Figma (FIG) Other Operating Expenses (2024 - 2026)
Figma (FIG) posted Other Operating Expenses of $154.86 million for Q2 2026, up 58.5% from $97.7 million a year earlier.
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Analysis
Figma (FIG) Other Operating Expenses (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Figma was $661.52 million, up 28.6% year-over-year; for FY2025, it came in at $575.51 million, up 21.9% from FY2024.
- In prior years, Figma's Other Operating Expenses was $472.08 million in FY2024 (+134.4%) and $201.38 million in FY2023.
- Quarterly Other Operating Expenses has run from a low of $61.21 million in Q4 2024 to a high of $276.25 million in Q2 2024 over five years.
- On a year-over-year basis, Other Operating Expenses increased in three of the last four quarters, with growth averaging 89.9%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 97.16 Bn | 72.41 Bn | 6.00 Bn |
| 2 | Autodesk | 56.45 Bn | 44.48 Bn | 1.87 Bn |
| 3 | Atlassian | 49.40 Bn | 42.68 Bn | 1.53 Bn |
| 4 | Twilio | 33.00 Bn | 22.64 Bn | 760.53 Mn |
| 5 | Zoom Communications | 26.85 Bn | -3.88 Bn | 985.50 Mn |
| 6 | Figma | 11.88 Bn | 5.20 Bn | 314.44 Mn |
| 7 | Dropbox | 7.93 Bn | 3.57 Bn | 506.50 Mn |
| 8 | RingCentral | 6.58 Bn | 6.11 Bn | 494.30 Mn |
| 9 | Open Text | 6.44 Bn | 1.87 Bn | 1.01 Bn |
| 10 | Box | 6.04 Bn | 3.91 Bn | 253.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 130.66 Mn |
| Jun 30, 2026 | 154.86 Mn |
| Dec 31, 2025 | 134.21 Mn |
| Sep 30, 2025 | 274.76 Mn |
| Jun 30, 2025 | 97.70 Mn |
| Dec 31, 2024 | 61.21 Mn |
| Sep 30, 2024 | 79.29 Mn |
| Jun 30, 2024 | 276.25 Mn |
API Access
Figma Other 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=other-operating-expenses&ticker=FIG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=FIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();