Winmark (WINA) Interest Expenses (2009 - 2026)
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Analysis
Winmark (WINA) Interest Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 1.69 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 583.00 Mn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | - |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 98.00 Mn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | - |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 98.00 Mn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 81.85 Mn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | - |
| 10 | Winmark | 967.64 Mn | 883.72 Mn | 19.32 Mn | 610,300.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 610,300.00 |
| Jun 27, 2026 | 609,800.00 |
| Mar 28, 2026 | 613,900.00 |
| Dec 27, 2025 | 612,900.00 |
| Sep 27, 2025 | 610,300.00 |
| Jun 28, 2025 | 609,800.00 |
| Mar 29, 2025 | 613,900.00 |
| Dec 28, 2024 | 693,600.00 |
| Sep 28, 2024 | 704,100.00 |
| Jun 29, 2024 | 721,400.00 |
| Mar 30, 2024 | 737,700.00 |
| Dec 30, 2023 | 751,200.00 |
| Sep 30, 2023 | 763,100.00 |
| Jul 1, 2023 | 779,100.00 |
| Apr 1, 2023 | 797,600.00 |
| Dec 31, 2022 | 869,300.00 |
| Sep 24, 2022 | 820,500.00 |
| Jun 25, 2022 | 712,000.00 |
| Mar 26, 2022 | 513,100.00 |
| Dec 25, 2021 | 508,300.00 |
API Access
Winmark Interest Expenses 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=interest-expenses&ticker=WINA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=WINA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();