Weyco (WEYS) Shares Outstanding (Diluted) (2009 - 2026)
Weyco (WEYS) recorded Shares Outstanding (Diluted) of 9.56 million in Q2 2026, unchanged from 9.56 million a year earlier and up 0.5% from the prior quarter.
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Analysis
Weyco (WEYS) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Weyco reported Shares Outstanding (Diluted) of 9.57 million, down 0.4% from FY2024.
- Annual Shares Outstanding (Diluted) has a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 9.6 million in FY2024 (+0.7%), 9.54 million in FY2023 (-0.9%), 9.62 million in FY2022 (-0.7%) and 9.69 million in FY2021 (-0.7%).
- Quarterly Shares Outstanding (Diluted) has ranged from 9.51 million in Q1 2026 to 9.7 million in Q3 2021 over the past five years.
- On a year-over-year basis, Shares Outstanding (Diluted) rose in four of the last eight quarters, with an average year-over-year change of 0.0%.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 0.9% in Q1 2025, against a decline of 1.6% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 9.51 million (Q1 2026), 9.57 million (Q4 2025) and 9.54 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.42 Bn | 23.62 Bn | 4.80 Bn | 1.48 Bn |
| 2 | Tapestry | 26.82 Bn | 22.74 Bn | 1.49 Bn | 204.50 Mn |
| 3 | Ralph Lauren | 24.00 Bn | 15.93 Bn | 1.63 Bn | 60.90 Mn |
| 4 | Deckers Outdoor | 12.00 Bn | 5.20 Bn | 895.11 Mn | 135.30 Mn |
| 5 | Lululemon Athletica | 11.76 Bn | 6.01 Bn | 1.46 Bn | 112.92 Mn |
| 6 | Levi Strauss | 9.42 Bn | 6.00 Bn | 1.07 Bn | 390.62 Mn |
| 7 | V F | 8.17 Bn | 4.76 Bn | 1.49 Bn | 399.68 Mn |
| 8 | Crocs | 7.38 Bn | 6.78 Bn | 689.73 Mn | 47.95 Mn |
| 9 | Birkenstock Holding | 6.85 Bn | 5.17 Bn | 493.89 Mn | 186.51 Mn |
| 10 | Weyco | 58.63 Mn | -318.28 Mn | 38.26 Mn | 1.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.07 Mn |
| Jun 30, 2026 | 1.06 Mn |
| Mar 31, 2026 | 1.06 Mn |
| Dec 31, 2025 | 1.06 Mn |
| Sep 30, 2025 | 1.06 Mn |
| Jun 30, 2025 | 1.06 Mn |
| Mar 31, 2025 | 1.07 Mn |
| Dec 31, 2024 | 1.07 Mn |
| Sep 30, 2024 | 1.07 Mn |
| Jun 30, 2024 | 1.06 Mn |
| Mar 31, 2024 | 1.06 Mn |
| Dec 31, 2023 | 1.06 Mn |
| Sep 30, 2023 | 1.06 Mn |
| Jun 30, 2023 | 1.06 Mn |
| Mar 31, 2023 | 1.06 Mn |
| Dec 31, 2022 | 1.07 Mn |
| Sep 30, 2022 | 1.07 Mn |
| Jun 30, 2022 | 1.07 Mn |
| Mar 31, 2022 | 1.07 Mn |
| Dec 31, 2021 | 1.08 Mn |
API Access
Weyco 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=WEYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "WEYS", "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=WEYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();