Mastec (MTZ) Long-Term Debt Repayments (2009 - 2026)
Mastec (MTZ) posted Long-Term Debt Repayments of $2.77 billion for Q3 2026, up 86.4% from $1.48 billion a year earlier and up 64.1% from the prior quarter.
Mastec (MTZ) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Long-Term Debt Repayments at Mastec was $6.91 billion, up 23.5% year-over-year; for FY2025, it was $5.7 billion, up 1.3% from FY2024.
- Annual Long-Term Debt Repayments has increased for four consecutive years, with a five-year compound annual growth rate of 20.3% (FY2020 to FY2025).
- In prior years, Mastec's Long-Term Debt Repayments was $5.63 billion in FY2024 (+20.4%), $4.68 billion in FY2023 (+36.7%), $3.42 billion in FY2022 (+252.5%) and $971 million in FY2021 (-57.2%).
- The Q3 2026 figure stands as the highest quarterly Long-Term Debt Repayments in data going back to Q3 2010.
- On a year-over-year basis, Long-Term Debt Repayments increased in five of the last eight quarters, with growth averaging 18.9%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q4 2021, with growth of 394.5%; the weakest was Q1 2025, with a decline of 53.6%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $1.69 billion (Q2 2026), $1.21 billion (Q1 2026) and $1.25 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 87.86 Bn | 84.32 Bn | 2.01 Bn | 10.18 Bn |
| 2 | Ferrovial | 43.95 Bn | 24.55 Bn | - | - |
| 3 | Emcor | 28.40 Bn | 24.67 Bn | 1.11 Bn | 689,000.00 |
| 4 | Jacobs Solutions | 18.40 Bn | 13.04 Bn | 810.70 Mn | 710.00 Mn |
| 5 | Mastec | 14.54 Bn | 13.22 Bn | 660.86 Mn | 2.77 Bn |
| 6 | Aecom | 9.09 Bn | 4.41 Bn | -34.04 Mn | 1.43 Bn |
| 7 | Sterling Infrastructure | 8.86 Bn | 7.32 Bn | 377.28 Mn | 353.87 Mn |
| 8 | Stantec | 8.64 Bn | 7.57 Bn | 1.36 Bn | -72.29 Mn |
| 9 | IES Holdings | 6.87 Bn | 5.74 Bn | 340.66 Mn | 138.36 Mn |
| 10 | Dycom Industries | 6.60 Bn | 4.90 Bn | 440.55 Mn | 97,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.77 Bn |
| Jun 30, 2026 | 1.69 Bn |
| Mar 31, 2026 | 1.21 Bn |
| Dec 31, 2025 | 1.25 Bn |
| Sep 30, 2025 | 1.48 Bn |
| Jun 30, 2025 | 2.40 Bn |
| Mar 31, 2025 | 567.98 Mn |
| Dec 31, 2024 | 1.14 Bn |
| Sep 30, 2024 | 1.28 Bn |
| Jun 30, 2024 | 1.98 Bn |
| Mar 31, 2024 | 1.22 Bn |
| Dec 31, 2023 | 1.29 Bn |
| Sep 30, 2023 | 1.72 Bn |
| Jun 30, 2023 | 717.76 Mn |
| Mar 31, 2023 | 948.24 Mn |
| Dec 31, 2022 | 861.77 Mn |
| Sep 30, 2022 | 736.38 Mn |
| Jun 30, 2022 | 927.78 Mn |
| Mar 31, 2022 | 896.68 Mn |
| Dec 31, 2021 | 246.98 Mn |
Mastec 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=MTZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "MTZ", "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=MTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();