Winmark (WINA) Depreciation and Depletion (2023 - 2026)
Winmark's Depreciation and Depletion was $92,400 in Q2 2026, down 6.8% from $99,100 a year earlier and down 2.9% 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 $384,000 through Jun 27, 2026, down 8.0% 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.
- The Q2 2026 figure marks the lowest quarterly Depreciation and Depletion in data going back to Q1 2023.
- Compared with a year earlier, Depreciation and Depletion has declined for seven straight quarters, with an average decline of 5.6% 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 Q2 2026 was $95,200 (Q1 2026), $97,200 (Q4 2025) and $99,200 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 13.87 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 | 339.00 Mn |
| 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 | 92,400.00 |
Historic Data
| Date | Value |
|---|---|
| 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();