Quanta Services (PWR) Capital Expenditures (2009 - 2026)
Quanta Services (PWR) posted Capital Expenditures of $267.96 million for Q3 2026, up 88.1% from $142.45 million a year earlier and up 16.0% from the prior quarter.
Quanta Services (PWR) Capital Expenditures (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Capital Expenditures at Quanta Services was $1.02 billion, up 80.6% year-over-year; for FY2025, it was $712.52 million, up 18.0% from FY2024.
- Annual Capital Expenditures has increased for five consecutive years, with a five-year compound annual growth rate of 22.3% (FY2020 to FY2025).
- In prior years, Quanta Services' Capital Expenditures was $604.08 million in FY2024 (+38.9%), $434.8 million in FY2023 (+1.7%), $427.63 million in FY2022 (+10.8%) and $385.85 million in FY2021 (+48.4%).
- Quarterly Capital Expenditures has run from a low of $80.32 million in Q1 2023 to a high of $296.96 million in Q4 2025 over five years.
- On a year-over-year basis, Capital Expenditures has increased in each of the last four quarters, with growth averaging 46.1% over the last eight quarters.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q4 2025, with growth of 102.0%; the weakest was Q4 2022, with a decline of 41.0%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $230.96 million (Q2 2026), $220.09 million (Q1 2026) and $296.96 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.31 Bn | 85.69 Bn | 2.01 Bn | 267.96 Mn |
| 2 | Ferrovial | 44.08 Bn | 24.68 Bn | - | - |
| 3 | Emcor | 29.16 Bn | 25.43 Bn | 1.11 Bn | 37.15 Mn |
| 4 | Jacobs Solutions | 18.59 Bn | 13.24 Bn | 810.70 Mn | 25.13 Mn |
| 5 | Mastec | 14.14 Bn | 12.67 Bn | 660.86 Mn | 87.35 Mn |
| 6 | Aecom | 9.02 Bn | 4.35 Bn | -34.04 Mn | 40.35 Mn |
| 7 | Sterling Infrastructure | 8.80 Bn | 7.22 Bn | 377.28 Mn | 45.81 Mn |
| 8 | Stantec | 8.59 Bn | 7.47 Bn | 2.08 Bn | -43.72 Mn |
| 9 | IES Holdings | 6.94 Bn | 5.80 Bn | 340.66 Mn | 44.64 Mn |
| 10 | Dycom Industries | 6.79 Bn | 5.09 Bn | 440.55 Mn | 69.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 267.96 Mn |
| Jun 30, 2026 | 230.96 Mn |
| Mar 31, 2026 | 220.09 Mn |
| Dec 31, 2025 | 296.96 Mn |
| Sep 30, 2025 | 142.45 Mn |
| Jun 30, 2025 | 140.35 Mn |
| Mar 31, 2025 | 132.76 Mn |
| Dec 31, 2024 | 146.99 Mn |
| Sep 30, 2024 | 212.50 Mn |
| Jun 30, 2024 | 161.46 Mn |
| Mar 31, 2024 | 83.14 Mn |
| Dec 31, 2023 | 109.41 Mn |
| Sep 30, 2023 | 139.80 Mn |
| Jun 30, 2023 | 105.28 Mn |
| Mar 31, 2023 | 80.32 Mn |
| Dec 31, 2022 | 90.16 Mn |
| Sep 30, 2022 | 105.96 Mn |
| Jun 30, 2022 | 121.57 Mn |
| Mar 31, 2022 | 109.94 Mn |
| Dec 31, 2021 | 152.86 Mn |
Quanta Services Capital Expenditures 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=capital-expenditures&ticker=PWR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=PWR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();