Quanta Services (PWR) Income Taxes Paid (2009 - 2016)
Quanta Services (PWR) recorded Income Taxes Paid of $27.04 million in Q2 2016, down 28.5% from $37.84 million a year earlier but up 316.9% from the prior quarter.
Quanta Services (PWR) Income Taxes Paid (2009 - 2016) Analysis & Trends
On a TTM basis, Quanta Services' Income Taxes Paid came in at $113.96 million as of Jun 30, 2016, up 0.8% year-over-year; for FY2015, it came in at $130.92 million, down 41.5% from FY2014.
- Annual Income Taxes Paid has a five-year compound annual growth rate of 3.8% (FY2010 to FY2015).
- Across earlier years, Income Taxes Paid came in at $223.9 million in FY2014 (-8.4%), $244.55 million in FY2013 (+57.3%), $155.49 million in FY2012 and $13.31 million in FY2011 (-87.8%).
- Quarterly Income Taxes Paid has ranged from -$880,000 in Q3 2011 to $91.58 million in Q1 2013 over the past five years.
- On a year-over-year basis, Income Taxes Paid has declined for three consecutive quarters, with an average decline of 8.5% over the last eight quarters.
- Peak year-over-year performance for Income Taxes Paid in the last five years was growth of 621.2% in Q2 2012, against a decline of 85.9% in Q1 2015 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.49 million (Q1 2016), $24.38 million (Q4 2015) and $56.06 million (Q3 2015).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 90.69 Bn | 87.15 Bn | 2.01 Bn | - |
| 2 | Ferrovial | 44.45 Bn | 25.05 Bn | - | - |
| 3 | Emcor | 28.99 Bn | 25.27 Bn | 1.11 Bn | - |
| 4 | Jacobs Solutions | 18.53 Bn | 13.18 Bn | 810.70 Mn | - |
| 5 | Mastec | 14.68 Bn | 13.36 Bn | 660.86 Mn | 30.38 Mn |
| 6 | Stantec | 9.77 Bn | 8.64 Bn | 2.08 Bn | 44.29 Mn |
| 7 | Aecom | 9.07 Bn | 4.40 Bn | -34.04 Mn | - |
| 8 | Sterling Infrastructure | 8.95 Bn | 7.41 Bn | 377.28 Mn | - |
| 9 | IES Holdings | 6.79 Bn | 5.65 Bn | 340.66 Mn | 70.65 Mn |
| 10 | Dycom Industries | 6.68 Bn | 4.98 Bn | 440.55 Mn | 30.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2016 | 27.04 Mn |
| Mar 31, 2016 | 6.49 Mn |
| Dec 31, 2015 | 24.38 Mn |
| Sep 30, 2015 | 56.06 Mn |
| Jun 30, 2015 | 37.84 Mn |
| Mar 31, 2015 | 12.40 Mn |
| Dec 31, 2014 | 47.05 Mn |
| Sep 30, 2014 | 15.81 Mn |
| Jun 30, 2014 | 73.33 Mn |
| Mar 31, 2014 | 87.71 Mn |
| Dec 31, 2013 | 50.60 Mn |
| Sep 30, 2013 | 36.56 Mn |
| Jun 30, 2013 | 65.81 Mn |
| Mar 31, 2013 | 91.58 Mn |
| Dec 31, 2012 | 44.32 Mn |
| Sep 30, 2012 | 40.26 Mn |
| Jun 30, 2012 | 23.33 Mn |
| Mar 31, 2012 | 47.59 Mn |
| Dec 31, 2011 | 20.20 Mn |
| Sep 30, 2011 | -880,000.00 |
Quanta Services Income Taxes Paid 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=income-taxes-paid&ticker=PWR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=PWR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();