Quanta Services (PWR) EBITDA (2009 - 2026)
Quanta Services' EBITDA came in at $968.93 million for Q2 2026, up 66.4% from $582.19 million a year earlier and up 60.3% from the prior quarter.
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Analysis
Quanta Services (PWR) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Quanta Services reported EBITDA of $3.07 billion, up 31.8% year-over-year; for FY2025, it came in at $2.52 billion, up 20.7% from FY2024.
- EBITDA has increased in each of the last ten years, with a five-year compound annual growth rate of 22.5% (FY2020 to FY2025).
- Going back by year, EBITDA was $2.09 billion in FY2024 (+19.9%), $1.74 billion in FY2023 (+14.8%), $1.52 billion in FY2022 (+39.9%) and $1.08 billion in FY2021 (+18.7%).
- The Q2 2026 figure represents the highest quarterly EBITDA in data going back to Q1 2009.
- Year-over-year, EBITDA has increased for 13 consecutive quarters, with growth averaging 30.9% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q2 2026 (growth of 66.4%), and the weakest in Q1 2023 (a decline of 9.1%).
- Business Quant data shows PWR's EBITDA at $604.45 million (Q1 2026), $738.62 million (Q4 2025) and $754.29 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 82.37 Bn | 80.45 Bn | 1.55 Bn | 968.93 Mn |
| 2 | Ferrovial | 35.66 Bn | 13.90 Bn | - | - |
| 3 | Emcor | 28.79 Bn | 25.18 Bn | 1.02 Bn | 601.60 Mn |
| 4 | Jacobs Solutions | 17.11 Bn | 11.77 Bn | 810.70 Mn | 343.89 Mn |
| 5 | Mastec | 13.35 Bn | 12.13 Bn | 556.28 Mn | 351.08 Mn |
| 6 | Sterling Infrastructure | 10.94 Bn | 9.27 Bn | 289.96 Mn | 244.44 Mn |
| 7 | IES Holdings | 8.50 Bn | 7.36 Bn | 340.66 Mn | 195.65 Mn |
| 8 | Stantec | 8.11 Bn | 7.03 Bn | 1.36 Bn | 458.26 Mn |
| 9 | Aecom | 7.78 Bn | 2.90 Bn | -34.04 Mn | -20.06 Mn |
| 10 | Dycom Industries | 6.52 Bn | 5.65 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 968.93 Mn |
| Mar 31, 2026 | 604.45 Mn |
| Dec 31, 2025 | 738.62 Mn |
| Sep 30, 2025 | 754.29 Mn |
| Jun 30, 2025 | 582.19 Mn |
| Mar 31, 2025 | 446.76 Mn |
| Dec 31, 2024 | 665.45 Mn |
| Sep 30, 2024 | 631.56 Mn |
| Jun 30, 2024 | 470.10 Mn |
| Mar 31, 2024 | 321.76 Mn |
| Dec 31, 2023 | 482.79 Mn |
| Sep 30, 2023 | 553.18 Mn |
| Jun 30, 2023 | 429.17 Mn |
| Mar 31, 2023 | 284.77 Mn |
| Dec 31, 2022 | 402.55 Mn |
| Sep 30, 2022 | 429.47 Mn |
| Jun 30, 2022 | 391.72 Mn |
| Mar 31, 2022 | 305.72 Mn |
| Dec 31, 2021 | 311.89 Mn |
| Sep 30, 2021 | 336.38 Mn |
API Access
Quanta Services EBITDA 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=ebitda&ticker=PWR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=PWR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();