Winmark (WINA) Return on Capital Employed [ROCE] (2011 - 2026)
Winmark's Return on Capital Employed [ROCE] was 172.94% in Q2 2026, up 8.78 percentage points from 164.16% a year earlier but down 79.79 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 three straight quarters, with an average year-over-year change of -4.35 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 Q2 2026 was 252.73% (Q1 2026), 162.24% (Q4 2025) and 131.82% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 11.49% |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 28.54% |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 34.00% |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 30.02% |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 30.97% |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 15.67% |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 18.45% |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 47.86% |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 33.85% |
| 10 | Winmark | 1.07 Bn | 972.14 Mn | 21.15 Mn | 172.94% |
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 25, 2021 | 163.37% |
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();