Winmark (WINA) Buildings (2010 - 2025)
Winmark's Buildings was $2.98 million in Q4 2025, up 1.1% from $2.95 million a year earlier.
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Analysis
Winmark (WINA) Buildings (2010 - 2025) Analysis & Trends
From Q4 2010 onward, Winmark has reported Buildings for 16 quarters.
- Buildings shows a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- In earlier years, Buildings was $2.95 million in FY2024 (unchanged), $2.95 million in FY2023 (unchanged), $2.95 million in FY2022 (unchanged) and $2.95 million in FY2021 (unchanged).
- The Q4 2025 figure marks the highest quarterly Buildings in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn |
| 10 | Winmark | 1.01 Bn | 924.79 Mn | 19.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 27, 2025 | 2.98 Mn |
| Dec 28, 2024 | 2.95 Mn |
| Dec 30, 2023 | 2.95 Mn |
| Dec 31, 2022 | 2.95 Mn |
| Dec 25, 2021 | 2.95 Mn |
| Dec 26, 2020 | 2.95 Mn |
| Dec 28, 2019 | 2.96 Mn |
| Dec 29, 2018 | 1.47 Mn |
| Dec 30, 2017 | 1.45 Mn |
| Dec 31, 2016 | 1.45 Mn |
| Dec 26, 2015 | 1.44 Mn |
| Dec 27, 2014 | 1.43 Mn |
| Dec 28, 2013 | 1.42 Mn |
| Dec 29, 2012 | 1.17 Mn |
| Dec 31, 2011 | 1.17 Mn |
| Dec 25, 2010 | 1.17 Mn |
API Access
Winmark Buildings 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=buildings&ticker=WINA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=WINA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();