Winmark (WINA) Shares Outstanding (Diluted) (2010 - 2026)
Winmark (WINA) posted Weighted Average Shares Outstanding (Diluted) of 3.69 million for Q3 2026, down 0.2% from 3.69 million a year earlier and down 0.3% from the prior quarter.
Winmark (WINA) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
Since Q2 2010, Winmark has reported Weighted Average Shares Outstanding (Diluted) for 66 quarters.
- Annual Weighted Average Shares Outstanding (Diluted) has increased for three consecutive years, though with a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- In prior years, Winmark's Weighted Average Shares Outstanding (Diluted) was 3.67 million in FY2024 (+0.7%), 3.64 million in FY2023 (+1.3%), 3.59 million in FY2022 (-5.7%) and 3.81 million in FY2021 (-1.4%).
- Quarterly Weighted Average Shares Outstanding (Diluted) has run from a low of 3.54 million in Q3 2022 to a high of 3.81 million in Q4 2021 over five years.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) increased in seven of the last eight quarters, with growth averaging 0.5%.
- The strongest year-over-year quarter for Weighted Average Shares Outstanding (Diluted) in the past five years was Q3 2023, with growth of 3.2%; the weakest was Q2 2022, with a decline of 7.1%.
- According to Business Quant data, Weighted Average Shares Outstanding (Diluted) for the three prior quarters was 3.7 million (Q2 2026), 3.71 million (Q1 2026) and 3.69 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,699.85 Bn | 2,216.54 Bn | 104.83 Bn | 10.90 Bn |
| 2 | Home Depot | 327.03 Bn | 320.28 Bn | 16.12 Bn | 996.00 Mn |
| 3 | Tjx Companies | 162.28 Bn | 139.83 Bn | 5.07 Bn | 1.12 Bn |
| 4 | Lowes Companies | 114.66 Bn | 107.62 Bn | 8.58 Bn | 560.00 Mn |
| 5 | Ross Stores | 75.66 Bn | 58.58 Bn | 2.12 Bn | 319.45 Mn |
| 6 | O Reilly Automotive | 75.09 Bn | 74.17 Bn | 2.52 Bn | 828.88 Mn |
| 7 | Target | 71.82 Bn | 66.41 Bn | 8.94 Bn | 456.60 Mn |
| 8 | Carvana | 64.53 Bn | 56.13 Bn | 1.38 Bn | 739.96 Mn |
| 9 | Autozone | 53.43 Bn | 52.33 Bn | 2.52 Bn | 16.85 Mn |
| 10 | Winmark | 1.02 Bn | 933.90 Mn | 19.32 Mn | 3.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 3.69 Mn |
| Jun 27, 2026 | 3.70 Mn |
| Mar 28, 2026 | 3.71 Mn |
| Dec 27, 2025 | 3.69 Mn |
| Sep 27, 2025 | 3.69 Mn |
| Jun 28, 2025 | 3.67 Mn |
| Mar 29, 2025 | 3.67 Mn |
| Dec 28, 2024 | 3.67 Mn |
| Sep 28, 2024 | 3.67 Mn |
| Jun 29, 2024 | 3.66 Mn |
| Mar 30, 2024 | 3.66 Mn |
| Dec 30, 2023 | 3.64 Mn |
| Sep 30, 2023 | 3.65 Mn |
| Jul 1, 2023 | 3.63 Mn |
| Apr 1, 2023 | 3.59 Mn |
| Dec 31, 2022 | 3.59 Mn |
| Sep 24, 2022 | 3.54 Mn |
| Jun 25, 2022 | 3.56 Mn |
| Mar 26, 2022 | 3.72 Mn |
| Dec 25, 2021 | 3.81 Mn |
Winmark Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=WINA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=WINA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();