Figs (FIGS) Gross Margin (2020 - 2026)
Figs' Gross Margin came in at 75.20% for Q2 2026, up 8.21 percentage points from 66.99% a year earlier and up 7.47 percentage points from the prior quarter.
Figs (FIGS) Gross Margin (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Figs reported Gross Margin of 68.91%, up 1.68 percentage points year-over-year; for FY2025, it was 66.53%, down 1.09 percentage points from FY2024.
- Gross Margin has declined in each of the last five years, with a five-year change of -5.77 percentage points (FY2020 to FY2025).
- Going back by year, Gross Margin was 67.61% in FY2024 (-1.47 pp), 69.09% in FY2023 (-0.99 pp), 70.07% in FY2022 (-1.71 pp) and 71.79% in FY2021 (-0.51 pp).
- The Q2 2026 figure represents the highest quarterly Gross Margin in data going back to Q2 2020.
- Year-over-year, Gross Margin increased in three of the last eight quarters, with an average year-over-year change of +0.45 percentage points.
- The fastest year-over-year change in Gross Margin over five years came in Q2 2026 (a gain of 8.21 percentage points), and the weakest in Q4 2025 (a drop of 4.37 percentage points).
- Business Quant data shows FIGS's Gross Margin at 67.73% (Q1 2026), 62.94% (Q4 2025) and 69.94% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.18 Bn | 22.38 Bn | 4.80 Bn | 42.79% |
| 2 | Tapestry | 23.99 Bn | 19.95 Bn | 1.56 Bn | 83.32% |
| 3 | Ralph Lauren | 22.76 Bn | 14.85 Bn | 1.44 Bn | 73.69% |
| 4 | Deckers Outdoor | 12.61 Bn | 5.48 Bn | - | - |
| 5 | Lululemon Athletica | 11.29 Bn | 5.54 Bn | 1.46 Bn | 60.52% |
| 6 | Levi Strauss | 8.02 Bn | 4.60 Bn | 1.07 Bn | 66.21% |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | 54.93% |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | 29.05% |
| 9 | Birkenstock Holding | 6.11 Bn | 4.43 Bn | 493.89 Mn | 59.05% |
| 10 | Figs | 3.31 Bn | 2.20 Bn | 147.86 Mn | 75.20% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75.20% |
| Mar 31, 2026 | 67.73% |
| Dec 31, 2025 | 62.94% |
| Sep 30, 2025 | 69.94% |
| Jun 30, 2025 | 66.99% |
| Mar 31, 2025 | 67.62% |
| Dec 31, 2024 | 67.31% |
| Sep 30, 2024 | 67.06% |
| Jun 30, 2024 | 67.44% |
| Mar 31, 2024 | 68.85% |
| Dec 31, 2023 | 67.53% |
| Sep 30, 2023 | 68.41% |
| Jun 30, 2023 | 69.52% |
| Mar 31, 2023 | 71.26% |
| Dec 31, 2022 | 68.22% |
| Sep 30, 2022 | 70.64% |
| Jun 30, 2022 | 70.63% |
| Mar 31, 2022 | 71.24% |
| Dec 31, 2021 | 69.93% |
| Sep 30, 2021 | 72.74% |
Figs Gross Margin 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=gross-margin&ticker=FIGS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=FIGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();