Figs (FIGS) Revenue (2020 - 2026)
Figs' Revenue was $196.62 million in Q2 2026, up 28.8% from $152.64 million a year earlier and up 23.0% from the prior quarter.
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Analysis
Figs (FIGS) Revenue (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Figs' Revenue was $710.08 million through Jun 30, 2026, up 24.7% year-over-year; for FY2025, it came in at $631.1 million, up 13.6% from FY2024.
- Revenue has now increased for six consecutive years, with a five-year compound annual growth rate of 19.1% (FY2020 to FY2025).
- In earlier years, Revenue was $555.56 million in FY2024 (+1.8%), $545.65 million in FY2023 (+7.9%), $505.84 million in FY2022 (+20.6%) and $419.59 million in FY2021 (+59.5%).
- Quarterly Revenue has moved between $102.7 million (Q3 2021) and $201.9 million (Q4 2025) over five years.
- Compared with a year earlier, Revenue has increased for seven straight quarters, with growth averaging 14.0% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was Q4 2021 (growth of 42.7%); the worst was Q3 2024 (a decline of 1.5%).
- Per Business Quant data, FIGS's Revenue in the three quarters before Q2 2026 was $159.9 million (Q1 2026), $201.9 million (Q4 2025) and $151.66 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 10.97 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 1.88 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 1.96 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 2.42 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 1.56 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 1.58 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 836.35 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 1.18 Bn |
| 10 | Figs | 2.14 Bn | 1.03 Bn | 147.86 Mn | 196.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 196.62 Mn |
| Mar 31, 2026 | 159.90 Mn |
| Dec 31, 2025 | 201.90 Mn |
| Sep 30, 2025 | 151.66 Mn |
| Jun 30, 2025 | 152.64 Mn |
| Mar 31, 2025 | 124.90 Mn |
| Dec 31, 2024 | 151.83 Mn |
| Sep 30, 2024 | 140.21 Mn |
| Jun 30, 2024 | 144.23 Mn |
| Mar 31, 2024 | 119.29 Mn |
| Dec 31, 2023 | 144.92 Mn |
| Sep 30, 2023 | 142.36 Mn |
| Jun 30, 2023 | 138.13 Mn |
| Mar 31, 2023 | 120.23 Mn |
| Dec 31, 2022 | 144.90 Mn |
| Sep 30, 2022 | 128.59 Mn |
| Jun 30, 2022 | 122.25 Mn |
| Mar 31, 2022 | 110.10 Mn |
| Dec 31, 2021 | 128.70 Mn |
| Sep 30, 2021 | 102.70 Mn |
API Access
Figs Revenue 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=revenue&ticker=FIGS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=FIGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();