V F (VFC) Buildings (2010 - 2011)
V F (VFC) posted Buildings of $606.53 million for FY2010 (year ended Jan 1, 2011).
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Analysis
V F (VFC) Buildings (2010 - 2011) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 56.09 Bn | 22.29 Bn | 4.80 Bn |
| 2 | Tapestry | 23.78 Bn | 19.74 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 22.97 Bn | 15.07 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - |
| 5 | Lululemon Athletica | 10.98 Bn | 5.23 Bn | 1.46 Bn |
| 6 | Levi Strauss | 8.18 Bn | 4.76 Bn | 1.07 Bn |
| 7 | V F | 6.79 Bn | 3.41 Bn | 917.04 Mn |
| 8 | Gildan Activewear | 6.48 Bn | 5.40 Bn | 459.76 Mn |
| 9 | Birkenstock Holding | 6.05 Bn | 4.38 Bn | 493.89 Mn |
| 10 | Crocs | 5.87 Bn | 5.28 Bn | 700.71 Mn |
API Access
V F Buildings 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=buildings&ticker=VFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=VFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();