Winmark (WINA) Total Liabilities (2010 - 2026)
Winmark's Total Liabilities came in at $80.81 million for Q2 2026, up 1.0% from $80.01 million a year earlier but down 1.2% from the prior quarter.
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Analysis
Winmark (WINA) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Winmark's Total Liabilities was $78.57 million, up 0.9% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 13.0% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $77.89 million in FY2024 (-11.6%), $88.12 million in FY2023 (-4.3%), $92.09 million in FY2022 (+39.6%) and $65.98 million in FY2021 (+54.4%).
- The five-year range for quarterly Total Liabilities is $65.98 million (Q4 2021) to $95.83 million (Q2 2022).
- Year-over-year, Total Liabilities increased in two of the last eight quarters, with an average decline of 4.9%.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2022 (growth of 141.0%), and the weakest in Q4 2024 (a decline of 11.6%).
- Business Quant data shows WINA's Total Liabilities at $81.81 million (Q1 2026), $78.57 million (Q4 2025) and $80.09 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | 9.24 Bn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 19.22 Bn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 43.39 Bn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | 23.70 Bn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 9.41 Bn |
| 10 | Winmark | 1.01 Bn | 924.79 Mn | 19.32 Mn | 82.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 82.43 Mn |
| Jun 27, 2026 | 80.81 Mn |
| Mar 28, 2026 | 81.81 Mn |
| Dec 27, 2025 | 78.57 Mn |
| Sep 27, 2025 | 80.09 Mn |
| Jun 28, 2025 | 80.01 Mn |
| Mar 29, 2025 | 83.00 Mn |
| Dec 28, 2024 | 77.89 Mn |
| Sep 28, 2024 | 85.70 Mn |
| Jun 29, 2024 | 86.91 Mn |
| Mar 30, 2024 | 90.92 Mn |
| Dec 30, 2023 | 88.12 Mn |
| Sep 30, 2023 | 90.11 Mn |
| Jul 1, 2023 | 91.27 Mn |
| Apr 1, 2023 | 93.79 Mn |
| Dec 31, 2022 | 92.09 Mn |
| Sep 24, 2022 | 94.17 Mn |
| Jun 25, 2022 | 95.83 Mn |
| Mar 26, 2022 | 81.04 Mn |
| Dec 25, 2021 | 65.98 Mn |
API Access
Winmark Total Liabilities 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=total-liabilities&ticker=WINA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=WINA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();