Winmark (WINA) Tax Provisions (2010 - 2026)
Winmark (WINA) recorded Tax Provisions of $2.79 million in Q2 2026, up 32.7% from $2.1 million a year earlier and up 6.9% from the prior quarter.
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Analysis
Winmark (WINA) Tax Provisions (2010 - 2026) Analysis & Trends
On a TTM basis, Winmark's Tax Provisions came in at $11.6 million as of Jun 27, 2026, up 0.4% year-over-year; for FY2025, it was $11.48 million, up 1.9% from FY2024.
- Annual Tax Provisions has a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- Across earlier years, Tax Provisions came in at $11.27 million in FY2024 (+0.8%), $11.18 million in FY2023 (-1.5%), $11.36 million in FY2022 (+14.2%) and $9.95 million in FY2021 (+14.4%).
- Quarterly Tax Provisions has ranged from $807,900 in Q4 2021 to $3.6 million in Q3 2023 over the past five years.
- On a year-over-year basis, Tax Provisions rose in three of the last eight quarters, with growth averaging 4.3%.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 200.9% in Q4 2022, against a decline of 68.1% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.61 million (Q1 2026), $2.71 million (Q4 2025) and $3.49 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 18.20 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 1.55 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | 498.00 Mn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | 776.00 Mn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | 283.46 Mn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 209.01 Mn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 582.00 Mn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | 171.78 Mn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 66.00 Mn |
| 10 | Winmark | 1.01 Bn | 924.79 Mn | 19.32 Mn | 3.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 3.60 Mn |
| Jun 27, 2026 | 2.79 Mn |
| Mar 28, 2026 | 2.61 Mn |
| Dec 27, 2025 | 2.71 Mn |
| Sep 27, 2025 | 3.49 Mn |
| Jun 28, 2025 | 2.10 Mn |
| Mar 29, 2025 | 3.18 Mn |
| Dec 28, 2024 | 2.78 Mn |
| Sep 28, 2024 | 3.49 Mn |
| Jun 29, 2024 | 2.15 Mn |
| Mar 30, 2024 | 2.85 Mn |
| Dec 30, 2023 | 2.42 Mn |
| Sep 30, 2023 | 3.60 Mn |
| Jul 1, 2023 | 2.40 Mn |
| Apr 1, 2023 | 2.77 Mn |
| Dec 31, 2022 | 2.43 Mn |
| Sep 24, 2022 | 3.25 Mn |
| Jun 25, 2022 | 2.60 Mn |
| Mar 26, 2022 | 3.07 Mn |
| Dec 25, 2021 | 807,900.00 |
API Access
Winmark Tax Provisions 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=tax-provisions&ticker=WINA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=WINA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();