V F (VFC) Land & Improvements (2010 - 2011)
V F (VFC) posted Land & Improvements of $48.16 million for FY2010 (year ended Jan 1, 2011).
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Analysis
V F (VFC) Land & Improvements (2010 - 2011) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | - |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 8.10 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 56.70 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 77.31 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | - |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | - |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | - |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | - |
| 10 | V F | 5.53 Bn | 2.15 Bn | 917.04 Mn | - |
API Access
V F Land & Improvements 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=land-and-improvements&ticker=VFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=VFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();