Public Service Enterprise (PEG) Change in Accured Expenses (2011 - 2016)
Public Service Enterprise's Change in Accured Expenses came in at $14 million for Q1 2016, down 12.5% from $16 million a year earlier.
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Analysis
Public Service Enterprise (PEG) Change in Accured Expenses (2011 - 2016) Analysis & Trends
Over the trailing twelve months to Mar 31, 2016, Public Service Enterprise reported Change in Accured Expenses of $36 million, down 2.7% year-over-year; for FY2013, it was $2 million.
- Going back by year, Change in Accured Expenses was -$6 million in FY2012, -$8 million in FY2011 and -$3 million in FY2010.
- The Q1 2016 figure represents the lowest quarterly Change in Accured Expenses since Q4 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nextera Energy | 162.78 Bn | 152.72 Bn | - | - |
| 2 | Southern | 100.19 Bn | 91.25 Bn | 5.92 Bn | - |
| 3 | Duke Energy | 91.91 Bn | 88.50 Bn | 6.74 Bn | -460.00 Mn |
| 4 | National Grid | 77.40 Bn | 49.69 Bn | - | - |
| 5 | American Electric Power | 68.36 Bn | 65.53 Bn | 3.84 Bn | - |
| 6 | Dominion Energy | 54.82 Bn | 52.81 Bn | - | 114.00 Mn |
| 7 | Sempra | 53.87 Bn | 52.99 Bn | 2.89 Bn | - |
| 8 | Entergy | 48.18 Bn | 37.31 Bn | - | -1.74 Mn |
| 9 | Xcel Energy | 46.63 Bn | 41.53 Bn | - | 16.00 Mn |
| 10 | Public Service Enterprise | 35.07 Bn | 34.01 Bn | 1.86 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2016 | 14.00 Mn |
| Mar 31, 2015 | 16.00 Mn |
| Mar 31, 2014 | 15.00 Mn |
| Dec 31, 2013 | -9.00 Mn |
| Mar 31, 2013 | 15.00 Mn |
| Dec 31, 2012 | -23.00 Mn |
| Mar 31, 2012 | 17.00 Mn |
| Dec 31, 2011 | -31.00 Mn |
API Access
Public Service Enterprise Change in Accured Expenses 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=change-in-accured-expenses&ticker=PEG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "PEG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=PEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();