Figma (FIG) Change in Accrued Expenses (2024 - 2026)
Figma (FIG) reported Change in Accrued Expenses of $63.05 million for Q3 2026, up 66.4% from $37.88 million a year earlier.
Figma (FIG) Change in Accrued Expenses (2024 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Figma's Change in Accrued Expenses came in at $38.69 million, down 32.8% year-over-year; for FY2025, it came in at $77.01 million.
- By year, Change in Accrued Expenses came in at -$252.53 million in FY2024 and $232.49 million in FY2023.
- The Q3 2026 figure ranks as the highest quarterly Change in Accrued Expenses in data going back to Q3 2024.
- Per Business Quant data, the three quarters before Q3 2026 came in at $387,000 (Q2 2026), -$44.02 million (Q1 2026) and $19.28 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 94.52 Bn | 69.77 Bn | 6.00 Bn | 19.00 Mn |
| 2 | Autodesk | 54.99 Bn | 43.02 Bn | 1.87 Bn | 80.00 Mn |
| 3 | Atlassian | 39.98 Bn | 33.26 Bn | 1.53 Bn | -31.86 Mn |
| 4 | Twilio | 30.87 Bn | 20.51 Bn | 760.53 Mn | 86.78 Mn |
| 5 | Zoom Communications | 26.33 Bn | -4.40 Bn | 985.50 Mn | 53.79 Mn |
| 6 | Figma | 10.00 Bn | 3.32 Bn | 314.44 Mn | 63.05 Mn |
| 7 | Dropbox | 7.80 Bn | 3.43 Bn | 506.50 Mn | 29.20 Mn |
| 8 | Open Text | 6.19 Bn | 1.62 Bn | 1.01 Bn | 15.63 Mn |
| 9 | RingCentral | 6.04 Bn | 5.57 Bn | 494.30 Mn | 2.61 Mn |
| 10 | Nice | 5.99 Bn | 4.56 Bn | 1.49 Bn | 71.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 63.05 Mn |
| Jun 30, 2026 | 387,000.00 |
| Mar 31, 2026 | -44.02 Mn |
| Dec 31, 2025 | 19.28 Mn |
| Sep 30, 2025 | 37.88 Mn |
| Dec 31, 2024 | -149,000.00 |
| Sep 30, 2024 | -13.36 Mn |
Figma Change in Accrued 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=change-in-accured-expenses&ticker=FIG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=FIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();