Figs (FIGS) Other Operating Expenses (2020 - 2026)
Figs (FIGS) recorded Other Operating Expenses of $72.21 million in Q2 2026, up 25.4% from $57.58 million a year earlier and up 9.5% from the prior quarter.
Powered by 
Analysis
Figs (FIGS) Other Operating Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, Figs' Other Operating Expenses came in at $268.68 million as of Jun 30, 2026, up 15.2% year-over-year; for FY2025, it came in at $238.96 million, up 3.7% from FY2024.
- Annual Other Operating Expenses has increased for three straight years, with a four-year compound annual growth rate of 305.4% (FY2021 to FY2025).
- Across earlier years, Other Operating Expenses came in at $230.48 million in FY2024 (+14.0%), $202.24 million in FY2023 (+3.1%), $196.14 million in FY2022 and $885,000 in FY2021.
- The Q2 2026 figure is the highest quarterly Other Operating Expenses in data going back to Q2 2020.
- On a year-over-year basis, Other Operating Expenses has increased for three consecutive quarters, with growth averaging 15.6% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 31.1% in Q3 2024, against a decline of 50.0% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $65.93 million (Q1 2026), $71.23 million (Q4 2025) and $59.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 56.18 Bn | 22.38 Bn | 4.80 Bn |
| 2 | Tapestry | 23.99 Bn | 19.95 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 22.76 Bn | 14.85 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 12.61 Bn | 5.48 Bn | - |
| 5 | Lululemon Athletica | 11.29 Bn | 5.54 Bn | 1.46 Bn |
| 6 | Levi Strauss | 8.02 Bn | 4.60 Bn | 1.07 Bn |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn |
| 9 | Birkenstock Holding | 6.11 Bn | 4.43 Bn | 493.89 Mn |
| 10 | Figs | 3.31 Bn | 2.20 Bn | 147.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 72.21 Mn |
| Mar 31, 2026 | 65.93 Mn |
| Dec 31, 2025 | 71.23 Mn |
| Sep 30, 2025 | 59.31 Mn |
| Jun 30, 2025 | 57.58 Mn |
| Mar 31, 2025 | 50.83 Mn |
| Dec 31, 2024 | 57.71 Mn |
| Sep 30, 2024 | 67.13 Mn |
| Jun 30, 2024 | 59.94 Mn |
| Mar 31, 2024 | 45.71 Mn |
| Dec 31, 2023 | 48.19 Mn |
| Sep 30, 2023 | 51.21 Mn |
| Jun 30, 2023 | 54.63 Mn |
| Mar 31, 2023 | 48.22 Mn |
| Dec 31, 2022 | 59.08 Mn |
| Sep 30, 2022 | 51.97 Mn |
| Mar 31, 2022 | 1,000.00 |
| Dec 31, 2021 | 60,000.00 |
| Sep 30, 2021 | 823,000.00 |
| Mar 31, 2021 | 2,000.00 |
API Access
Figs Other Operating 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=other-operating-expenses&ticker=FIGS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=FIGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();