Figma Earnings Calls
| Release date | May 14, 2026 |
| EPS estimate | $0.0600 |
| EPS actual | -$0.270 |
| EPS Surprise | -550.00% |
| Revenue estimate | 316.019M |
| Revenue actual | 333.439M |
| Revenue Surprise | 5.51% |
| Release date | Feb 18, 2026 |
| EPS estimate | $0.0700 |
| EPS actual | $0.0800 |
| EPS Surprise | 14.29% |
| Revenue estimate | 293.124M |
| Revenue actual | 303.776M |
| Revenue Surprise | 3.63% |
| Release date | Nov 05, 2025 |
| EPS estimate | $0.0456 |
| EPS actual | $0.100 |
| EPS Surprise | 119.49% |
| Revenue estimate | 263.936M |
| Revenue actual | 274.173M |
| Revenue Surprise | 3.88% |
| Release date | Jul 28, 2025 |
| EPS estimate | $0.0809 |
| EPS actual | $0.180 |
| EPS Surprise | 122.50% |
| Revenue estimate | 248.622M |
| Revenue actual | 228.199M |
| Revenue Surprise | -8.21% |
Last 4 Quarters for Figma
Below you can see how FIG performed 4 days prior and 4 days after releasing the earnings report. Also, you can see the pre-estimates and the actual earnings. This information can give you a slight idea of what you might expect for the next quarter's release.
| Release date | Jul 28, 2025 |
| Price on release | $ |
| EPS estimate | $0.0809 |
| EPS actual | $0.180 |
| EPS surprise | 122.50% |
| Date | Price |
|---|---|
| Jul 31, 2025 | $115.50 |
| Aug 01, 2025 | $122.00 |
| Aug 04, 2025 | $88.60 |
| Aug 05, 2025 | $79.08 |
| 4 days before | -100.00% |
| 4 days after | 0% |
| On release day | 0% |
| Change in period | -31.53% |
| Release date | Nov 05, 2025 |
| Price on release | $44.01 |
| EPS estimate | $0.0456 |
| EPS actual | $0.100 |
| EPS surprise | 119.49% |
| Date | Price |
|---|---|
| Oct 30, 2025 | $48.84 |
| Oct 31, 2025 | $49.84 |
| Nov 03, 2025 | $48.17 |
| Nov 04, 2025 | $45.81 |
| Nov 05, 2025 | $44.01 |
| Nov 06, 2025 | $45.98 |
| Nov 07, 2025 | $44.25 |
| Nov 10, 2025 | $44.40 |
| Nov 11, 2025 | $44.48 |
| 4 days before | -9.89% |
| 4 days after | 1.07% |
| On release day | 4.48% |
| Change in period | -8.93% |
| Release date | Feb 18, 2026 |
| Price on release | $24.19 |
| EPS estimate | $0.0700 |
| EPS actual | $0.0800 |
| EPS surprise | 14.29% |
| Date | Price |
|---|---|
| Feb 11, 2026 | $22.57 |
| Feb 12, 2026 | $22.02 |
| Feb 13, 2026 | $22.53 |
| Feb 17, 2026 | $23.10 |
| Feb 18, 2026 | $24.19 |
| Feb 19, 2026 | $25.86 |
| Feb 20, 2026 | $26.09 |
| Feb 23, 2026 | $24.75 |
| Feb 24, 2026 | $27.43 |
| 4 days before | 7.18% |
| 4 days after | 13.39% |
| On release day | 6.90% |
| Change in period | 21.53% |
| Release date | May 14, 2026 |
| Price on release | $20.24 |
| EPS estimate | $0.0600 |
| EPS actual | -$0.270 |
| EPS surprise | -550.00% |
| Date | Price |
|---|---|
| May 08, 2026 | $20.66 |
| May 11, 2026 | $20.05 |
| May 12, 2026 | $19.33 |
| May 13, 2026 | $18.94 |
| May 14, 2026 | $20.24 |
| May 15, 2026 | $22.92 |
| May 18, 2026 | $24.36 |
| May 19, 2026 | $23.27 |
| May 20, 2026 | $22.58 |
| 4 days before | -2.03% |
| 4 days after | 11.56% |
| On release day | 13.24% |
| Change in period | 9.29% |
Figma Earnings Call Transcript Summary of Q1 2026
Figma reported a strong Q1 2026 with revenue of $333M, up 46% year-over-year (acceleration from prior quarters). Growth was broad-based across seat expansion, enterprise adoption, retention, new users and AI product adoption (Figma Make, MCP, Figma Weave). Net dollar retention for customers >$10K ARR rose to 139% (highest in over 2 years). Early AI credit monetization (implemented March 18) is encouraging: >75% of org/enterprise users previously over limits continued consuming credits in April, Pro teams that purchased AI credit add‑ons show ~3x higher ARR, and AI features are driving seat upgrades and usage. Q1 non-GAAP operating margin was 16%, free cash flow margin 27% (free cash flow $89M), and cash & marketable securities totaled $1.6B. Management raised full-year revenue guidance to $1.422B–$1.428B (35% growth at midpoint) and raised full-year non-GAAP operating income to $125M–$135M (9% margin at midpoint). Key strategic themes: AI is a major growth tailwind, product breadth (Make, MCP, Weave, AI assistant) is increasing monetizable surfaces, large enterprise wins and international expansion accelerated, and management is focused on operating efficiencies, governance controls for AI spend, and selective investment in first‑party models to improve performance and cost. Risks noted include inference costs as AI scales and general forward‑looking uncertainties; management emphasizes levers to optimize costs and a monetization approach designed to support adoption rather than constrain it.
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