Quanta Services (PWR) Amortization - Intangibles (2009 - 2026)
Quanta Services' Amortization - Intangibles was $156.96 million in Q2 2026, up 38.7% from $113.18 million a year earlier and up 3.0% from the prior quarter.
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Analysis
Quanta Services (PWR) Amortization - Intangibles (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Quanta Services' Amortization - Intangibles was $585.4 million through Jun 30, 2026, up 30.4% year-over-year; for FY2025, it was $498.8 million, up 30.2% from FY2024.
- Amortization - Intangibles shows a five-year compound annual growth rate of 45.4% (FY2020 to FY2025).
- In earlier years, Amortization - Intangibles was $383 million in FY2024 (+32.5%), $289.01 million in FY2023 (-18.4%), $354 million in FY2022 (+114.0%) and $165.4 million in FY2021 (+115.6%).
- The Q2 2026 figure marks the highest quarterly Amortization - Intangibles in data going back to Q1 2009.
- Compared with a year earlier, Amortization - Intangibles has increased for 12 straight quarters, with growth averaging 39.3% over the last eight quarters.
- The best year-over-year quarter for Amortization - Intangibles over five years was Q1 2022 (growth of 442.0%); the worst was Q1 2023 (a decline of 37.4%).
- Per Business Quant data, PWR's Amortization - Intangibles in the three quarters before Q2 2026 was $152.38 million (Q1 2026), $142.87 million (Q4 2025) and $133.2 million (Q3 2025).
Peer Set
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 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 156.96 Mn |
| Mar 31, 2026 | 152.38 Mn |
| Dec 31, 2025 | 142.87 Mn |
| Sep 30, 2025 | 133.20 Mn |
| Jun 30, 2025 | 113.18 Mn |
| Mar 31, 2025 | 109.56 Mn |
| Dec 31, 2024 | 115.85 Mn |
| Sep 30, 2024 | 110.42 Mn |
| Jun 30, 2024 | 79.21 Mn |
| Mar 31, 2024 | 77.51 Mn |
| Dec 31, 2023 | 75.23 Mn |
| Sep 30, 2023 | 71.36 Mn |
| Jun 30, 2023 | 70.03 Mn |
| Mar 31, 2023 | 72.40 Mn |
| Dec 31, 2022 | 63.16 Mn |
| Sep 30, 2022 | 67.15 Mn |
| Jun 30, 2022 | 107.95 Mn |
| Mar 31, 2022 | 115.75 Mn |
| Dec 31, 2021 | 99.98 Mn |
| Sep 30, 2021 | 22.77 Mn |
API Access
Quanta Services Amortization - Intangibles 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=amortization-intangibles&ticker=PWR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=PWR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();