Winmark (WINA) Other Accumulated Expenses (2011 - 2025)
Winmark (WINA) posted Other Accumulated Expenses of $164,900 for Q4 2025, down 26.3% from $223,800 a year earlier.
Analysis
Winmark (WINA) Other Accumulated Expenses (2011 - 2025) Analysis & Trends
Since Q4 2011, Winmark has reported Other Accumulated Expenses for 15 quarters.
- Annual Other Accumulated Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -28.5% (FY2020 to FY2025).
- In prior years, Winmark's Other Accumulated Expenses was $223,800 in FY2024 (-72.0%), $799,100 in FY2023 (-11.5%), $902,800 in FY2022 (+456.6%) and $162,200 in FY2021 (-81.6%).
- The Q4 2025 figure stands as the lowest quarterly Other Accumulated Expenses since Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn |
| 10 | Winmark | 1.07 Bn | 972.14 Mn | 21.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 27, 2025 | 164,900.00 |
| Dec 28, 2024 | 223,800.00 |
| Dec 30, 2023 | 799,100.00 |
| Dec 31, 2022 | 902,800.00 |
| Dec 25, 2021 | 162,200.00 |
| Dec 26, 2020 | 879,800.00 |
| Dec 28, 2019 | 1.11 Mn |
| Dec 29, 2018 | 611,800.00 |
| Dec 30, 2017 | 357,100.00 |
| Dec 31, 2016 | 311,700.00 |
| Dec 26, 2015 | 956,600.00 |
| Dec 27, 2014 | 810,200.00 |
| Dec 28, 2013 | 666,300.00 |
| Dec 29, 2012 | 666,000.00 |
| Dec 31, 2011 | 638,300.00 |
API Access
Winmark Other Accumulated 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=other-accumulated-expenses&ticker=WINA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=WINA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();