Winmark (WINA) Cash from Operations (2010 - 2026)
Winmark (WINA) posted Cash from Operations of $10.73 million for Q2 2026, up 18.6% from $9.04 million a year earlier but down 9.7% from the prior quarter.
Winmark (WINA) Cash from Operations (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Cash from Operations at Winmark was $43.38 million, down 2.9% year-over-year; for FY2025, it was $44.9 million, up 6.5% from FY2024.
- Annual Cash from Operations shows a five-year compound annual growth rate of 0.8% (FY2020 to FY2025).
- In prior years, Winmark's Cash from Operations was $42.16 million in FY2024 (-4.2%), $43.99 million in FY2023 (+0.5%), $43.79 million in FY2022 (-9.4%) and $48.35 million in FY2021 (+11.9%).
- Quarterly Cash from Operations has run from a low of $8.22 million in Q2 2024 to a high of $15.08 million in Q1 2025 over five years.
- On a year-over-year basis, Cash from Operations increased in six of the last eight quarters, with growth averaging 2.4%.
- The strongest year-over-year quarter for Cash from Operations in the past five years was Q3 2021, with growth of 39.8%; the weakest was Q4 2022, with a decline of 27.9%.
- According to Business Quant data, Cash from Operations for the three prior quarters was $11.88 million (Q1 2026), $8.52 million (Q4 2025) and $12.25 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 45.39 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 5.39 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | 2.23 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | 3.66 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | 875.76 Mn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 1.01 Bn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 3.80 Bn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | 801.99 Mn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 238.00 Mn |
| 10 | Winmark | 1.01 Bn | 924.79 Mn | 19.32 Mn | 12.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 12.94 Mn |
| Jun 27, 2026 | 10.73 Mn |
| Mar 28, 2026 | 11.88 Mn |
| Dec 27, 2025 | 8.52 Mn |
| Sep 27, 2025 | 12.25 Mn |
| Jun 28, 2025 | 9.04 Mn |
| Mar 29, 2025 | 15.08 Mn |
| Dec 28, 2024 | 8.46 Mn |
| Sep 28, 2024 | 12.11 Mn |
| Jun 29, 2024 | 8.22 Mn |
| Mar 30, 2024 | 13.36 Mn |
| Dec 30, 2023 | 8.76 Mn |
| Sep 30, 2023 | 12.08 Mn |
| Jul 1, 2023 | 9.30 Mn |
| Apr 1, 2023 | 13.85 Mn |
| Dec 31, 2022 | 9.58 Mn |
| Sep 24, 2022 | 11.84 Mn |
| Jun 25, 2022 | 9.02 Mn |
| Mar 26, 2022 | 13.35 Mn |
| Dec 25, 2021 | 13.30 Mn |
Winmark Cash from Operations 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=cash-from-operations&ticker=WINA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=WINA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();