Figs (FIGS) Change in Inventory (2020 - 2026)
Figs' Change in Inventory came in at -$19.83 million for Q2 2026, compared with $3.95 million a year earlier.
Figs (FIGS) Change in Inventory (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Figs reported Change in Inventory of -$15.97 million; for FY2025, it was $12.21 million.
- Change in Inventory carries a five-year compound annual growth rate of -19.2% (FY2020 to FY2025).
- Going back by year, Change in Inventory was -$3.28 million in FY2024, -$58.94 million in FY2023, $91.91 million in FY2022 (+153.0%) and $36.33 million in FY2021 (+2.5%).
- The five-year range for quarterly Change in Inventory is -$24.62 million (Q3 2023) to $40.44 million (Q3 2022).
- The fastest year-over-year change in Change in Inventory over five years came in Q3 2022 (growth of 479.2%), and the weakest in Q1 2023 (a decline of 85.6%).
- Business Quant data shows FIGS's Change in Inventory at $11.42 million (Q1 2026), -$23.27 million (Q4 2025) and $15.71 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.71 Bn | 21.91 Bn | 4.80 Bn | 312.00 Mn |
| 2 | Tapestry | 23.90 Bn | 19.86 Bn | 1.56 Bn | -19.10 Mn |
| 3 | Ralph Lauren | 22.88 Bn | 14.97 Bn | 1.44 Bn | 156.30 Mn |
| 4 | Deckers Outdoor | 12.35 Bn | 5.22 Bn | - | - |
| 5 | Lululemon Athletica | 11.00 Bn | 5.25 Bn | 1.46 Bn | 37.99 Mn |
| 6 | Levi Strauss | 8.14 Bn | 4.72 Bn | 1.07 Bn | - |
| 7 | V F | 6.80 Bn | 3.42 Bn | 917.04 Mn | 537.01 Mn |
| 8 | Gildan Activewear | 6.54 Bn | 5.46 Bn | 459.76 Mn | - |
| 9 | Birkenstock Holding | 6.14 Bn | 4.46 Bn | 493.89 Mn | - |
| 10 | Figs | 3.38 Bn | 2.27 Bn | 147.86 Mn | -19.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -19.83 Mn |
| Mar 31, 2026 | 11.42 Mn |
| Dec 31, 2025 | -23.27 Mn |
| Sep 30, 2025 | 15.71 Mn |
| Jun 30, 2025 | 3.95 Mn |
| Mar 31, 2025 | 15.82 Mn |
| Dec 31, 2024 | -7.64 Mn |
| Sep 30, 2024 | 4.10 Mn |
| Jun 30, 2024 | -11.17 Mn |
| Mar 31, 2024 | 11.43 Mn |
| Dec 31, 2023 | -24.14 Mn |
| Sep 30, 2023 | -24.62 Mn |
| Jun 30, 2023 | -12.57 Mn |
| Mar 31, 2023 | 2.40 Mn |
| Dec 31, 2022 | 9.89 Mn |
| Sep 30, 2022 | 40.44 Mn |
| Jun 30, 2022 | 24.88 Mn |
| Mar 31, 2022 | 16.70 Mn |
| Dec 31, 2021 | 16.71 Mn |
| Sep 30, 2021 | 6.98 Mn |
Figs Change in 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=change-in-inventory&ticker=FIGS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-inventory&ticker=FIGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();