Figs (FIGS) Inventory (2020 - 2026)
Figs (FIGS) recorded Inventory of $119.56 million in Q2 2026, down 11.8% from $135.53 million a year earlier and down 14.2% from the prior quarter.
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Analysis
Figs (FIGS) Inventory (2020 - 2026) Analysis & Trends
At the end of FY2025, Figs reported Inventory of $127.97 million, up 10.5% from FY2024.
- Annual Inventory has a five-year compound annual growth rate of 20.8% (FY2020 to FY2025).
- Across earlier years, Inventory came in at $115.76 million in FY2024 (-2.8%), $119.04 million in FY2023 (-33.1%), $177.98 million in FY2022 (+106.8%) and $86.07 million in FY2021 (+73.1%).
- The Q2 2026 figure is the lowest quarterly Inventory since Q4 2024.
- On a year-over-year basis, Inventory rose in five of the last eight quarters, with growth averaging 3.1%.
- Peak year-over-year performance for Inventory in the last five years was growth of 142.4% in Q3 2022, against a decline of 33.1% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $139.38 million (Q1 2026), $127.97 million (Q4 2025) and $151.23 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.44 Bn | 22.64 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.72 Bn | 19.68 Bn | 1.56 Bn | 826.20 Mn |
| 3 | Ralph Lauren | 22.53 Bn | 14.62 Bn | 1.44 Bn | 1.16 Bn |
| 4 | Deckers Outdoor | 12.65 Bn | 5.52 Bn | - | 487.02 Mn |
| 5 | Lululemon Athletica | 11.19 Bn | 5.45 Bn | 1.46 Bn | 1.71 Bn |
| 6 | Levi Strauss | 8.01 Bn | 4.59 Bn | 1.07 Bn | 1.25 Bn |
| 7 | V F | 6.76 Bn | 3.38 Bn | 917.04 Mn | 1.90 Bn |
| 8 | Gildan Activewear | 6.56 Bn | 5.48 Bn | 459.76 Mn | 2.17 Bn |
| 9 | Birkenstock Holding | 6.18 Bn | 4.50 Bn | 493.89 Mn | 963.27 Mn |
| 10 | Figs | 3.31 Bn | 2.19 Bn | 147.86 Mn | 119.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 119.56 Mn |
| Mar 31, 2026 | 139.38 Mn |
| Dec 31, 2025 | 127.97 Mn |
| Sep 30, 2025 | 151.23 Mn |
| Jun 30, 2025 | 135.53 Mn |
| Mar 31, 2025 | 131.58 Mn |
| Dec 31, 2024 | 115.76 Mn |
| Sep 30, 2024 | 123.40 Mn |
| Jun 30, 2024 | 119.29 Mn |
| Mar 31, 2024 | 130.47 Mn |
| Dec 31, 2023 | 119.04 Mn |
| Sep 30, 2023 | 143.18 Mn |
| Jun 30, 2023 | 167.81 Mn |
| Mar 31, 2023 | 180.37 Mn |
| Dec 31, 2022 | 177.98 Mn |
| Sep 30, 2022 | 168.09 Mn |
| Jun 30, 2022 | 127.65 Mn |
| Mar 31, 2022 | 102.77 Mn |
| Dec 31, 2021 | 86.07 Mn |
| Sep 30, 2021 | 69.36 Mn |
API Access
Figs Inventory 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=inventory&ticker=FIGS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=FIGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();