V F (VFC) Price to Earnings (2009 - 2026)
V F's Price to Earnings was 24.91 in fiscal Q1 2027 (quarter ended Jun 27, 2026), down 1.1% from the prior quarter.
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Analysis
V F (VFC) Price to Earnings (2009 - 2026) Analysis & Trends
For FY2026 (ended Mar 28, 2026), Price to Earnings at V F came in at 25.19.
- In earlier fiscal years, Price to Earnings was 75.09 in FY2023 (+374.4%) and 15.83 in FY2022 (-79.3%).
- The fiscal Q1 2027 figure marks the lowest quarterly Price to Earnings since fiscal Q1 2023.
- Per Business Quant data, VFC's Price to Earnings in the three fiscal quarters before Q1 2027 was 25.19 (Q4 2026), 32.38 (Q3 2026) and 63.70 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 52.05 Bn | 18.05 Bn | 5.39 Bn |
| 2 | Tapestry | 23.90 Bn | 19.86 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.81 Bn | 13.91 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.33 Bn | 4.20 Bn | - |
| 5 | Lululemon Athletica | 10.22 Bn | 4.47 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.69 Bn | 4.35 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.41 Bn | 5.41 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.37 Bn | 493.89 Mn |
| 9 | Crocs | 5.74 Bn | 5.15 Bn | 700.71 Mn |
| 10 | V F | 5.66 Bn | 2.28 Bn | 917.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 24.91 |
| Mar 28, 2026 | 25.19 |
| Dec 27, 2025 | 32.38 |
| Sep 27, 2025 | 63.70 |
| Jul 1, 2023 | 63.38 |
| Apr 1, 2023 | 75.09 |
| Dec 31, 2022 | 25.90 |
| Oct 1, 2022 | 27.39 |
| Jul 2, 2022 | 17.03 |
| Apr 2, 2022 | 15.83 |
| Jan 1, 2022 | 20.40 |
| Oct 2, 2021 | 21.87 |
| Jul 3, 2021 | 32.58 |
| Apr 3, 2021 | 76.39 |
| Jun 27, 2020 | 64.61 |
| Mar 28, 2020 | 33.07 |
| Dec 28, 2019 | 30.52 |
| Sep 28, 2019 | 27.44 |
| Jun 29, 2019 | 30.26 |
| Mar 30, 2019 | 25.78 |
API Access
V F Price to Earnings 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=price-to-earnings&ticker=VFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=VFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();