Aes (AES) Land & Improvements (2009 - 2018)
Aes' Land & Improvements was $480 million in Q2 2018.
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Analysis
Aes (AES) Land & Improvements (2009 - 2018) Analysis & Trends
At the end of FY2017, Land & Improvements at Aes came in at $502 million.
- Land & Improvements shows a five-year compound annual growth rate of -13.0% (FY2012 to FY2017).
- The Q2 2018 figure marks the lowest quarterly Land & Improvements in data going back to Q2 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 292.57 Bn | 292.57 Bn | 890.00 Mn | - |
| 2 | National Grid | 78.85 Bn | 60.37 Bn | - | - |
| 3 | Dominion Energy | 53.27 Bn | 55.95 Bn | - | - |
| 4 | Xcel Energy | 44.01 Bn | 38.91 Bn | - | - |
| 5 | Wec Energy | 32.84 Bn | 33.08 Bn | 1.51 Bn | - |
| 6 | Ameren | 27.51 Bn | 27.59 Bn | - | - |
| 7 | Fortis | 26.81 Bn | 27.29 Bn | 1.60 Bn | - |
| 8 | Atmos Energy | 26.44 Bn | 25.21 Bn | 870.85 Mn | - |
| 9 | American Water Works Company | 25.73 Bn | 25.14 Bn | - | - |
| 10 | Aes | 10.63 Bn | 8.65 Bn | 692.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 480.00 Mn |
| Dec 31, 2017 | 502.00 Mn |
| Mar 31, 2013 | 1.02 Bn |
| Dec 31, 2012 | 1.01 Bn |
| Sep 30, 2012 | 1.04 Bn |
| Jun 30, 2012 | 1.04 Bn |
| Mar 31, 2012 | 1.11 Bn |
| Dec 31, 2011 | 1.09 Bn |
| Sep 30, 2011 | 1.03 Bn |
| Jun 30, 2011 | 1.18 Bn |
| Mar 31, 2011 | 1.15 Bn |
| Dec 31, 2010 | 1.12 Bn |
| Sep 30, 2010 | 1.10 Bn |
| Mar 31, 2010 | 1.10 Bn |
| Dec 31, 2009 | 1.11 Bn |
| Sep 30, 2009 | 1.09 Bn |
| Jun 30, 2009 | 1.02 Bn |
API Access
Aes 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=AES&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "AES", "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=AES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();