Figs (FIGS) Accumulated Expenses (2020 - 2026)
Figs (FIGS) recorded Accumulated Expenses of $39.53 million in Q2 2026, up 77.8% from $22.24 million a year earlier and up 10.8% from the prior quarter.
Figs (FIGS) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Figs reported Accumulated Expenses of $20.53 million, down 51.5% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 25.2% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $42.32 million in FY2024 (+435.2%), $7.91 million in FY2023 (-69.8%), $26.16 million in FY2022 (+6.0%) and $24.68 million in FY2021 (+269.3%).
- The Q2 2026 figure is the highest quarterly Accumulated Expenses since Q1 2025.
- On a year-over-year basis, Accumulated Expenses rose in six of the last eight quarters, with growth averaging 94.3%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 435.2% in Q4 2024, against a decline of 69.8% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $35.66 million (Q1 2026), $20.53 million (Q4 2025) and $34.19 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn |
| 10 | Figs | 3.34 Bn | 2.22 Bn | 147.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.53 Mn |
| Mar 31, 2026 | 35.66 Mn |
| Dec 31, 2025 | 20.53 Mn |
| Sep 30, 2025 | 34.19 Mn |
| Jun 30, 2025 | 22.24 Mn |
| Mar 31, 2025 | 54.22 Mn |
| Dec 31, 2024 | 42.32 Mn |
| Sep 30, 2024 | 29.04 Mn |
| Jun 30, 2024 | 21.61 Mn |
| Mar 31, 2024 | 16.60 Mn |
| Dec 31, 2023 | 7.91 Mn |
| Sep 30, 2023 | 16.15 Mn |
| Jun 30, 2023 | 17.99 Mn |
| Mar 31, 2023 | 21.27 Mn |
| Dec 31, 2022 | 26.16 Mn |
| Sep 30, 2022 | 32.37 Mn |
| Jun 30, 2022 | 27.84 Mn |
| Mar 31, 2022 | 24.20 Mn |
| Dec 31, 2021 | 24.68 Mn |
| Sep 30, 2021 | 21.78 Mn |
Figs Accumulated Expenses 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=accumulated-expenses&ticker=FIGS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=FIGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();