Figs (FIGS) Total Liabilities (2020 - 2026)
Figs' Total Liabilities was $140.31 million in Q2 2026, up 16.4% from $120.59 million a year earlier and up 5.7% from the prior quarter.
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Analysis
Figs (FIGS) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Figs came in at $142.53 million, up 7.4% from FY2024.
- Total Liabilities has now increased for five consecutive years, with a five-year compound annual growth rate of 31.6% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $132.66 million in FY2024 (+37.7%), $96.36 million in FY2023 (+10.3%), $87.33 million in FY2022 (+32.0%) and $66.18 million in FY2021 (+82.9%).
- Quarterly Total Liabilities has moved between $65.23 million (Q3 2021) and $142.53 million (Q4 2025) over five years.
- Compared with a year earlier, Total Liabilities was higher in five of the last eight quarters, with growth averaging 15.5%.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2021 (growth of 82.9%); the worst was Q1 2023 (a decline of 14.5%).
- Per Business Quant data, FIGS's Total Liabilities in the three quarters before Q2 2026 was $132.8 million (Q1 2026), $142.53 million (Q4 2025) and $131.41 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.24 Bn | 22.45 Bn | 4.80 Bn | 22.57 Bn |
| 2 | Tapestry | 23.68 Bn | 19.64 Bn | 1.56 Bn | 6.00 Bn |
| 3 | Ralph Lauren | 22.49 Bn | 14.59 Bn | 1.44 Bn | 4.94 Bn |
| 4 | Deckers Outdoor | 12.64 Bn | 5.51 Bn | - | 1.19 Bn |
| 5 | Lululemon Athletica | 11.18 Bn | 5.44 Bn | 1.46 Bn | 3.69 Bn |
| 6 | Levi Strauss | 7.99 Bn | 4.57 Bn | 1.07 Bn | 4.51 Bn |
| 7 | V F | 6.76 Bn | 3.38 Bn | 917.04 Mn | 7.70 Bn |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn | 6.72 Bn |
| 9 | Birkenstock Holding | 6.15 Bn | 4.47 Bn | 493.89 Mn | 3.27 Bn |
| 10 | Figs | 3.31 Bn | 2.19 Bn | 147.86 Mn | 140.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 140.31 Mn |
| Mar 31, 2026 | 132.80 Mn |
| Dec 31, 2025 | 142.53 Mn |
| Sep 30, 2025 | 131.41 Mn |
| Jun 30, 2025 | 120.59 Mn |
| Mar 31, 2025 | 140.78 Mn |
| Dec 31, 2024 | 132.66 Mn |
| Sep 30, 2024 | 138.98 Mn |
| Jun 30, 2024 | 124.32 Mn |
| Mar 31, 2024 | 121.06 Mn |
| Dec 31, 2023 | 96.36 Mn |
| Sep 30, 2023 | 86.59 Mn |
| Jun 30, 2023 | 74.09 Mn |
| Mar 31, 2023 | 67.91 Mn |
| Dec 31, 2022 | 87.33 Mn |
| Sep 30, 2022 | 93.21 Mn |
| Jun 30, 2022 | 75.52 Mn |
| Mar 31, 2022 | 79.39 Mn |
| Dec 31, 2021 | 66.18 Mn |
| Sep 30, 2021 | 65.23 Mn |
API Access
Figs Total Liabilities 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=total-liabilities&ticker=FIGS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=FIGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();