V F (VFC) Purchase of Investments (2020)
Analysis
V F (VFC) Purchase of Investments (2020) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Investments Purchased (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.20 Bn | 21.40 Bn | 4.80 Bn | 407.00 Mn |
| 2 | Tapestry | 23.95 Bn | 19.91 Bn | 1.56 Bn | 153.70 Mn |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 207.50 Mn |
| 4 | Deckers Outdoor | 12.57 Bn | 5.44 Bn | - | - |
| 5 | Lululemon Athletica | 11.02 Bn | 5.27 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 7.96 Bn | 4.54 Bn | 1.07 Bn | 42.70 Mn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | - |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn | - |
| 9 | Birkenstock Holding | 6.13 Bn | 4.46 Bn | 493.89 Mn | - |
| 10 | Crocs | 5.91 Bn | 5.32 Bn | 700.71 Mn | - |
API Access
V F Purchase of Investments 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=purchase-of-investments&ticker=VFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "purchase-of-investments", "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=purchase-of-investments&ticker=VFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();