Figs (FIGS) Share-based Compensation (2020 - 2026)
Figs (FIGS) recorded Share-based Compensation of $6.73 million in Q2 2026, down 11.6% from $7.62 million a year earlier but up 23.5% from the prior quarter.
Figs (FIGS) Share-based Compensation (2020 - 2026) Analysis & Trends
On a TTM basis, Figs' Share-based Compensation came in at $24.23 million as of Jun 30, 2026, down 31.7% year-over-year; for FY2025, it came in at $26.9 million, down 37.0% from FY2024.
- Annual Share-based Compensation has a five-year compound annual growth rate of 25.3% (FY2020 to FY2025).
- Across earlier years, Share-based Compensation came in at $42.7 million in FY2024 (-6.8%), $45.8 million in FY2023 (+22.1%), $37.5 million in FY2022 (-53.8%) and $81.14 million in FY2021 (+831.2%).
- Quarterly Share-based Compensation has ranged from $5.22 million in Q4 2025 to $12.86 million in Q4 2021 over the past five years.
- On a year-over-year basis, Share-based Compensation has declined for nine consecutive quarters, with an average decline of 26.2% over the last eight quarters.
- Peak year-over-year performance for Share-based Compensation in the last five years was growth of 946.6% in Q3 2021, against a decline of 84.3% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.45 million (Q1 2026), $5.22 million (Q4 2025) and $6.83 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Stock Comp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.24 Bn | 22.44 Bn | 4.80 Bn | 158.00 Mn |
| 2 | Tapestry | 23.68 Bn | 19.63 Bn | 1.56 Bn | 25.50 Mn |
| 3 | Ralph Lauren | 22.51 Bn | 14.60 Bn | 1.44 Bn | 26.00 Mn |
| 4 | Deckers Outdoor | 12.63 Bn | 5.50 Bn | - | - |
| 5 | Lululemon Athletica | 11.15 Bn | 5.41 Bn | 1.46 Bn | 21.09 Mn |
| 6 | Levi Strauss | 7.98 Bn | 4.56 Bn | 1.07 Bn | 18.70 Mn |
| 7 | V F | 6.76 Bn | 3.38 Bn | 917.04 Mn | 22.83 Mn |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn | 8.77 Mn |
| 9 | Birkenstock Holding | 6.14 Bn | 4.46 Bn | 493.89 Mn | - |
| 10 | Figs | 3.30 Bn | 2.19 Bn | 147.86 Mn | 6.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.73 Mn |
| Mar 31, 2026 | 5.45 Mn |
| Dec 31, 2025 | 5.22 Mn |
| Sep 30, 2025 | 6.83 Mn |
| Jun 30, 2025 | 7.62 Mn |
| Mar 31, 2025 | 7.24 Mn |
| Dec 31, 2024 | 10.08 Mn |
| Sep 30, 2024 | 10.51 Mn |
| Jun 30, 2024 | 10.50 Mn |
| Mar 31, 2024 | 11.61 Mn |
| Dec 31, 2023 | 11.50 Mn |
| Sep 30, 2023 | 12.00 Mn |
| Jun 30, 2023 | 11.52 Mn |
| Mar 31, 2023 | 10.79 Mn |
| Dec 31, 2022 | 11.21 Mn |
| Sep 30, 2022 | 9.03 Mn |
| Jun 30, 2022 | 8.78 Mn |
| Mar 31, 2022 | 8.48 Mn |
| Dec 31, 2021 | 12.86 Mn |
| Sep 30, 2021 | 7.25 Mn |
Figs Share-based Compensation 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=share-based-compensation&ticker=FIGS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "share-based-compensation", "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=share-based-compensation&ticker=FIGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();