Figs (FIGS) EV to CFO (2021 - 2026)
Figs' EV to CFO was 12.17 in Q2 2026, down 4.4% from 12.74 a year earlier and down 71.3% from the prior quarter.
Figs (FIGS) EV to CFO (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Figs' EV to CFO was 4.59 through Jun 30, 2026; for FY2025, it came in at 24.34, up 179.0% from FY2024.
- In earlier years, EV to CFO was 8.73 in FY2024 (+0.6%), 8.67 in FY2023 and 60.15 in FY2021.
- The Q2 2026 figure marks the lowest quarterly EV to CFO since Q1 2025.
- Compared with a year earlier, EV to CFO was higher in seven of the last eight quarters, with growth averaging 138.9%.
- The best year-over-year quarter for EV to CFO over five years was Q1 2026 (growth of 631.5%); the worst was Q2 2024 (a decline of 91.0%).
- Per Business Quant data, FIGS's EV to CFO in the three quarters before Q2 2026 was 42.34 (Q1 2026), 24.34 (Q4 2025) and 26.14 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 56.30 Bn | 22.51 Bn | 4.80 Bn |
| 2 | Tapestry | 23.86 Bn | 19.82 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 22.72 Bn | 14.82 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 12.63 Bn | 5.50 Bn | - |
| 5 | Lululemon Athletica | 11.22 Bn | 5.47 Bn | 1.46 Bn |
| 6 | Levi Strauss | 8.00 Bn | 4.58 Bn | 1.07 Bn |
| 7 | V F | 6.82 Bn | 3.44 Bn | 917.04 Mn |
| 8 | Gildan Activewear | 6.54 Bn | 5.46 Bn | 459.76 Mn |
| 9 | Birkenstock Holding | 6.13 Bn | 4.45 Bn | 493.89 Mn |
| 10 | Figs | 3.33 Bn | 2.21 Bn | 147.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.17 |
| Mar 31, 2026 | 42.34 |
| Dec 31, 2025 | 24.34 |
| Sep 30, 2025 | 26.14 |
| Jun 30, 2025 | 12.74 |
| Mar 31, 2025 | 5.79 |
| Dec 31, 2024 | 8.73 |
| Sep 30, 2024 | 11.57 |
| Jun 30, 2024 | 5.82 |
| Mar 31, 2024 | 4.74 |
| Dec 31, 2023 | 8.67 |
| Sep 30, 2023 | 8.43 |
| Jun 30, 2023 | 64.43 |
| Jun 30, 2022 | 178.16 |
| Mar 31, 2022 | 76.15 |
| Dec 31, 2021 | 60.15 |
| Sep 30, 2021 | 106.29 |
| Jun 30, 2021 | 239.64 |
Figs EV to CFO 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=ev-to-cfo&ticker=FIGS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=FIGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();