Winmark (WINA) Depreciation and Depletion (2023 - 2026)
Winmark's Depreciation and Depletion was $93,700 in Q3 2026, down 5.5% from $99,200 a year earlier but up 1.4% from the prior quarter.
Winmark (WINA) Depreciation and Depletion (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Winmark's Depreciation and Depletion was $378,500 through Sep 26, 2026, down 4.2% year-over-year; for FY2025, it came in at $392,700, down 11.8% from FY2024.
- Depreciation and Depletion shows a four-year compound annual growth rate of -2.3% (FY2021 to FY2025).
- In earlier years, Depreciation and Depletion was $445,300 in FY2024 (+6.4%), $418,700 in FY2023 (+1.8%), $411,400 in FY2022 (-4.5%) and $430,600 in FY2021.
- Quarterly Depreciation and Depletion has moved between $92,400 (Q2 2026) and $121,300 (Q3 2024) over five years.
- Compared with a year earlier, Depreciation and Depletion has declined for eight straight quarters, with an average decline of 8.2% over the last eight quarters.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q3 2024 (growth of 15.2%); the worst was Q3 2025 (a decline of 18.2%).
- Per Business Quant data, WINA's Depreciation and Depletion in the three quarters before Q3 2026 was $92,400 (Q2 2026), $95,200 (Q1 2026) and $97,200 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 15.14 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 339.00 Mn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | - |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | - |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | - |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | - |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | - |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | - |
| 10 | Winmark | 967.64 Mn | 883.72 Mn | 19.32 Mn | 93,700.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 93,700.00 |
| Jun 27, 2026 | 92,400.00 |
| Mar 28, 2026 | 95,200.00 |
| Dec 27, 2025 | 97,200.00 |
| Sep 27, 2025 | 99,200.00 |
| Jun 28, 2025 | 99,100.00 |
| Mar 29, 2025 | 97,200.00 |
| Dec 28, 2024 | 99,700.00 |
| Sep 28, 2024 | 121,300.00 |
| Jun 29, 2024 | 116,000.00 |
| Mar 30, 2024 | 108,300.00 |
| Dec 30, 2023 | 105,300.00 |
| Sep 30, 2023 | 105,300.00 |
| Jul 1, 2023 | 104,100.00 |
| Apr 1, 2023 | 104,000.00 |
Winmark Depreciation and Depletion 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=depreciation-and-depletion&ticker=WINA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=WINA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();