Quanta Services (PWR) Accumulated Expenses (2011)
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Analysis
Quanta Services (PWR) Accumulated Expenses (2011) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 87.86 Bn | 84.32 Bn | 2.01 Bn |
| 2 | Ferrovial | 43.95 Bn | 24.55 Bn | - |
| 3 | Emcor | 28.40 Bn | 24.67 Bn | 1.11 Bn |
| 4 | Jacobs Solutions | 18.40 Bn | 13.04 Bn | 810.70 Mn |
| 5 | Mastec | 14.54 Bn | 13.22 Bn | 660.86 Mn |
| 6 | Aecom | 9.09 Bn | 4.41 Bn | -34.04 Mn |
| 7 | Sterling Infrastructure | 8.86 Bn | 7.32 Bn | 377.28 Mn |
| 8 | Stantec | 8.64 Bn | 7.57 Bn | 1.36 Bn |
| 9 | IES Holdings | 6.87 Bn | 5.74 Bn | 340.66 Mn |
| 10 | Dycom Industries | 6.60 Bn | 4.90 Bn | 440.55 Mn |
API Access
Quanta Services 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=accumulated-expenses&ticker=PWR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=PWR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();