Winmark (WINA) Accumulated Expenses (2010 - 2026)
Winmark (WINA) recorded Accumulated Expenses of $6.61 million in Q3 2026, up 57.6% from $4.2 million a year earlier and up 49.5% from the prior quarter.
Winmark (WINA) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Winmark reported Accumulated Expenses of $2.32 million, up 24.6% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of -2.4% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $1.87 million in FY2024 (-34.7%), $2.86 million in FY2023 (+9.4%), $2.61 million in FY2022 (+30.5%) and $2 million in FY2021 (-23.7%).
- The Q3 2026 figure is the highest quarterly Accumulated Expenses in data going back to Q4 2010.
- On a year-over-year basis, Accumulated Expenses has increased for six consecutive quarters, with growth averaging 8.4% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 57.6% in Q3 2026, against a decline of 34.7% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.42 million (Q2 2026), $4.5 million (Q1 2026) and $2.32 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,699.85 Bn | 2,216.54 Bn | 104.83 Bn |
| 2 | Home Depot | 327.03 Bn | 320.28 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.28 Bn | 139.83 Bn | 5.07 Bn |
| 4 | Lowes Companies | 114.66 Bn | 107.62 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.66 Bn | 58.58 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 75.09 Bn | 74.17 Bn | 2.52 Bn |
| 7 | Target | 71.82 Bn | 66.41 Bn | 8.94 Bn |
| 8 | Carvana | 64.53 Bn | 56.13 Bn | 1.38 Bn |
| 9 | Autozone | 53.43 Bn | 52.33 Bn | 2.52 Bn |
| 10 | Winmark | 1.02 Bn | 933.90 Mn | 19.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 6.61 Mn |
| Jun 27, 2026 | 4.42 Mn |
| Mar 28, 2026 | 4.50 Mn |
| Dec 27, 2025 | 2.32 Mn |
| Sep 27, 2025 | 4.20 Mn |
| Jun 28, 2025 | 4.15 Mn |
| Mar 29, 2025 | 3.60 Mn |
| Dec 28, 2024 | 1.87 Mn |
| Sep 28, 2024 | 3.78 Mn |
| Jun 29, 2024 | 4.09 Mn |
| Mar 30, 2024 | 4.73 Mn |
| Dec 30, 2023 | 2.86 Mn |
| Sep 30, 2023 | 4.04 Mn |
| Jul 1, 2023 | 4.27 Mn |
| Apr 1, 2023 | 3.88 Mn |
| Dec 31, 2022 | 2.61 Mn |
| Sep 24, 2022 | 3.87 Mn |
| Jun 25, 2022 | 4.56 Mn |
| Mar 26, 2022 | 2.52 Mn |
| Dec 25, 2021 | 2.00 Mn |
Winmark 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=accumulated-expenses&ticker=WINA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=WINA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();