Figs (FIGS) Return on Capital Employed [ROCE] (2021 - 2026)
Figs (FIGS) reported Return on Capital Employed [ROCE] of 14.16% for Q2 2026, up 11.90 percentage points from 2.26% a year earlier and up 5.44 percentage points from the prior quarter.
Figs (FIGS) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Figs posted Return on Capital Employed [ROCE] of 8.40%, up 7.83 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a four-year change of +1.55 percentage points (FY2021 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at 0.56% in FY2024 (-8.47 pp), 9.03% in FY2023 (-4.32 pp), 13.36% in FY2022 (+6.51 pp) and 6.85% in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Return on Capital Employed [ROCE] since Q3 2022.
- Year over year, Return on Capital Employed [ROCE] has now increased in each of the last four quarters, with an average year-over-year change of +1.12 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q3 2022 (a gain of 13.82 percentage points); the low point was Q3 2023 (a drop of 10.86 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 8.72% (Q1 2026), 8.08% (Q4 2025) and 6.36% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.05 Bn | 18.05 Bn | 5.39 Bn | 15.07% |
| 2 | Tapestry | 23.90 Bn | 19.86 Bn | 1.56 Bn | 38.80% |
| 3 | Ralph Lauren | 21.81 Bn | 13.91 Bn | 1.44 Bn | 21.43% |
| 4 | Deckers Outdoor | 11.33 Bn | 4.20 Bn | - | - |
| 5 | Lululemon Athletica | 10.22 Bn | 4.47 Bn | 1.46 Bn | 29.51% |
| 6 | Levi Strauss | 7.69 Bn | 4.35 Bn | 979.10 Mn | 14.72% |
| 7 | Gildan Activewear | 6.41 Bn | 5.41 Bn | 459.76 Mn | 5.97% |
| 8 | Birkenstock Holding | 6.07 Bn | 4.37 Bn | 493.89 Mn | 10.20% |
| 9 | Crocs | 5.74 Bn | 5.15 Bn | 700.71 Mn | 23.21% |
| 10 | Figs | 2.22 Bn | 1.10 Bn | 147.86 Mn | 14.16% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.16% |
| Mar 31, 2026 | 8.72% |
| Dec 31, 2025 | 8.08% |
| Sep 30, 2025 | 6.36% |
| Jun 30, 2025 | 2.26% |
| Mar 31, 2025 | 0.39% |
| Dec 31, 2024 | 0.52% |
| Sep 30, 2024 | 1.73% |
| Jun 30, 2024 | 5.92% |
| Mar 31, 2024 | 7.42% |
| Dec 31, 2023 | 8.51% |
| Sep 30, 2023 | 6.48% |
| Jun 30, 2023 | 7.10% |
| Mar 31, 2023 | 8.03% |
| Dec 31, 2022 | 11.81% |
| Sep 30, 2022 | 17.34% |
| Jun 30, 2022 | 17.30% |
| Mar 31, 2022 | 3.26% |
| Dec 31, 2021 | 4.66% |
| Sep 30, 2021 | 3.52% |
Figs Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=FIGS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=FIGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();