Figma (FIG) Cash & Equivalents (2024 - 2026)
Figma (FIG) recorded Cash & Equivalents of $445.85 million in Q2 2026, down 28.3% from $621.62 million a year earlier.
Analysis
Figma (FIG) Cash & Equivalents (2024 - 2026) Analysis & Trends
At the end of FY2025, Figma reported Cash & Equivalents of $403.47 million, down 17.1% from FY2024.
- Across earlier years, Cash & Equivalents came in at $486.95 million in FY2024 (-61.7%) and $1.27 billion in FY2023.
- Quarterly Cash & Equivalents has ranged from $340.49 million in Q3 2025 to $621.62 million in Q2 2025 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in 1 of the last four quarters, with an average decline of 14.4%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 99.39 Bn | 74.64 Bn | 6.00 Bn | 4.36 Bn |
| 2 | Atlassian | 56.40 Bn | 49.68 Bn | 1.53 Bn | 1.24 Bn |
| 3 | Autodesk | 51.55 Bn | 39.59 Bn | 1.87 Bn | 4.10 Bn |
| 4 | Twilio | 41.87 Bn | 31.94 Bn | 725.87 Mn | 823.26 Mn |
| 5 | Zoom Communications | 28.87 Bn | -1.92 Bn | 985.50 Mn | 931.99 Mn |
| 6 | Figma | 12.14 Bn | 5.65 Bn | 309.61 Mn | 445.85 Mn |
| 7 | Dropbox | 8.22 Bn | 3.86 Bn | 506.50 Mn | 1.06 Bn |
| 8 | Nice | 7.17 Bn | 5.64 Bn | 995.81 Mn | 315.38 Mn |
| 9 | RingCentral | 6.72 Bn | 6.21 Bn | 472.31 Mn | 111.50 Mn |
| 10 | Open Text | 6.42 Bn | 1.85 Bn | 1.01 Bn | 956.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 445.85 Mn |
| Dec 31, 2025 | 403.47 Mn |
| Sep 30, 2025 | 340.49 Mn |
| Jun 30, 2025 | 621.62 Mn |
| Dec 31, 2024 | 486.95 Mn |
| Sep 30, 2024 | 416.12 Mn |
| Jun 30, 2024 | 586.15 Mn |
API Access
Figma Cash & Equivalents 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=cash-and-equivalents&ticker=FIG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=FIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();