Ameresco (AMRC) Capital Expenditures (2010 - 2025)
Ameresco's Capital Expenditures was $75.24 million in Q3 2025, down 34.2% from $114.41 million a year earlier and down 25.0% from the prior quarter.
Ameresco (AMRC) Capital Expenditures (2010 - 2025) Analysis & Trends
On a trailing twelve-month basis, Ameresco's Capital Expenditures was $358.57 million through Sep 30, 2025, down 17.5% year-over-year; for FY2024, it was $416.99 million, down 22.6% from FY2023.
- Capital Expenditures shows a five-year compound annual growth rate of 25.4% (FY2019 to FY2024).
- In earlier years, Capital Expenditures was $538.42 million in FY2023 (+76.8%), $304.6 million in FY2022 (+78.9%), $170.28 million in FY2021 (-3.1%) and $175.65 million in FY2020 (+30.4%).
- Quarterly Capital Expenditures has moved between $29.02 million (Q4 2021) and $183.99 million (Q3 2023) over five years.
- Compared with a year earlier, Capital Expenditures was higher in two of the last eight quarters, with an average decline of 17.8%.
- The best year-over-year quarter for Capital Expenditures over five years was Q4 2022 (growth of 322.0%); the worst was Q4 2021 (a decline of 42.1%).
- Per Business Quant data, AMRC's Capital Expenditures in the three quarters before Q3 2025 was $100.26 million (Q2 2025), $107.87 million (Q1 2025) and $75.2 million (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 92.79 Bn | 90.87 Bn | 1.55 Bn | 230.96 Mn |
| 2 | Ferrovial | 35.38 Bn | 13.63 Bn | - | - |
| 3 | Emcor | 31.89 Bn | 28.28 Bn | 1.02 Bn | 31.15 Mn |
| 4 | Jacobs Solutions | 16.27 Bn | 10.94 Bn | 810.70 Mn | 25.13 Mn |
| 5 | Mastec | 14.89 Bn | 13.67 Bn | 556.28 Mn | 91.51 Mn |
| 6 | Sterling Infrastructure | 12.96 Bn | 11.29 Bn | 289.96 Mn | 50.02 Mn |
| 7 | IES Holdings | 9.98 Bn | 8.84 Bn | 340.66 Mn | 44.64 Mn |
| 8 | Stantec | 7.83 Bn | 6.75 Bn | 1.36 Bn | -30.00 Mn |
| 9 | Aecom | 7.47 Bn | 2.59 Bn | -34.04 Mn | 40.35 Mn |
| 10 | Ameresco | 992.91 Mn | 673.34 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 74.89 Mn |
| Jun 30, 2025 | 100.41 Mn |
| Mar 31, 2025 | 108.29 Mn |
| Dec 31, 2024 | 76.44 Mn |
| Sep 30, 2024 | 115.40 Mn |
| Jun 30, 2024 | 122.85 Mn |
| Mar 31, 2024 | 106.60 Mn |
| Dec 31, 2023 | 93.99 Mn |
| Sep 30, 2023 | 185.93 Mn |
| Jun 30, 2023 | 172.77 Mn |
| Mar 31, 2023 | 91.44 Mn |
| Dec 31, 2022 | 123.79 Mn |
| Sep 30, 2022 | 58.65 Mn |
| Jun 30, 2022 | 71.07 Mn |
| Mar 31, 2022 | 56.38 Mn |
| Dec 31, 2021 | 31.79 Mn |
| Sep 30, 2021 | 44.01 Mn |
| Jun 30, 2021 | 42.90 Mn |
| Mar 31, 2021 | 56.48 Mn |
| Dec 31, 2020 | 50.39 Mn |
Ameresco Capital Expenditures 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=capital-expenditures&ticker=AMRC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=AMRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();