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 | 53.14 Bn | 19.13 Bn | 5.39 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn |
| 10 | V F | 5.70 Bn | 2.32 Bn | 917.04 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();