Winmark (WINA) Return on Sales [ROS] (2010 - 2026)
Winmark (WINA) posted Return on Sales [ROS] of 62.10% for Q2 2026, down 1.87 percentage points from 63.97% a year earlier but up 2.81 percentage points from the prior quarter.
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Analysis
Winmark (WINA) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Return on Sales [ROS] at Winmark was 62.33%, down 2.84 percentage points year-over-year; for FY2025, it came in at 63.44%, down 1.67 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +2.57 percentage points (FY2020 to FY2025).
- In prior years, Winmark's Return on Sales [ROS] was 65.11% in FY2024 (+1.11 pp), 64.01% in FY2023 (-1.85 pp), 65.85% in FY2022 (+0.22 pp) and 65.63% in FY2021 (+4.76 pp).
- Quarterly Return on Sales [ROS] has run from a low of 59.29% in Q1 2026 to a high of 69.40% in Q3 2024 over five years.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last five quarters, with an average year-over-year change of -0.83 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2024, with a gain of 2.84 percentage points; the weakest was Q1 2023, with a drop of 6.66 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 59.29% (Q1 2026), 61.71% (Q4 2025) and 65.94% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 17.62% |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 9.65% |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 9.22% |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 20.15% |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 19.08% |
| 10 | Winmark | 1.07 Bn | 972.14 Mn | 21.15 Mn | 62.10% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 62.10% |
| Mar 28, 2026 | 59.29% |
| Dec 27, 2025 | 61.71% |
| Sep 27, 2025 | 65.94% |
| Jun 28, 2025 | 63.97% |
| Mar 29, 2025 | 62.03% |
| Dec 28, 2024 | 65.31% |
| Sep 28, 2024 | 69.40% |
| Jun 29, 2024 | 64.70% |
| Mar 30, 2024 | 60.76% |
| Dec 30, 2023 | 62.47% |
| Sep 30, 2023 | 67.76% |
| Jul 1, 2023 | 65.08% |
| Apr 1, 2023 | 60.36% |
| Dec 31, 2022 | 63.42% |
| Sep 24, 2022 | 68.14% |
| Jun 25, 2022 | 64.79% |
| Mar 26, 2022 | 67.02% |
| Dec 25, 2021 | 63.38% |
| Sep 25, 2021 | 68.42% |
API Access
Winmark Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=WINA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=WINA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();