Quanta Services (PWR) Interest Expenses (2009 - 2026)
Quanta Services (PWR) recorded Interest Expenses of $73.55 million in Q2 2026, up 23.4% from $59.58 million a year earlier and up 0.4% from the prior quarter.
Quanta Services (PWR) Interest Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Quanta Services' Interest Expenses came in at $294.37 million as of Jun 30, 2026, up 27.9% year-over-year; for FY2025, it came in at $261.45 million, up 29.0% from FY2024.
- Annual Interest Expenses has increased for five straight years, with a five-year compound annual growth rate of 42.2% (FY2020 to FY2025).
- Across earlier years, Interest Expenses came in at $202.69 million in FY2024 (+8.4%), $186.91 million in FY2023 (+50.3%), $124.36 million in FY2022 (+80.5%) and $68.9 million in FY2021 (+53.1%).
- Quarterly Interest Expenses has ranged from $17.26 million in Q3 2021 to $75.75 million in Q4 2025 over the past five years.
- On a year-over-year basis, Interest Expenses has increased for eight consecutive quarters, with growth averaging 27.0% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 130.5% in Q4 2021, against a decline of 6.0% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $73.27 million (Q1 2026), $75.75 million (Q4 2025) and $71.81 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 82.37 Bn | 80.45 Bn | 1.55 Bn | 73.55 Mn |
| 2 | Ferrovial | 35.66 Bn | 13.90 Bn | - | - |
| 3 | Emcor | 28.79 Bn | 25.18 Bn | 1.02 Bn | - |
| 4 | Jacobs Solutions | 17.11 Bn | 11.77 Bn | 810.70 Mn | 54.65 Mn |
| 5 | Mastec | 13.35 Bn | 12.13 Bn | 556.28 Mn | 47.20 Mn |
| 6 | Sterling Infrastructure | 10.94 Bn | 9.27 Bn | 289.96 Mn | 3.09 Mn |
| 7 | IES Holdings | 8.50 Bn | 7.36 Bn | 340.66 Mn | 1.01 Mn |
| 8 | Stantec | 8.11 Bn | 7.03 Bn | 1.36 Bn | 36.94 Mn |
| 9 | Aecom | 7.78 Bn | 2.90 Bn | -34.04 Mn | 47.64 Mn |
| 10 | Dycom Industries | 6.52 Bn | 5.65 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 73.55 Mn |
| Mar 31, 2026 | 73.27 Mn |
| Dec 31, 2025 | 75.75 Mn |
| Sep 30, 2025 | 71.81 Mn |
| Jun 30, 2025 | 59.58 Mn |
| Mar 31, 2025 | 54.31 Mn |
| Dec 31, 2024 | 56.34 Mn |
| Sep 30, 2024 | 59.95 Mn |
| Jun 30, 2024 | 45.32 Mn |
| Mar 31, 2024 | 41.07 Mn |
| Dec 31, 2023 | 49.50 Mn |
| Sep 30, 2023 | 47.53 Mn |
| Jun 30, 2023 | 48.19 Mn |
| Mar 31, 2023 | 41.69 Mn |
| Dec 31, 2022 | 37.43 Mn |
| Sep 30, 2022 | 33.57 Mn |
| Jun 30, 2022 | 28.64 Mn |
| Mar 31, 2022 | 24.73 Mn |
| Dec 31, 2021 | 26.06 Mn |
| Sep 30, 2021 | 17.26 Mn |
Quanta Services Interest 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=interest-expenses&ticker=PWR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=PWR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();