Winmark (WINA) Return on Assets [ROA] (2011 - 2026)
Winmark (WINA) posted Return on Assets [ROA] of 93.91% for Q3 2026, up 8.74 percentage points from 85.18% a year earlier but down 9.52 percentage points from the prior quarter.
Powered by 
Analysis
Winmark (WINA) Return on Assets [ROA] (2011 - 2026) Analysis & Trends
For FY2025, Winmark's Return on Assets [ROA] came in at 161.05%, up 17.87 percentage points from FY2024.
- Annual Return on Assets [ROA] shows a five-year change of +97.04 percentage points (FY2020 to FY2025).
- In prior years, Winmark's Return on Assets [ROA] was 143.17% in FY2024 (+7.95 pp), 135.23% in FY2023 (-2.25 pp), 137.48% in FY2022 (+0.40 pp) and 137.08% in FY2021 (+73.07 pp).
- Quarterly Return on Assets [ROA] has run from a low of 78.75% in Q3 2023 to a high of 191.90% in Q1 2022 over five years.
- On a year-over-year basis, Return on Assets [ROA] has increased in each of the last 11 quarters, with an average year-over-year change of +5.63 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was Q1 2022, with a gain of 89.33 percentage points; the weakest was Q2 2023, with a drop of 100.42 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior quarters was 103.43% (Q2 2026), 135.42% (Q1 2026) and 105.95% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 11.53% |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 13.10% |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 16.56% |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 11.99% |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 15.81% |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 16.86% |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 7.42% |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 15.49% |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 12.09% |
| 10 | Winmark | 967.64 Mn | 883.72 Mn | 19.32 Mn | 93.91% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 93.91% |
| Jun 27, 2026 | 103.43% |
| Mar 28, 2026 | 135.42% |
| Dec 27, 2025 | 105.95% |
| Sep 27, 2025 | 85.18% |
| Jun 28, 2025 | 102.85% |
| Mar 29, 2025 | 128.60% |
| Dec 28, 2024 | 101.41% |
| Sep 28, 2024 | 82.97% |
| Jun 29, 2024 | 96.64% |
| Mar 30, 2024 | 119.03% |
| Dec 30, 2023 | 95.08% |
| Sep 30, 2023 | 78.75% |
| Jul 1, 2023 | 91.20% |
| Apr 1, 2023 | 109.72% |
| Dec 31, 2022 | 122.85% |
| Sep 24, 2022 | 134.37% |
| Jun 25, 2022 | 191.62% |
| Mar 26, 2022 | 191.90% |
| Dec 25, 2021 | 97.52% |
API Access
Winmark Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=WINA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=WINA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();