Figs (FIGS) Cash from Operations (2020 - 2026)
Figs (FIGS) reported Cash from Operations of $46.86 million for Q2 2026, compared with -$12.43 million a year earlier.
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Analysis
Figs (FIGS) Cash from Operations (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Figs' Cash from Operations came in at $108.02 million, up 116.9% year-over-year; for FY2025, it came in at $61.17 million, down 24.6% from FY2024.
- Cash from Operations has a five-year compound annual growth rate of 23.0% (FY2020 to FY2025).
- By year, Cash from Operations came in at $81.16 million in FY2024 (-19.6%), $100.92 million in FY2023, -$35.33 million in FY2022 and $66.44 million in FY2021 (+205.5%).
- Five-year quarterly Cash from Operations spans a low of -$18.52 million in Q2 2022 and a high of $60.93 million in Q4 2025.
- Year over year, Cash from Operations gained in two of the last five quarters, with an average decline of 2.6%.
- The high point for year-over-year Cash from Operations in five years was Q4 2023 (growth of 345.3%); the low point was Q3 2025 (a decline of 84.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$3.2 million (Q1 2026), $60.93 million (Q4 2025) and $3.44 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn | 135.00 Mn |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn | 522.20 Mn |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn | 339.30 Mn |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - | - |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn | 374.84 Mn |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn | 102.90 Mn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | -62.50 Mn |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn | 347.44 Mn |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn | 286.47 Mn |
| 10 | Figs | 3.34 Bn | 2.22 Bn | 147.86 Mn | 46.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.86 Mn |
| Mar 31, 2026 | -3.20 Mn |
| Dec 31, 2025 | 60.93 Mn |
| Sep 30, 2025 | 3.44 Mn |
| Jun 30, 2025 | -12.43 Mn |
| Mar 31, 2025 | 9.24 Mn |
| Dec 31, 2024 | 30.42 Mn |
| Sep 30, 2024 | 22.59 Mn |
| Jun 30, 2024 | 16.54 Mn |
| Mar 31, 2024 | 11.62 Mn |
| Dec 31, 2023 | 20.27 Mn |
| Sep 30, 2023 | 54.13 Mn |
| Jun 30, 2023 | 29.40 Mn |
| Mar 31, 2023 | -2.88 Mn |
| Dec 31, 2022 | 4.55 Mn |
| Sep 30, 2022 | -13.35 Mn |
| Jun 30, 2022 | -18.52 Mn |
| Mar 31, 2022 | -8.02 Mn |
| Dec 31, 2021 | 13.93 Mn |
| Sep 30, 2021 | 19.76 Mn |
API Access
Figs Cash from Operations 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-from-operations&ticker=FIGS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "ticker": "FIGS", "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-from-operations&ticker=FIGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();