Ameresco (AMRC) Long-Term Debt Repayments (2010 - 2025)
Ameresco's Long-Term Debt Repayments came in at $1.25 million for Q3 2025, unchanged from the prior quarter.
Ameresco (AMRC) Long-Term Debt Repayments (2010 - 2025) Analysis & Trends
Over the trailing twelve months to Sep 30, 2025, Ameresco reported Long-Term Debt Repayments of $75 million; for FY2024, it came in at $127 million, down 18.1% from FY2023.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of 34.9% (FY2019 to FY2024).
- Going back by year, Long-Term Debt Repayments was $155 million in FY2023 (+193.5%), $52.81 million in FY2022 (-46.2%), $98.2 million in FY2021 (+33.4%) and $73.63 million in FY2020 (+159.0%).
- The five-year range for quarterly Long-Term Debt Repayments is -$58.53 million (Q4 2022) to $82.75 million (Q3 2023).
- Year-over-year, Long-Term Debt Repayments increased in 1 of the last four quarters, with an average decline of 21.1%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q3 2023 (growth of 702.9%), and the weakest in Q2 2025 (a decline of 96.4%).
- Business Quant data shows AMRC's Long-Term Debt Repayments at $1.25 million (Q2 2025), $14.25 million (Q1 2025) and $58.25 million (Q4 2024) in the three quarters before Q3 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 92.79 Bn | 90.87 Bn | 1.55 Bn | 17.83 Bn |
| 2 | Ferrovial | 35.38 Bn | 13.63 Bn | - | - |
| 3 | Emcor | 31.89 Bn | 28.28 Bn | 1.02 Bn | 681,000.00 |
| 4 | Jacobs Solutions | 16.27 Bn | 10.94 Bn | 810.70 Mn | 710.00 Mn |
| 5 | Mastec | 14.89 Bn | 13.67 Bn | 556.28 Mn | 1.69 Bn |
| 6 | Sterling Infrastructure | 12.96 Bn | 11.29 Bn | 289.96 Mn | 3.78 Mn |
| 7 | IES Holdings | 9.98 Bn | 8.84 Bn | 340.66 Mn | 138.36 Mn |
| 8 | Stantec | 7.83 Bn | 6.75 Bn | 1.36 Bn | -72.29 Mn |
| 9 | Aecom | 7.47 Bn | 2.59 Bn | -34.04 Mn | 1.43 Bn |
| 10 | Ameresco | 992.91 Mn | 673.34 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 39.49 Mn |
| Jun 30, 2025 | 96.29 Mn |
| Mar 31, 2025 | 73.44 Mn |
| Dec 31, 2024 | 89.82 Mn |
| Sep 30, 2024 | 222.13 Mn |
| Jun 30, 2024 | 151.78 Mn |
| Mar 31, 2024 | 25.76 Mn |
| Dec 31, 2023 | 37.81 Mn |
| Sep 30, 2023 | 123.91 Mn |
| Jun 30, 2023 | 126.18 Mn |
| Mar 31, 2023 | 15.16 Mn |
| Dec 31, 2022 | 50.52 Mn |
| Sep 30, 2022 | 10.31 Mn |
| Jun 30, 2022 | 23.60 Mn |
| Mar 31, 2022 | 77.43 Mn |
| Dec 31, 2021 | 42.58 Mn |
| Sep 30, 2021 | 21.95 Mn |
| Jun 30, 2021 | 14.59 Mn |
| Mar 31, 2021 | 19.07 Mn |
| Dec 31, 2020 | 31.08 Mn |
Ameresco 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=AMRC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "AMRC", "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=AMRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();