Figs (FIGS) Total Non-Current Liabilities (2020 - 2026)
Figs' Total Non-Current Liabilities was $140.05 million in Q2 2026, up 16.2% from $120.51 million a year earlier and up 5.7% from the prior quarter.
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Analysis
Figs (FIGS) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Figs came in at $142.35 million, up 7.4% from FY2024.
- Total Non-Current Liabilities has now increased for five consecutive years, with a five-year compound annual growth rate of 34.4% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $132.57 million in FY2024 (+37.8%), $96.18 million in FY2023 (+10.4%), $87.15 million in FY2022 (+39.1%) and $62.64 million in FY2021 (+92.6%).
- Quarterly Total Non-Current Liabilities has moved between $61.64 million (Q3 2021) and $142.35 million (Q4 2025) over five years.
- Compared with a year earlier, Total Non-Current Liabilities was higher in five of the last eight quarters, with growth averaging 15.5%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2021 (growth of 92.6%); the worst was Q1 2023 (a decline of 14.4%).
- Per Business Quant data, FIGS's Total Non-Current Liabilities in the three quarters before Q2 2026 was $132.54 million (Q1 2026), $142.35 million (Q4 2025) and $131.33 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.52 Bn | 21.73 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.81 Bn | 19.77 Bn | 1.56 Bn | 5.46 Bn |
| 3 | Ralph Lauren | 22.74 Bn | 14.84 Bn | 1.44 Bn | 4.63 Bn |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - | 384.05 Mn |
| 5 | Lululemon Athletica | 10.96 Bn | 5.22 Bn | 1.46 Bn | 3.63 Bn |
| 6 | Levi Strauss | 8.08 Bn | 4.67 Bn | 1.07 Bn | 4.29 Bn |
| 7 | V F | 6.77 Bn | 3.39 Bn | 917.04 Mn | 7.07 Bn |
| 8 | Gildan Activewear | 6.49 Bn | 5.41 Bn | 459.76 Mn | 4.37 Bn |
| 9 | Birkenstock Holding | 6.08 Bn | 4.40 Bn | 493.89 Mn | 2.70 Bn |
| 10 | Figs | 3.39 Bn | 2.27 Bn | 147.86 Mn | 140.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 140.05 Mn |
| Mar 31, 2026 | 132.54 Mn |
| Dec 31, 2025 | 142.35 Mn |
| Sep 30, 2025 | 131.33 Mn |
| Jun 30, 2025 | 120.51 Mn |
| Mar 31, 2025 | 140.70 Mn |
| Dec 31, 2024 | 132.57 Mn |
| Sep 30, 2024 | 138.80 Mn |
| Jun 30, 2024 | 124.14 Mn |
| Mar 31, 2024 | 120.88 Mn |
| Dec 31, 2023 | 96.18 Mn |
| Sep 30, 2023 | 86.41 Mn |
| Jun 30, 2023 | 73.92 Mn |
| Mar 31, 2023 | 67.74 Mn |
| Dec 31, 2022 | 87.15 Mn |
| Sep 30, 2022 | 93.00 Mn |
| Jun 30, 2022 | 75.30 Mn |
| Mar 31, 2022 | 79.15 Mn |
| Dec 31, 2021 | 62.39 Mn |
| Sep 30, 2021 | 61.64 Mn |
API Access
Figs Total Non-Current 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-non-current-liabilities&ticker=FIGS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=FIGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();