Winmark (WINA) Return on Capital Employed [ROCE] (2011 - 2026)
Winmark's Return on Capital Employed [ROCE] was 161.62% in Q3 2026, up 29.80 percentage points from 131.82% a year earlier but down 11.32 percentage points from the prior quarter.
Winmark (WINA) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Winmark came in at 270.29%, up 38.32 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of +156.08 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was 231.97% in FY2024 (-44.81 pp), 276.78% in FY2023 (-19.72 pp), 296.50% in FY2022 (+28.34 pp) and 268.17% in FY2021 (+153.96 pp).
- Quarterly Return on Capital Employed [ROCE] has moved between 131.82% (Q3 2025) and 618.07% (Q1 2022) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for four straight quarters, with an average year-over-year change of -1.12 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q1 2022 (a gain of 372.22 percentage points); the worst was Q2 2023 (a drop of 424.83 percentage points).
- Per Business Quant data, WINA's Return on Capital Employed [ROCE] in the three quarters before Q3 2026 was 172.94% (Q2 2026), 252.73% (Q1 2026) and 162.24% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 10.62% |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 28.54% |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 34.00% |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 30.02% |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 18.83% |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 30.97% |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 15.67% |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 46.05% |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 33.34% |
| 10 | Winmark | 967.64 Mn | 883.72 Mn | 19.32 Mn | 161.62% |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 161.62% |
| Jun 27, 2026 | 172.94% |
| Mar 28, 2026 | 252.73% |
| Dec 27, 2025 | 162.24% |
| Sep 27, 2025 | 131.82% |
| Jun 28, 2025 | 164.16% |
| Mar 29, 2025 | 243.96% |
| Dec 28, 2024 | 154.27% |
| Sep 28, 2024 | 139.49% |
| Jun 29, 2024 | 175.91% |
| Mar 30, 2024 | 275.51% |
| Dec 30, 2023 | 167.57% |
| Sep 30, 2023 | 135.51% |
| Jul 1, 2023 | 167.59% |
| Apr 1, 2023 | 240.31% |
| Dec 31, 2022 | 249.39% |
| Sep 24, 2022 | 283.38% |
| Jun 25, 2022 | 592.42% |
| Mar 26, 2022 | 618.07% |
| Dec 25, 2021 | 165.83% |
Winmark 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=WINA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "WINA", "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=WINA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();