North American Construction (NOA) Other Accumulated Expenses (2009 - 2014)
North American Construction (NOA) posted Other Accumulated Expenses of $423,601 for the quarter ended Dec 31, 2014, up 8.6% from $389,918 a year earlier.
North American Construction (NOA) Other Accumulated Expenses (2009 - 2014) Analysis & Trends
As of Dec 31, 2014, North American Construction's Other Accumulated Expenses came in at $435,814, up 9.7% from the prior year.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of -56.9% (years ended Dec 2009 to Dec 2014).
- In prior years, North American Construction's Other Accumulated Expenses was $397,382 in the year ended Dec 31, 2013 (-22.2%), $510,651 in the year ended Dec 31, 2012 and $342,464 in the year ended Mar 31, 2011.
- The figure for the quarter ended Dec 31, 2014 stands as the highest quarterly Other Accumulated Expenses since the quarter ended Dec 31, 2012.
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 | North American Construction | 351.33 Mn | -3.86 Mn | 31.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2014 | 423,601.20 |
| Dec 31, 2013 | 389,918.21 |
| Mar 31, 2013 | 59,580.43 |
| Dec 31, 2012 | 514,690.16 |
| Mar 31, 2012 | 14,980.38 |
| Mar 31, 2011 | 352,949.35 |
| Mar 31, 2009 | 29.34 Mn |
North American Construction 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=NOA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "NOA", "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=NOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();