Winmark (WINA) Change in Other Operating Liabilities (2010 - 2026)
Winmark (WINA) posted Change in Other Operating Liabilities of $27,700 for Q3 2026, up 75.3% from $15,800 a year earlier but down 77.8% from the prior quarter.
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Analysis
Winmark (WINA) Change in Other Operating Liabilities (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 26, 2026, Change in Other Operating Liabilities at Winmark was $95,500, down 70.2% year-over-year; for FY2025, it was $330,100, down 1.7% from FY2024.
- In prior years, Winmark's Change in Other Operating Liabilities was $335,700 in FY2024 (-22.0%), $430,300 in FY2023, -$709,600 in FY2022 and -$1.25 million in FY2021.
- Quarterly Change in Other Operating Liabilities has run from a low of -$357,100 in Q4 2021 to a high of $229,300 in Q1 2025 over five years.
- On a year-over-year basis, Change in Other Operating Liabilities increased in three of the last five quarters, with growth averaging 57.4%.
- The strongest year-over-year quarter for Change in Other Operating Liabilities in the past five years was Q1 2025, with growth of 292.6%; the weakest was Q3 2025, with a decline of 89.7%.
- According to Business Quant data, Change in Other Operating Liabilities for the three prior quarters was $125,000 (Q2 2026), -$55,800 (Q1 2026) and -$1,400 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Liabilities Change (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,680.19 Bn | 2,196.89 Bn | 104.83 Bn | -281.00 Mn |
| 2 | Home Depot | 317.07 Bn | 310.31 Bn | 16.12 Bn | 46.00 Mn |
| 3 | Tjx Companies | 160.41 Bn | 137.96 Bn | 5.07 Bn | 10.00 Mn |
| 4 | Lowes Companies | 111.29 Bn | 104.26 Bn | 8.58 Bn | 326.00 Mn |
| 5 | O Reilly Automotive | 74.86 Bn | 73.95 Bn | 2.52 Bn | - |
| 6 | Ross Stores | 73.00 Bn | 55.93 Bn | 2.12 Bn | 123.02 Mn |
| 7 | Target | 69.92 Bn | 64.51 Bn | 8.94 Bn | - |
| 8 | Autozone | 53.34 Bn | 52.24 Bn | 2.52 Bn | - |
| 9 | Carvana | 41.21 Bn | 31.70 Bn | 1.38 Bn | -10.00 Mn |
| 10 | Winmark | 1.00 Bn | 917.15 Mn | 19.32 Mn | 27,700.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 27,700.00 |
| Jun 27, 2026 | 125,000.00 |
| Mar 28, 2026 | -55,800.00 |
| Dec 27, 2025 | -1,400.00 |
| Sep 27, 2025 | 15,800.00 |
| Jun 28, 2025 | 86,400.00 |
| Mar 29, 2025 | 229,300.00 |
| Dec 28, 2024 | -11,400.00 |
| Sep 28, 2024 | 153,600.00 |
| Jun 29, 2024 | 135,100.00 |
| Mar 30, 2024 | 58,400.00 |
| Dec 30, 2023 | 68,700.00 |
| Sep 30, 2023 | 197,900.00 |
| Jul 1, 2023 | 60,200.00 |
| Apr 1, 2023 | 103,500.00 |
| Dec 31, 2022 | -318,100.00 |
| Sep 24, 2022 | 109,400.00 |
| Jun 25, 2022 | -298,100.00 |
| Mar 26, 2022 | -202,800.00 |
| Dec 25, 2021 | -357,100.00 |
API Access
Winmark Change in Other Operating 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=change-in-other-operating-liabilities&ticker=WINA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-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=change-in-other-operating-liabilities&ticker=WINA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();