Figma (FIG) Operating Expenses (2024 - 2026)
Figma's Operating Expenses was $426.9 million in Q2 2026, up 94.3% from $219.68 million a year earlier.
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Analysis
Figma (FIG) Operating Expenses (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Figma's Operating Expenses was $2.42 billion through Jun 30, 2026, up 48.6% year-over-year; for FY2025, it was $2.16 billion, up 40.4% from FY2024.
- In earlier years, Operating Expenses was $1.54 billion in FY2024 (+188.3%) and $533.83 million in FY2023.
- Quarterly Operating Expenses has moved between $148.81 million (Q4 2024) and $1.33 billion (Q3 2025) over five years.
- Compared with a year earlier, Operating Expenses was higher in three of the last four quarters, with growth averaging 174.6%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 99.39 Bn | 74.64 Bn | 6.00 Bn | 3.64 Bn |
| 2 | Atlassian | 56.40 Bn | 49.68 Bn | 1.53 Bn | 1.32 Bn |
| 3 | Autodesk | 51.55 Bn | 39.59 Bn | 1.87 Bn | 1.27 Bn |
| 4 | Twilio | 41.87 Bn | 31.94 Bn | 725.87 Mn | 641.32 Mn |
| 5 | Zoom Communications | 28.87 Bn | -1.92 Bn | 985.50 Mn | 671.18 Mn |
| 6 | Figma | 12.14 Bn | 5.65 Bn | 309.61 Mn | 426.90 Mn |
| 7 | Dropbox | 8.22 Bn | 3.86 Bn | 506.50 Mn | 341.70 Mn |
| 8 | Nice | 7.17 Bn | 5.64 Bn | 995.81 Mn | 765.06 Mn |
| 9 | RingCentral | 6.72 Bn | 6.21 Bn | 472.31 Mn | 422.02 Mn |
| 10 | Open Text | 6.42 Bn | 1.85 Bn | 1.01 Bn | 691.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 426.90 Mn |
| Dec 31, 2025 | 444.98 Mn |
| Sep 30, 2025 | 1.33 Bn |
| Jun 30, 2025 | 219.68 Mn |
| Dec 31, 2024 | 148.81 Mn |
| Sep 30, 2024 | 227.27 Mn |
| Jun 30, 2024 | 1.03 Bn |
API Access
Figma Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-expenses&ticker=FIG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FIG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=FIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();