Quanta Services (PWR) Long-Term Debt Repayments (2009 - 2026)
Quanta Services (PWR) reported Long-Term Debt Repayments of $17.83 billion for Q2 2026, up 76.0% from $10.13 billion a year earlier and up 4.9% from the prior quarter.
Quanta Services (PWR) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Quanta Services' Long-Term Debt Repayments came in at $72.26 billion, up 154.0% year-over-year; for FY2025, it was $52.78 billion, up 154.8% from FY2024.
- Long-Term Debt Repayments has increased for five consecutive years, with a five-year compound annual growth rate of 66.0% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $20.71 billion in FY2024 (+16.6%), $17.77 billion in FY2023 (+90.6%), $9.32 billion in FY2022 (+118.6%) and $4.27 billion in FY2021 (+1.9%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $1.14 billion in Q3 2021 and a high of $21.54 billion in Q3 2025.
- Year over year, Long-Term Debt Repayments has now increased in each of the last eight quarters, with growth averaging 130.6% over the last eight quarters.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q3 2025 (growth of 324.4%); the low point was Q3 2021 (a decline of 30.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $17 billion (Q1 2026), $15.89 billion (Q4 2025) and $21.54 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 96.54 Bn | 94.73 Bn | 1.55 Bn | 17.83 Bn |
| 2 | Ferrovial | 38.99 Bn | 19.58 Bn | - | - |
| 3 | Emcor | 33.36 Bn | 29.75 Bn | 1.02 Bn | 681,000.00 |
| 4 | Mastec | 17.15 Bn | 16.06 Bn | 556.28 Mn | 1.65 Bn |
| 5 | Jacobs Solutions | 15.84 Bn | 10.49 Bn | 810.70 Mn | 710.00 Mn |
| 6 | Sterling Infrastructure | 15.09 Bn | 13.45 Bn | 289.96 Mn | 3.78 Mn |
| 7 | IES Holdings | 12.79 Bn | 11.66 Bn | 340.66 Mn | 135.00 Mn |
| 8 | Dycom Industries | 8.06 Bn | 7.19 Bn | - | - |
| 9 | Stantec | 7.69 Bn | 7.69 Bn | - | -58.56 Mn |
| 10 | Aecom | 7.59 Bn | 2.91 Bn | -34.04 Mn | 1.43 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.83 Bn |
| Mar 31, 2026 | 17.00 Bn |
| Dec 31, 2025 | 15.89 Bn |
| Sep 30, 2025 | 21.54 Bn |
| Jun 30, 2025 | 10.13 Bn |
| Mar 31, 2025 | 5.22 Bn |
| Dec 31, 2024 | 8.02 Bn |
| Sep 30, 2024 | 5.08 Bn |
| Jun 30, 2024 | 4.35 Bn |
| Mar 31, 2024 | 3.27 Bn |
| Dec 31, 2023 | 3.63 Bn |
| Sep 30, 2023 | 4.74 Bn |
| Jun 30, 2023 | 5.34 Bn |
| Mar 31, 2023 | 4.05 Bn |
| Dec 31, 2022 | 4.08 Bn |
| Sep 30, 2022 | 2.49 Bn |
| Jun 30, 2022 | 1.45 Bn |
| Mar 31, 2022 | 1.30 Bn |
| Dec 31, 2021 | 1.41 Bn |
| Sep 30, 2021 | 1.14 Bn |
Quanta Services Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=PWR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=PWR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();