V F (VFC) Shares Outstanding (Diluted) (2009 - 2026)
V F's Weighted Average Shares Outstanding (Diluted) was 399.68 million in fiscal Q2 2027 (quarter ended Sep 26, 2026), up 1.4% from 393.99 million a year earlier and up 1.9% from the prior quarter.
V F (VFC) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2026 (ended Mar 28, 2026), Weighted Average Shares Outstanding (Diluted) at V F came in at 395.88 million, up 0.8% from FY2025.
- Weighted Average Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 0.2% (FY2021 to FY2026).
- In earlier fiscal years, Weighted Average Shares Outstanding (Diluted) was 392.57 million in FY2025 (+1.1%), 388.36 million in FY2024 (unchanged), 388.37 million in FY2023 (-1.0%) and 392.41 million in FY2022 (+0.1%).
- The fiscal Q2 2027 figure marks the highest quarterly Weighted Average Shares Outstanding (Diluted) since fiscal Q4 2020.
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) has increased for ten straight quarters, with growth averaging 0.9% over the last eight quarters.
- The best year-over-year quarter for Weighted Average Shares Outstanding (Diluted) over five years was fiscal Q2 2027 (growth of 1.4%); the worst was fiscal Q1 2023 (a decline of 1.7%).
- Per Business Quant data, VFC's Weighted Average Shares Outstanding (Diluted) in the three fiscal quarters before Q2 2027 was 392.11 million (Q1 2027), 395.88 million (Q4 2026) and 397.16 million (Q3 2026).
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 | Gildan Activewear | 6.61 Bn | 5.57 Bn | 624.95 Mn | 160.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 399.68 Mn |
| Jun 27, 2026 | 392.11 Mn |
| Mar 28, 2026 | 395.88 Mn |
| Dec 27, 2025 | 397.16 Mn |
| Sep 27, 2025 | 393.99 Mn |
| Jun 28, 2025 | 390.02 Mn |
| Mar 29, 2025 | 392.57 Mn |
| Dec 28, 2024 | 393.91 Mn |
| Sep 28, 2024 | 390.95 Mn |
| Jun 29, 2024 | 388.74 Mn |
| Mar 30, 2024 | 388.36 Mn |
| Dec 30, 2023 | 388.38 Mn |
| Sep 30, 2023 | 388.34 Mn |
| Jun 30, 2023 | 388.16 Mn |
| Apr 1, 2023 | 388.37 Mn |
| Dec 31, 2022 | 388.19 Mn |
| Sep 30, 2022 | 387.69 Mn |
| Jun 30, 2022 | 387.56 Mn |
| Apr 2, 2022 | 392.41 Mn |
| Dec 31, 2021 | 393.55 Mn |
V F 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=VFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "VFC", "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=VFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();