Winmark (WINA) Depreciation & Amortization (CF) (2010 - 2026)
Winmark (WINA) posted Depreciation & Amortization (CF) of $211,600 for Q3 2026, up 12.7% from $187,700 a year earlier and up 17.0% from the prior quarter.
Winmark (WINA) Depreciation & Amortization (CF) (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 26, 2026, Depreciation & Amortization (CF) at Winmark was $761,900, up 1.7% year-over-year; for FY2025, it was $746,700, down 6.6% from FY2024.
- Annual Depreciation & Amortization (CF) shows a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- In prior years, Winmark's Depreciation & Amortization (CF) was $799,300 in FY2024 (+3.4%), $772,700 in FY2023 (+28.1%), $603,100 in FY2022 (+40.1%) and $430,600 in FY2021 (-11.2%).
- The Q3 2026 figure stands as the highest quarterly Depreciation & Amortization (CF) in data going back to Q3 2010.
- On a year-over-year basis, Depreciation & Amortization (CF) increased in 1 of the last eight quarters, with an average decline of 2.6%.
- The strongest year-over-year quarter for Depreciation & Amortization (CF) in the past five years was Q4 2022, with growth of 90.2%; the weakest was Q4 2021, with a decline of 13.7%.
- According to Business Quant data, Depreciation & Amortization (CF) for the three prior quarters was $180,900 (Q2 2026), $183,700 (Q1 2026) and $185,700 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,699.85 Bn | 2,216.54 Bn | 104.83 Bn | 19.99 Bn |
| 2 | Home Depot | 327.03 Bn | 320.28 Bn | 16.12 Bn | 929.00 Mn |
| 3 | Tjx Companies | 162.28 Bn | 139.83 Bn | 5.07 Bn | 340.00 Mn |
| 4 | Lowes Companies | 114.66 Bn | 107.62 Bn | 8.58 Bn | 648.00 Mn |
| 5 | Ross Stores | 75.66 Bn | 58.58 Bn | 2.12 Bn | 140.19 Mn |
| 6 | O Reilly Automotive | 75.09 Bn | 74.17 Bn | 2.52 Bn | 138.28 Mn |
| 7 | Target | 71.82 Bn | 66.41 Bn | 8.94 Bn | 784.00 Mn |
| 8 | Carvana | 64.53 Bn | 56.13 Bn | 1.38 Bn | 69.00 Mn |
| 9 | Autozone | 53.43 Bn | 52.33 Bn | 2.52 Bn | 160.29 Mn |
| 10 | Winmark | 1.02 Bn | 933.90 Mn | 19.32 Mn | 211,600.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 211,600.00 |
| Jun 27, 2026 | 180,900.00 |
| Mar 28, 2026 | 183,700.00 |
| Dec 27, 2025 | 185,700.00 |
| Sep 27, 2025 | 187,700.00 |
| Jun 28, 2025 | 187,600.00 |
| Mar 29, 2025 | 185,700.00 |
| Dec 28, 2024 | 188,200.00 |
| Sep 28, 2024 | 209,900.00 |
| Jun 29, 2024 | 204,400.00 |
| Mar 30, 2024 | 196,800.00 |
| Dec 30, 2023 | 193,800.00 |
| Sep 30, 2023 | 193,800.00 |
| Jul 1, 2023 | 192,600.00 |
| Apr 1, 2023 | 192,500.00 |
| Dec 31, 2022 | 193,600.00 |
| Sep 24, 2022 | 190,100.00 |
| Jun 25, 2022 | 116,900.00 |
| Mar 26, 2022 | 102,500.00 |
| Dec 25, 2021 | 101,800.00 |
Winmark Depreciation & Amortization (CF) 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-amortization-cf&ticker=WINA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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-amortization-cf&ticker=WINA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();