Abstract

Figma Inc. will report fiscal results on November 4, 2026 after market close (Post-Mkt), with investor attention centered on revenue acceleration from AI monetization and the path of profitability under elevated compute costs.

Market Forecast

Consensus for the to-be-reported quarter calls for revenue of 375.83 million US dollars, up 41.71% year over year, EBIT of 23.52 million US dollars, up 35.95% year over year, and adjusted EPS of 0.06 US dollars, up 18.75% year over year; gross margin and net margin guidance have not been disclosed in the company’s forecast updates. The company’s core subscription model remains the revenue engine, while AI usage-based add-ons are expected to shape upsell activity and billings seasonality in the back half of the year. The most promising growth vector is embedded AI functionality delivered as credits and add-ons within subscriptions, though the company does not break out separate segment revenue; last quarter’s total revenue was 370.08 million US dollars, up 48.25% year over year.

Last Quarter Review

Figma Inc.’s last reported quarter delivered revenue of 370.08 million US dollars, a gross profit margin of 83.66%, GAAP net loss attributable to the parent of 112.00 million US dollars, a net profit margin of -30.30%, and adjusted EPS of 0.08 US dollars; revenue grew 48.25% year over year and adjusted EPS declined 11.11% year over year. A notable financial highlight was EBIT of 36.09 million US dollars, which rose 214.62% year over year and exceeded the prior internal estimate, while revenue and adjusted EPS surpassed consensus by 18.52 million US dollars and 0.039 US dollars respectively. Main business highlights were anchored by subscription-driven revenue of 370.08 million US dollars, up 48.25% year over year, reflecting continued expansion in larger customer cohorts and cross-product adoption.

Current Quarter Outlook

Core Subscription Platform and Seat Expansion

The subscription platform remains the primary revenue driver in the quarter, with consensus revenue of 375.83 million US dollars implying a 41.71% year-over-year increase and a modest sequential uptick from the prior quarter’s 370.08 million US dollars. Seat expansion across larger customers, combined with cross-sell of adjacent workflows (such as collaboration tooling and developer handoff), underpins the growth cadence embedded in guidance. While management has not provided a gross margin outlook for this quarter, last quarter’s 83.66% gross margin frames investor expectations and forms the baseline for tracking mix effects from AI compute and usage-based features. The key to delivering on the top-line guide will be the balance between net new logo additions and wallet-share growth among existing enterprise accounts, where pricing actions and packaging changes implemented earlier this year continue to filter through renewals and expansions.

The company’s financial framework emphasizes maintaining high attach rates of ancillary modules within the core subscription SKU, which helps stabilize dollar-based expansion in environments where macro budget scrutiny can slow net-new demand. This strategy aligns with consensus expectations for adjusted EPS of 0.06 US dollars, up 18.75% year over year, and EBIT of 23.52 million US dollars, up 35.95% year over year, reflecting operating leverage from scale even as AI compute investments persist. Risk to the subscription trajectory primarily comes from budget optimization cycles at large customers and increased competition for collaboration budgets; however, churn remains the smaller swing factor relative to expansion and new-seat growth, keeping the core growth algorithm intact if renewal cycles hold.

AI Credits and Automation Add-Ons

Investors will focus on AI credits and automation features, which are monetized as usage-based add-ons within the subscription shell and have been flagged by the market as a meaningful incremental growth vector. Recent commentary from management highlighted trade-offs between driving AI feature adoption and safeguarding unit economics, and the last four quarters have shown that compute-intensive AI workloads can pressure gross margins into the mid-80% range compared to historical levels above 90%. The quarter’s story is therefore a test of elasticity: higher AI usage should propel billings and revenue, but the margin profile will depend on the pace of credit monetization and continued optimization of model costs and inference pathways.

Consensus revenue and EPS trajectories imply that the market expects AI credit monetization to contribute to growth without a significant deterioration in profitability metrics versus last quarter’s baseline. That said, the absence of a formal gross margin outlook means the print could carry volatility if AI-driven usage spikes more rapidly than pricing and unit cost improvements. Over the medium term, the credibility of the AI monetization path will be judged by the consistency of operating cash flow and the stabilization of gross margins as the credit model matures. For this quarter, the most relevant markers will be commentary on AI attach rates at renewal, the percentage of enterprise customers adopting AI credits, and evidence that per-user productivity gains translate to durable upsell rather than one-time experimentation.

Near-Term Stock Price Drivers and Sensitivities

The primary stock price driver for this print is whether operating performance can deliver the combination of revenue acceleration and credible margin management. The market has already absorbed management’s emphasis on growth investment, particularly in AI, and will look for reassurance that operating discipline can coexist with continued product velocity. A second driver is the quality of guidance for the forward quarter and the full year: if management narrows the revenue range upward while signaling incremental cost control, the setup becomes favorable for multiple stabilization and improved sentiment.

A third sensitivity is cash flow. Last quarter’s stronger-than-expected EBIT and revenue surprise tempered concerns about the cash profile, but investors remain attentive to the trajectory of free cash flow given seasonal billing dynamics and capitalized R&D, especially as AI initiatives scale. Finally, the tone around large-customer cohorts remains critical; where the company quantifies expansions or provides qualitative color on enterprise pipeline momentum, it can serve as a leading indicator of renewal health and upsell capacity into 2027. Put together, the quarter’s risk-reward skew hinges on the dual narrative: accelerating top line via AI monetization while signaling a pathway to steady profitability improvements.

Analyst Opinions

Bullish opinions dominate recent coverage. Piper Sandler reaffirmed a Buy rating with a 30 US dollars price target, citing the supportive setup from AI-led product innovation and consistent execution against growth initiatives. Wells Fargo maintained a Buy rating and set targets in the low to mid-30s, emphasizing progress in enterprise expansions and the incremental contribution of AI credits to revenue momentum. Bank of America reiterated a Buy stance, highlighting that AI-driven growth and improved clarity on year-ahead revenue justify a constructive outlook. William Blair remains bullish, flagging accelerating product velocity in AI and the flexibility embedded in management’s guidance framework to balance growth with margin stewardship. Citi recently initiated with a positive bias, arguing that upside exists if AI adoption expands within existing accounts and renewal cycles sustain robust net expansion dynamics.

Across these supportive views, the core thesis is that the company continues to show resilient subscription growth and a credible pathway to monetize AI features, which underpins consensus expectations for the current quarter: revenue of 375.83 million US dollars, adjusted EPS of 0.06 US dollars, and EBIT of 23.52 million US dollars, each with double-digit year-over-year growth. The bullish cohort’s emphasis is not solely on the current print but on validating a medium-term framework in which AI adoption provides incremental revenue lift without structurally impairing margins. They acknowledge the gross margin trade-offs that have surfaced during the rollout of AI credits, yet they see the improving revenue mix and enterprise attach rates as sufficient to support reacceleration in the model.

In practical terms, these analysts will evaluate the upcoming report through a few lenses. First is the durability of dollar-based expansion from enterprise accounts, which acts as a proxy for cross-sell of collaboration modules and AI enhancements. Second is progress in unit economics for AI workloads, where visibility into cost per inference and credit pricing informs gross margin stabilization. Third is the alignment between the revenue run-rate and operational efficiency, which shows up in EBIT and adjusted EPS trajectories and provides a signal about the speed of achieving a balanced growth and margin profile. On balance, the bullish consensus expects the quarter to validate the revenue guide and offer encouraging signs on AI monetization, even as the profit recovery remains a staged process aligned with continued optimization of AI-related compute costs.