Winmark (WINA) Cash & Equivalents (2010 - 2026)
Winmark's Cash & Equivalents came in at $27.96 million for Q3 2026, down 29.6% from $39.73 million a year earlier but up 8.2% from the prior quarter.
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Analysis
Winmark (WINA) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Winmark's Cash & Equivalents was $10.3 million, down 15.5% from FY2024.
- Cash & Equivalents has declined in each of the last three years, though with a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $12.19 million in FY2024 (-8.8%), $13.36 million in FY2023 (-1.9%), $13.62 million in FY2022 (+19.4%) and $11.41 million in FY2021 (+71.3%).
- The five-year range for quarterly Cash & Equivalents is $287,500 (Q1 2022) to $40.56 million (Q3 2023).
- Year-over-year, Cash & Equivalents has declined for four consecutive quarters, with an average decline of 9.1% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q2 2023 (growth of 271.7%), and the weakest in Q1 2022 (a decline of 96.4%).
- Business Quant data shows WINA's Cash & Equivalents at $25.83 million (Q2 2026), $19.83 million (Q1 2026) and $10.3 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,674.18 Bn | 2,190.88 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 319.00 Bn | 312.24 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 159.67 Bn | 137.22 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 111.47 Bn | 104.43 Bn | 8.58 Bn | 3.17 Bn |
| 5 | O Reilly Automotive | 73.39 Bn | 72.48 Bn | 2.52 Bn | 262.18 Mn |
| 6 | Ross Stores | 73.30 Bn | 56.23 Bn | 2.12 Bn | 4.29 Bn |
| 7 | Target | 69.39 Bn | 63.98 Bn | 8.94 Bn | - |
| 8 | Carvana | 63.54 Bn | 55.14 Bn | 1.38 Bn | 2.63 Bn |
| 9 | Autozone | 52.26 Bn | 51.16 Bn | 2.52 Bn | 253.73 Mn |
| 10 | Winmark | 995.54 Mn | 911.62 Mn | 19.32 Mn | 27.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 27.96 Mn |
| Jun 27, 2026 | 25.83 Mn |
| Mar 28, 2026 | 19.83 Mn |
| Dec 27, 2025 | 10.30 Mn |
| Sep 27, 2025 | 39.73 Mn |
| Jun 28, 2025 | 28.77 Mn |
| Mar 29, 2025 | 21.83 Mn |
| Dec 28, 2024 | 12.19 Mn |
| Sep 28, 2024 | 37.20 Mn |
| Jun 29, 2024 | 29.40 Mn |
| Mar 30, 2024 | 22.87 Mn |
| Dec 30, 2023 | 13.36 Mn |
| Sep 30, 2023 | 40.56 Mn |
| Jul 1, 2023 | 32.32 Mn |
| Apr 1, 2023 | 24.55 Mn |
| Dec 31, 2022 | 13.62 Mn |
| Sep 24, 2022 | 16.99 Mn |
| Jun 25, 2022 | 8.70 Mn |
| Mar 26, 2022 | 287,500.00 |
| Dec 25, 2021 | 11.41 Mn |
API Access
Winmark Cash & Equivalents 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-and-equivalents&ticker=WINA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=WINA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();