Winmark (WINA) Total Non-Current Liabilities (2010 - 2026)
Winmark's Total Non-Current Liabilities was $72.61 million in Q2 2026, down 0.5% from $73.01 million a year earlier and down 0.1% from the prior quarter.
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Analysis
Winmark (WINA) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Winmark came in at $72.9 million, up 0.1% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 18.4% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $72.8 million in FY2024 (-6.3%), $77.66 million in FY2023 (-4.7%), $81.49 million in FY2022 (+45.5%) and $56 million in FY2021 (+78.7%).
- The Q2 2026 figure marks the lowest quarterly Total Non-Current Liabilities since Q1 2022.
- Compared with a year earlier, Total Non-Current Liabilities was higher in 1 of the last eight quarters, with an average decline of 2.8%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2022 (growth of 193.1%); the worst was Q4 2024 (a decline of 6.3%).
- Per Business Quant data, WINA's Total Non-Current Liabilities in the three quarters before Q2 2026 was $72.68 million (Q1 2026), $72.9 million (Q4 2025) and $72.86 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 464.51 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 89.94 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | 25.30 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | 62.52 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | 8.94 Bn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 18.95 Bn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 22.21 Bn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | 22.81 Bn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 5.05 Bn |
| 10 | Winmark | 1.01 Bn | 924.79 Mn | 19.32 Mn | 72.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 72.23 Mn |
| Jun 27, 2026 | 72.61 Mn |
| Mar 28, 2026 | 72.68 Mn |
| Dec 27, 2025 | 72.90 Mn |
| Sep 27, 2025 | 72.86 Mn |
| Jun 28, 2025 | 73.01 Mn |
| Mar 29, 2025 | 73.31 Mn |
| Dec 28, 2024 | 72.80 Mn |
| Sep 28, 2024 | 75.15 Mn |
| Jun 29, 2024 | 75.46 Mn |
| Mar 30, 2024 | 76.54 Mn |
| Dec 30, 2023 | 77.66 Mn |
| Sep 30, 2023 | 78.48 Mn |
| Jul 1, 2023 | 79.46 Mn |
| Apr 1, 2023 | 80.57 Mn |
| Dec 31, 2022 | 81.49 Mn |
| Sep 24, 2022 | 82.52 Mn |
| Jun 25, 2022 | 83.53 Mn |
| Mar 26, 2022 | 68.39 Mn |
| Dec 25, 2021 | 56.00 Mn |
API Access
Winmark Total Non-Current 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-non-current-liabilities&ticker=WINA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=WINA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();