Figs (FIGS) EBT (2020 - 2026)
Figs (FIGS) recorded EBT of $36.88 million in Q2 2026, up 206.5% from $12.03 million a year earlier and up 472.2% from the prior quarter.
Figs (FIGS) EBT (2020 - 2026) Analysis & Trends
On a TTM basis, Figs' EBT came in at $76.64 million as of Jun 30, 2026, up 272.5% year-over-year; for FY2025, it came in at $47.21 million, up 229.2% from FY2024.
- Annual EBT has a five-year compound annual growth rate of -4.1% (FY2020 to FY2025).
- Across earlier years, EBT came in at $14.34 million in FY2024 (-64.9%), $40.81 million in FY2023 (+5.4%), $38.73 million in FY2022 (+292.8%) and $9.86 million in FY2021 (-83.0%).
- The Q2 2026 figure is the highest quarterly EBT in data going back to Q2 2020.
- On a year-over-year basis, EBT has increased for three consecutive quarters, with growth averaging 105.2% over the last six quarters.
- Peak year-over-year performance for EBT in the last five years was growth of 353.7% in Q4 2023, against a decline of 77.7% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.45 million (Q1 2026), $21.35 million (Q4 2025) and $11.96 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.30 Bn | 22.51 Bn | 4.80 Bn | 921.00 Mn |
| 2 | Tapestry | 23.86 Bn | 19.82 Bn | 1.56 Bn | 428.80 Mn |
| 3 | Ralph Lauren | 22.72 Bn | 14.82 Bn | 1.44 Bn | 342.20 Mn |
| 4 | Deckers Outdoor | 12.63 Bn | 5.50 Bn | - | - |
| 5 | Lululemon Athletica | 11.22 Bn | 5.47 Bn | 1.46 Bn | 467.35 Mn |
| 6 | Levi Strauss | 8.00 Bn | 4.58 Bn | 1.07 Bn | 220.10 Mn |
| 7 | V F | 6.82 Bn | 3.44 Bn | 917.04 Mn | -106.89 Mn |
| 8 | Gildan Activewear | 6.54 Bn | 5.46 Bn | 459.76 Mn | 106.61 Mn |
| 9 | Birkenstock Holding | 6.13 Bn | 4.45 Bn | 493.89 Mn | 186.03 Mn |
| 10 | Figs | 3.33 Bn | 2.21 Bn | 147.86 Mn | 36.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.88 Mn |
| Mar 31, 2026 | 6.45 Mn |
| Dec 31, 2025 | 21.35 Mn |
| Sep 30, 2025 | 11.96 Mn |
| Jun 30, 2025 | 12.03 Mn |
| Mar 31, 2025 | 1.86 Mn |
| Dec 31, 2024 | 12.38 Mn |
| Sep 30, 2024 | -5.70 Mn |
| Jun 30, 2024 | 4.38 Mn |
| Mar 31, 2024 | 3.28 Mn |
| Dec 31, 2023 | 16.51 Mn |
| Sep 30, 2023 | 11.85 Mn |
| Jun 30, 2023 | 8.08 Mn |
| Mar 31, 2023 | 4.37 Mn |
| Dec 31, 2022 | 3.64 Mn |
| Sep 30, 2022 | 11.82 Mn |
| Jun 30, 2022 | 9.52 Mn |
| Mar 31, 2022 | 13.75 Mn |
| Dec 31, 2021 | 16.31 Mn |
| Sep 30, 2021 | 9.62 Mn |
Figs EBT 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=ebt&ticker=FIGS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=FIGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();