Eni Spa (EIPAF) Buildings (2010 - 2014)
Eni Spa (EIPAF) posted Buildings of $5.6 billion for Q4 2014, up 20.39% on a QoQ basis from $4.6 billion in Q4 2013, and up 20.39% year-over-year from $4.6 billion in Q4 2013.
Powered by 
Analysis
Eni Spa (EIPAF) Buildings (2010 - 2014) Analysis & Trends
Eni Spa has reported Buildings for 5 years, with the latest figure at $5.6 billion in Q4 2014.
- On a quarterly basis, Buildings rose 20.39% year-over-year to $5.6 billion in Q4 2014; TTM through Dec 2014 was $5.6 billion, a 20.39% increase from a year earlier, with the FY2014 full-year figure at $5.9 billion, up 28.05% from the prior year.
- Buildings was $5.6 billion for Q4 2014 at Eni Spa, up from $4.6 billion in the prior quarter.
- The five-year high for Buildings was $5.6 billion in Q4 2014, with the low at $4.1 billion in Q4 2012.
- Average Buildings over 5 years is $4.7 billion, with a median of $4.6 billion recorded in 2013.
- The sharpest annual moves came in 2012 and 2014: Buildings slipped 13.63% in 2012, then advanced 20.39% in 2014.
- Over 5 years, Buildings stood at $4.3 billion in 2010, then grew by 10.12% to $4.8 billion in 2011, then retreated by 13.63% to $4.1 billion in 2012, then rose by 12.31% to $4.6 billion in 2013, then grew by 20.39% to $5.6 billion in 2014.
- The last three Buildings figures came in at $5.6 billion (Q4 2014), $4.6 billion (Q4 2013), and $4.1 billion (Q4 2012), per Business Quant data.
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2014 | 5.58 Bn |
| Dec 31, 2013 | 4.63 Bn |
| Dec 31, 2012 | 4.13 Bn |
| Dec 31, 2011 | 4.78 Bn |
| Dec 31, 2010 | 4.34 Bn |
API Access
Eni Spa 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=EIPAF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "EIPAF", "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=EIPAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();