Quanta Services (PWR) Other Accumulated Expenses (2010 - 2016)
Quanta Services' Other Accumulated Expenses came in at $82 million for Q4 2016, down 15.9% from $97.53 million a year earlier.
Powered by 
Analysis
Quanta Services (PWR) Other Accumulated Expenses (2010 - 2016) Analysis & Trends
Going back to Q4 2010, Quanta Services' Other Accumulated Expenses data covers 7 quarters.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 11.1% (FY2011 to FY2016).
- Going back by year, Other Accumulated Expenses was $97.53 million in FY2015 (-2.2%), $99.75 million in FY2014 (+46.1%), $68.28 million in FY2013 (+6.3%) and $64.22 million in FY2012 (+32.7%).
- The Q4 2016 figure represents the lowest quarterly Other Accumulated Expenses since Q4 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 82.00 Mn |
| Dec 31, 2015 | 97.53 Mn |
| Dec 31, 2014 | 99.75 Mn |
| Dec 31, 2013 | 68.28 Mn |
| Dec 31, 2012 | 64.22 Mn |
| Dec 31, 2011 | 48.39 Mn |
| Dec 31, 2010 | 56.34 Mn |
API Access
Quanta Services Other Accumulated 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=other-accumulated-expenses&ticker=PWR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "PWR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=PWR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();