V F (VFC) Payout Ratio (2009 - 2026)
V F's (VFC) Payout Ratio was 0.51 for fiscal Q1 2027 (quarter ended Jun 27, 2026), down 6.9% from the prior quarter.
Analysis
V F (VFC) Payout Ratio (2009 - 2026) Analysis & Trends
For FY2026 (ended Mar 28, 2026), Payout Ratio at V F was 0.55.
- By fiscal year, Payout Ratio came in at 5.93 in FY2023 (+963.2%) and 0.56 in FY2022 (-70.0%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Payout Ratio since fiscal Q1 2016.
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 0.55 (Q4 2026), 0.63 (Q3 2026) and 1.55 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn |
| 10 | V F | 5.67 Bn | 2.29 Bn | 917.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 0.51 |
| Mar 28, 2026 | 0.55 |
| Dec 27, 2025 | 0.63 |
| Sep 27, 2025 | 1.55 |
| Jul 1, 2023 | 5.34 |
| Apr 1, 2023 | 5.93 |
| Dec 31, 2022 | 1.88 |
| Oct 1, 2022 | 1.83 |
| Jul 2, 2022 | 0.77 |
| Apr 2, 2022 | 0.56 |
| Jan 1, 2022 | 0.55 |
| Oct 2, 2021 | 0.63 |
| Jul 3, 2021 | 0.75 |
| Apr 3, 2021 | 1.86 |
| Jun 27, 2020 | 2.13 |
| Mar 28, 2020 | 1.10 |
| Dec 28, 2019 | 0.58 |
| Sep 28, 2019 | 0.57 |
| Jun 29, 2019 | 0.64 |
| Jun 30, 2018 | 1.22 |
API Access
V F Payout Ratio 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=payout-ratio&ticker=VFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payout-ratio", "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=payout-ratio&ticker=VFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();