Construction Partners (ROAD) Long-Term Debt Repayments (2017 - 2026)
Construction Partners (ROAD) recorded Long-Term Debt Repayments of $337.13 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), compared with $2.13 million a year earlier and up 750.8% from the prior quarter.
Construction Partners (ROAD) Long-Term Debt Repayments (2017 - 2026) Analysis & Trends
On a TTM basis, Construction Partners' Long-Term Debt Repayments came in at $396 million as of Jun 30, 2026, up 142.9% year-over-year; for FY2025 (ended Sep 30, 2025), it was $147.35 million, up 102.4% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 37.1% (FY2020 to FY2025).
- Across earlier fiscal years, Long-Term Debt Repayments came in at $72.81 million in FY2024 (-29.4%), $103.13 million in FY2023, $8.13 million in FY2022 (-91.5%) and $95.35 million in FY2021 (+213.5%).
- The fiscal Q3 2026 figure is the highest quarterly Long-Term Debt Repayments in data going back to fiscal Q3 2017.
- On a year-over-year basis, Long-Term Debt Repayments rose in three of the last seven quarters, with growth averaging 93.4%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 660.0% in fiscal Q1 2024, against a decline of 92.5% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $39.63 million (Q2 2026), $9.63 million (Q1 2026) and $9.62 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.97 Bn | 88.05 Bn | 1.55 Bn | 17.83 Bn |
| 2 | Ferrovial | 35.96 Bn | 14.21 Bn | - | - |
| 3 | Emcor | 31.03 Bn | 27.43 Bn | 1.02 Bn | 681,000.00 |
| 4 | Jacobs Solutions | 16.77 Bn | 11.44 Bn | 810.70 Mn | 710.00 Mn |
| 5 | Mastec | 14.08 Bn | 12.87 Bn | 556.28 Mn | 1.69 Bn |
| 6 | Sterling Infrastructure | 12.66 Bn | 10.99 Bn | 289.96 Mn | 3.78 Mn |
| 7 | IES Holdings | 9.42 Bn | 8.28 Bn | 340.66 Mn | 138.36 Mn |
| 8 | Stantec | 8.00 Bn | 6.93 Bn | 1.36 Bn | -72.29 Mn |
| 9 | Aecom | 7.66 Bn | 2.78 Bn | -34.04 Mn | 1.43 Bn |
| 10 | Construction Partners | 4.75 Bn | 4.32 Bn | 168.39 Mn | 337.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 337.13 Mn |
| Mar 31, 2026 | 39.63 Mn |
| Dec 31, 2025 | 9.63 Mn |
| Sep 30, 2025 | 9.62 Mn |
| Jun 30, 2025 | 2.13 Mn |
| Mar 31, 2025 | 7.44 Mn |
| Dec 31, 2024 | 128.16 Mn |
| Sep 30, 2024 | 25.31 Mn |
| Jun 30, 2024 | 20.00 Mn |
| Mar 31, 2024 | 3.75 Mn |
| Dec 31, 2023 | 23.75 Mn |
| Sep 30, 2023 | 93.75 Mn |
| Jun 30, 2023 | 3.13 Mn |
| Mar 31, 2023 | 3.13 Mn |
| Dec 31, 2022 | 3.13 Mn |
| Sep 30, 2022 | 3.13 Mn |
| Mar 31, 2022 | 2.50 Mn |
| Dec 31, 2021 | 2.50 Mn |
| Sep 30, 2021 | 2.50 Mn |
| Jun 30, 2021 | 86.35 Mn |
Construction Partners 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=ROAD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "ROAD", "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=ROAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();