Winmark (WINA) Non Operating Interest Expenses (2009 - 2026)
Winmark's Non Operating Interest Expenses came in at $610,300 for Q3 2026, unchanged from $610,300 a year earlier and up 0.1% from the prior quarter.
Powered by 
Analysis
Winmark (WINA) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 26, 2026, Winmark reported Non Operating Interest Expenses of $2.45 million, down 3.2% year-over-year; for FY2025, it was $2.45 million, down 14.4% from FY2024.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- Going back by year, Non Operating Interest Expenses was $2.86 million in FY2024 (-7.6%), $3.09 million in FY2023 (+6.0%), $2.91 million in FY2022 (+100.5%) and $1.45 million in FY2021 (-16.3%).
- The five-year range for quarterly Non Operating Interest Expenses is $508,300 (Q4 2021) to $869,300 (Q4 2022).
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q3 2022 (growth of 153.9%), and the weakest in Q1 2025 (a decline of 16.8%).
- Business Quant data shows WINA's Non Operating Interest Expenses at $609,800 (Q2 2026), $613,900 (Q1 2026) and $612,900 (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 Non Operating 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=non-operating-interest-expenses&ticker=WINA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=WINA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();