feature that brings functional code to the design canvas, allowing teams to build and edit code-backed prototypes that can be pushed to production.
• Figma Agent: An AI-powered assistant designed to automate design documentation, generate components, and iterate on visual prototypes.
• Drawdown Agreement: A flexible enterprise purchasing arrangement where customers commit to a total credit spend that is consumed as needed over the contract term.
• Dev Mode: A dedicated space within Figma for developers to inspect designs and translate them into code without altering the original design files.
• Write-back: The capability of an AI tool to not only read context from a canvas but also directly create or modify elements within the design file.
• Canvas: The collaborative, visual workspace where teams design, prototype, and build digital products.
• Post-training: The process of further refining a pre-trained AI model using specialized data sets and human feedback to improve performance in specific domains like design.

Full Conference Call Transcript

Operator: Hello, everyone. Thank you for joining us, and welcome to the Figma Third Quarter 2026 Earnings Call. [Operator Instructions] I will now hand the conference over to Kate DeLeo, Vice President of Investor Relations. Kate, please go ahead.

Kate DeLeo: Good afternoon, and thank you for joining us on today’s conference call to discuss Figma’s results for the third quarter of 2026. On the call, we have Dy

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