Winmark (WINA) Cost of Revenue (2010 - 2026)
Winmark (WINA) posted Cost of Revenue of $818,500 for Q2 2026, up 6.8% from $766,500 a year earlier and up 32.3% from the prior quarter.
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Analysis
Winmark (WINA) Cost of Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Cost of Revenue at Winmark was $2.89 million, down 7.9% year-over-year; for FY2025, it was $3.1 million, down 8.1% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- In prior years, Winmark's Cost of Revenue was $3.38 million in FY2024 (-24.3%), $4.46 million in FY2023 (+20.2%), $3.71 million in FY2022 (+26.3%) and $2.94 million in FY2021 (+39.8%).
- The Q2 2026 figure stands as the highest quarterly Cost of Revenue since Q1 2025.
- On a year-over-year basis, Cost of Revenue increased in two of the last eight quarters, with an average decline of 13.4%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q4 2021, with growth of 138.2%; the weakest was Q2 2024, with a decline of 31.0%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $618,500 (Q1 2026), $786,300 (Q4 2025) and $663,300 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 95.78 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 31.75 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 10.11 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 17.38 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.15 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 17.60 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 5.99 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 2.38 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 2.32 Bn |
| 10 | Winmark | 1.07 Bn | 972.14 Mn | 21.15 Mn | 818,500.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 818,500.00 |
| Mar 28, 2026 | 618,500.00 |
| Dec 27, 2025 | 786,300.00 |
| Sep 27, 2025 | 663,300.00 |
| Jun 28, 2025 | 766,500.00 |
| Mar 29, 2025 | 888,300.00 |
| Dec 28, 2024 | 816,600.00 |
| Sep 28, 2024 | 662,500.00 |
| Jun 29, 2024 | 861,100.00 |
| Mar 30, 2024 | 1.04 Mn |
| Dec 30, 2023 | 1.09 Mn |
| Sep 30, 2023 | 935,400.00 |
| Jul 1, 2023 | 1.25 Mn |
| Apr 1, 2023 | 1.19 Mn |
| Dec 31, 2022 | 1.16 Mn |
| Sep 24, 2022 | 717,600.00 |
| Jun 25, 2022 | 970,200.00 |
| Mar 26, 2022 | 864,500.00 |
| Dec 25, 2021 | 1.05 Mn |
| Sep 25, 2021 | 681,100.00 |
API Access
Winmark Cost of Revenue 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=cost-of-revenue&ticker=WINA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=WINA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();