Vodafone Group Public (VOD) Land & Improvements (2009 - 2013)
Vodafone Group Public's Land & Improvements came in at $244 million for fiscal Q4 2013 (quarter ended Dec 31, 2013), unchanged from $244 million a year earlier.
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Analysis
Vodafone Group Public (VOD) Land & Improvements (2009 - 2013) Analysis & Trends
Going back to fiscal Q4 2009, Vodafone Group Public's Land & Improvements data covers 5 quarters.
- Land & Improvements carries a four-year compound annual growth rate of -2.3% (FY2009 to FY2013).
- Going back by fiscal year, Land & Improvements was $244 million in FY2012 (-0.4%), $245 million in FY2011 (-6.5%), $262 million in FY2010 (-2.2%) and $268 million in FY2009.
- The five-year range for quarterly Land & Improvements is $244 million (fiscal Q4 2012) to $268 million (fiscal Q4 2009).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 192.46 Bn | 158.80 Bn | 27.05 Bn | - |
| 2 | T-Mobile US | 180.34 Bn | 162.78 Bn | 15.13 Bn | - |
| 3 | At&T | 148.15 Bn | 89.61 Bn | 26.22 Bn | - |
| 4 | Grupo Televisa, S.A.B | 145.14 Bn | 145.14 Bn | 960.50 Mn | 91.35 Mn |
| 5 | Comcast | 86.88 Bn | 52.67 Bn | - | - |
| 6 | Chunghwa Telecom | 37.87 Bn | 29.88 Bn | 728.80 Mn | - |
| 7 | Vodafone Group Public | 37.60 Bn | 7.00 Bn | - | - |
| 8 | EchoStar | 29.01 Bn | 10.04 Bn | 647.20 Mn | - |
| 9 | Bce | 19.96 Bn | 17.96 Bn | 2.79 Bn | - |
| 10 | Telefonica Brasil | 18.66 Bn | 12.68 Bn | 1.42 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2013 | 244.00 Mn |
| Dec 31, 2012 | 244.00 Mn |
| Dec 31, 2011 | 245.00 Mn |
| Dec 31, 2010 | 262.00 Mn |
| Dec 31, 2009 | 268.00 Mn |
API Access
Vodafone Group Public 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=VOD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "VOD", "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=VOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();