V F (VFC) Shares Outstanding (2009 - 2026)
V F (VFC) recorded Shares Outstanding of 392.11 million in fiscal Q1 2027 (quarter ended Jun 27, 2026), up 0.5% from 390.02 million a year earlier and up 0.4% from the prior quarter.
V F (VFC) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2026 (ended Mar 28, 2026), V F reported Shares Outstanding of 390.74 million, up 0.4% from FY2025.
- Annual Shares Outstanding has increased for three straight fiscal years, with a five-year compound annual growth rate of 0.1% (FY2021 to FY2026).
- Across earlier fiscal years, Shares Outstanding came in at 389.15 million in FY2025 (+0.2%), 388.36 million in FY2024 (+0.2%), 387.76 million in FY2023 (-0.6%) and 390.29 million in FY2022 (+0.2%).
- The fiscal Q1 2027 figure is the highest quarterly Shares Outstanding since fiscal Q4 2020.
- On a year-over-year basis, Shares Outstanding has increased for 13 consecutive quarters, with growth averaging 0.3% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding in the last five years was growth of 0.7% in fiscal Q2 2022, against a decline of 1.0% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 390.74 million (Q4 2026), 390.92 million (Q3 2026) and 390.65 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.71 Bn | 21.91 Bn | 4.80 Bn | 1.48 Bn |
| 2 | Tapestry | 23.90 Bn | 19.86 Bn | 1.56 Bn | 204.00 Mn |
| 3 | Ralph Lauren | 22.88 Bn | 14.97 Bn | 1.44 Bn | 60.10 Mn |
| 4 | Deckers Outdoor | 12.35 Bn | 5.22 Bn | - | 144.08 Mn |
| 5 | Lululemon Athletica | 11.00 Bn | 5.25 Bn | 1.46 Bn | 112.90 Mn |
| 6 | Levi Strauss | 8.14 Bn | 4.72 Bn | 1.07 Bn | 386.08 Mn |
| 7 | V F | 6.80 Bn | 3.42 Bn | 917.04 Mn | 392.11 Mn |
| 8 | Gildan Activewear | 6.54 Bn | 5.46 Bn | 459.76 Mn | 160.16 Mn |
| 9 | Birkenstock Holding | 6.14 Bn | 4.46 Bn | 493.89 Mn | 186.51 Mn |
| 10 | Crocs | 5.90 Bn | 5.32 Bn | 700.71 Mn | 49.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 392.11 Mn |
| Mar 28, 2026 | 390.74 Mn |
| Dec 27, 2025 | 390.92 Mn |
| Sep 27, 2025 | 390.65 Mn |
| Jun 28, 2025 | 390.02 Mn |
| Mar 29, 2025 | 389.15 Mn |
| Dec 28, 2024 | 389.22 Mn |
| Sep 28, 2024 | 389.04 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 | 387.76 Mn |
| Dec 31, 2022 | 387.74 Mn |
| Oct 1, 2022 | 387.69 Mn |
| Jul 2, 2022 | 387.56 Mn |
| Apr 2, 2022 | 390.29 Mn |
| Jan 1, 2022 | 390.43 Mn |
| Oct 2, 2021 | 391.78 Mn |
V F Shares Outstanding 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&ticker=VFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=VFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();