Eni Spa (EIPAF) Land & Improvements (2010 - 2014)
Eni Spa (EIPAF) posted Land & Improvements of $833.6 million for Q4 2014, down 11.62% on a QoQ basis from $943.2 million in Q4 2013, and down 11.62% year-over-year from $943.2 million in Q4 2013.
Eni Spa (EIPAF) Land & Improvements (2010 - 2014) Analysis & Trends
Eni Spa has reported Land & Improvements for 5 years, with the latest figure at $833.6 million in Q4 2014.
- On a quarterly basis, Land & Improvements fell 11.62% year-over-year to $833.6 million in Q4 2014; TTM through Dec 2014 was $833.6 million, a 11.62% decrease from a year earlier, with the FY2014 full-year figure at $886.6 million, down 6.0% from the prior year.
- Land & Improvements was $833.6 million for Q4 2014 at Eni Spa, down from $943.2 million in the prior quarter.
- The five-year high for Land & Improvements was $1.1 billion in Q4 2011, with the low at $833.6 million in Q4 2014.
- Average Land & Improvements over 5 years is $964.4 million, with a median of $943.2 million recorded in 2013.
- The sharpest annual moves came in 2011 and 2014: Land & Improvements advanced 14.42% in 2011, then slipped 11.62% in 2014.
- Over 5 years, Land & Improvements stood at $941.1 million in 2010, then rose by 14.42% to $1.1 billion in 2011, then decreased by 4.61% to $1.0 billion in 2012, then retreated by 8.17% to $943.2 million in 2013, then retreated by 11.62% to $833.6 million in 2014.
- The last three Land & Improvements figures came in at $833.6 million (Q4 2014), $943.2 million (Q4 2013), and $1.0 billion (Q4 2012), per Business Quant data.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2014 | 833.64 Mn |
| Dec 31, 2013 | 943.24 Mn |
| Dec 31, 2012 | 1.03 Bn |
| Dec 31, 2011 | 1.08 Bn |
| Dec 31, 2010 | 941.07 Mn |
Eni Spa 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=EIPAF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=EIPAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();