Figs (FIGS) EBIT (2020 - 2026)
Figs' EBIT came in at $35.26 million for Q2 2026, up 255.6% from $9.92 million a year earlier and up 686.6% from the prior quarter.
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Analysis
Figs (FIGS) EBIT (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Figs reported EBIT of $68.19 million, up 583.6% year-over-year; for FY2025, it came in at $38.15 million.
- EBIT carries a five-year compound annual growth rate of -8.0% (FY2020 to FY2025).
- Going back by year, EBIT was $2.27 million in FY2024 (-93.3%), $34.05 million in FY2023 (-9.6%), $37.67 million in FY2022 (+242.9%) and $10.98 million in FY2021 (-81.0%).
- The Q2 2026 figure represents the highest quarterly EBIT in data going back to Q2 2020.
- Year-over-year, EBIT increased in three of the last four quarters, with growth averaging 217.0%.
- The fastest year-over-year change in EBIT over five years came in Q2 2025 (growth of 538.4%), and the weakest in Q1 2024 (a decline of 86.6%).
- Business Quant data shows FIGS's EBIT at $4.48 million (Q1 2026), $18.81 million (Q4 2025) and $9.64 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.24 Bn | 22.44 Bn | 4.80 Bn | 888.00 Mn |
| 2 | Tapestry | 23.68 Bn | 19.63 Bn | 1.56 Bn | 442.30 Mn |
| 3 | Ralph Lauren | 22.51 Bn | 14.60 Bn | 1.44 Bn | 342.40 Mn |
| 4 | Deckers Outdoor | 12.63 Bn | 5.50 Bn | - | - |
| 5 | Lululemon Athletica | 11.15 Bn | 5.41 Bn | 1.46 Bn | 453.65 Mn |
| 6 | Levi Strauss | 7.98 Bn | 4.56 Bn | 1.07 Bn | 222.30 Mn |
| 7 | V F | 6.76 Bn | 3.38 Bn | 917.04 Mn | -83.07 Mn |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn | 175.90 Mn |
| 9 | Birkenstock Holding | 6.14 Bn | 4.46 Bn | 493.89 Mn | 236.02 Mn |
| 10 | Figs | 3.30 Bn | 2.19 Bn | 147.86 Mn | 35.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.26 Mn |
| Mar 31, 2026 | 4.48 Mn |
| Dec 31, 2025 | 18.81 Mn |
| Sep 30, 2025 | 9.64 Mn |
| Jun 30, 2025 | 9.92 Mn |
| Mar 31, 2025 | -211,000.00 |
| Dec 31, 2024 | 8.90 Mn |
| Sep 30, 2024 | -8.63 Mn |
| Jun 30, 2024 | 1.55 Mn |
| Mar 31, 2024 | 443,000.00 |
| Dec 31, 2023 | 14.23 Mn |
| Sep 30, 2023 | 9.95 Mn |
| Jun 30, 2023 | 6.57 Mn |
| Mar 31, 2023 | 3.30 Mn |
| Dec 31, 2022 | 3.26 Mn |
| Sep 30, 2022 | 11.21 Mn |
| Jun 30, 2022 | 9.45 Mn |
| Mar 31, 2022 | 13.75 Mn |
| Dec 31, 2021 | 16.43 Mn |
| Sep 30, 2021 | 10.55 Mn |
API Access
Figs EBIT 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=ebit&ticker=FIGS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=FIGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();