V F (VFC) Shares Outstanding (Diluted) (2009 - 2026)
V F's Shares Outstanding (Diluted) was 392.11 million in fiscal Q1 2027 (quarter ended Jun 27, 2026), up 0.5% from 390.02 million a year earlier but down 1.0% from the prior quarter.
V F (VFC) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2026 (ended Mar 28, 2026), Shares Outstanding (Diluted) at V F came in at 395.88 million, up 0.8% from FY2025.
- Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 0.2% (FY2021 to FY2026).
- In earlier fiscal years, 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%).
- Quarterly Shares Outstanding (Diluted) has moved between 387.56 million (fiscal Q1 2023) and 397.16 million (fiscal Q3 2026) over five years.
- Compared with a year earlier, Shares Outstanding (Diluted) has increased for nine straight quarters, with growth averaging 0.8% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was fiscal Q3 2025 (growth of 1.4%); the worst was fiscal Q1 2023 (a decline of 1.7%).
- Per Business Quant data, VFC's Shares Outstanding (Diluted) in the three fiscal quarters before Q1 2027 was 395.88 million (Q4 2026), 397.16 million (Q3 2026) and 393.99 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 1.48 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 210.20 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 61.30 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 144.29 Mn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 112.92 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 389.63 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 160.20 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 186.51 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 49.63 Mn |
| 10 | V F | 5.53 Bn | 2.15 Bn | 917.04 Mn | 392.11 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Jul 1, 2023 | 388.16 Mn |
| Apr 1, 2023 | 388.37 Mn |
| Dec 31, 2022 | 388.19 Mn |
| Oct 1, 2022 | 387.69 Mn |
| Jul 2, 2022 | 387.56 Mn |
| Apr 2, 2022 | 392.41 Mn |
| Jan 1, 2022 | 392.50 Mn |
| Oct 2, 2021 | 394.02 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();