Entergy (ETR) Regulatory Liabilities (Current) (2009 - 2014)
Entergy (ETR) reported Regulatory Liabilities (Current) of $6.57 million for Q3 2014, up 5.0% from $6.26 million a year earlier but down 88.8% from the prior quarter.
Entergy (ETR) Regulatory Liabilities (Current) (2009 - 2014) Analysis & Trends
At the end of FY2013, Entergy posted Regulatory Liabilities (Current) of $61.04 million, up 136.1% from FY2012.
- Regulatory Liabilities (Current) has a four-year compound annual growth rate of -24.4% (FY2009 to FY2013).
- By year, Regulatory Liabilities (Current) came in at $25.85 million in FY2012 (-67.7%), $80.09 million in FY2011 (+53.5%), $52.16 million in FY2010 (-72.1%) and $187.2 million in FY2009.
- Five-year quarterly Regulatory Liabilities (Current) spans a low of $6.26 million in Q3 2013 and a high of $190.19 million in Q3 2011.
- Year over year, Regulatory Liabilities (Current) has now increased in each of the last four quarters, with growth averaging 99.0% over the last eight quarters.
- The high point for year-over-year Regulatory Liabilities (Current) in five years was Q1 2014 (growth of 661.6%); the low point was Q3 2010 (a decline of 89.9%).
- Per Business Quant data, the three quarters before Q3 2014 came in at $58.85 million (Q2 2014), $128.55 million (Q1 2014) and $61.04 million (Q4 2013).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Regulatory Liabilities (Current) (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 299.49 Bn | 296.88 Bn | - | - |
| 2 | Nextera Energy | 179.92 Bn | 166.66 Bn | - | 489.00 Mn |
| 3 | Southern | 105.56 Bn | 96.61 Bn | 5.92 Bn | - |
| 4 | Duke Energy | 99.44 Bn | 95.69 Bn | 5.66 Bn | 1.42 Bn |
| 5 | National Grid | 82.69 Bn | 64.32 Bn | - | - |
| 6 | American Electric Power | 68.52 Bn | 66.31 Bn | 4.75 Bn | - |
| 7 | Dominion Energy | 59.67 Bn | 57.66 Bn | - | 609.00 Mn |
| 8 | Entergy | 52.06 Bn | 38.50 Bn | - | - |
| 9 | Sempra | 51.32 Bn | 50.45 Bn | 2.89 Bn | 3.00 Mn |
| 10 | Xcel Energy | 49.97 Bn | 43.44 Bn | - | 691.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2014 | 6.57 Mn |
| Jun 30, 2014 | 58.85 Mn |
| Mar 31, 2014 | 128.55 Mn |
| Dec 31, 2013 | 61.04 Mn |
| Sep 30, 2013 | 6.26 Mn |
| Jun 30, 2013 | 14.60 Mn |
| Mar 31, 2013 | 16.88 Mn |
| Dec 31, 2012 | 25.85 Mn |
| Sep 30, 2012 | 55.09 Mn |
| Jun 30, 2012 | 72.79 Mn |
| Mar 31, 2012 | 74.21 Mn |
| Dec 31, 2011 | 80.09 Mn |
| Sep 30, 2011 | 190.19 Mn |
| Jun 30, 2011 | 66.35 Mn |
| Mar 31, 2011 | 52.16 Mn |
| Dec 31, 2010 | 52.16 Mn |
| Sep 30, 2010 | 25.93 Mn |
| Jun 30, 2010 | 79.02 Mn |
| Mar 31, 2010 | 187.31 Mn |
| Dec 31, 2009 | 187.20 Mn |
Entergy Regulatory Liabilities (Current) 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=regulatory-liabilities-current&ticker=ETR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "regulatory-liabilities-current", "ticker": "ETR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=regulatory-liabilities-current&ticker=ETR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();