Ameresco (AMRC) EBITDA (2010 - 2025)
Ameresco (AMRC) recorded EBITDA of $69.07 million in Q3 2025, up 20.4% from $57.37 million a year earlier and up 31.9% from the prior quarter.
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Analysis
Ameresco (AMRC) EBITDA (2010 - 2025) Analysis & Trends
On a TTM basis, Ameresco's EBITDA came in at $228.42 million as of Sep 30, 2025, up 31.0% year-over-year; for FY2024, it was $192.99 million, up 34.0% from FY2023.
- Annual EBITDA has a five-year compound annual growth rate of 17.0% (FY2019 to FY2024).
- Across earlier years, EBITDA came in at $143.97 million in FY2023 (-22.0%), $184.61 million in FY2022 (+32.9%), $138.87 million in FY2021 (+26.0%) and $110.22 million in FY2020 (+25.2%).
- Quarterly EBITDA has ranged from $22.74 million in Q1 2023 to $69.92 million in Q4 2024 over the past five years.
- On a year-over-year basis, EBITDA has increased for eight consecutive quarters, with growth averaging 33.2% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 74.1% in Q2 2022, against a decline of 44.6% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $52.37 million (Q2 2025), $37.06 million (Q1 2025) and $69.92 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 88.95 Bn | 87.03 Bn | 1.55 Bn | 968.93 Mn |
| 2 | Ferrovial | 35.34 Bn | 13.59 Bn | - | - |
| 3 | Emcor | 30.93 Bn | 27.32 Bn | 1.02 Bn | 601.60 Mn |
| 4 | Jacobs Solutions | 16.26 Bn | 10.93 Bn | 810.70 Mn | 343.89 Mn |
| 5 | Mastec | 14.56 Bn | 13.34 Bn | 556.28 Mn | 351.08 Mn |
| 6 | Sterling Infrastructure | 12.60 Bn | 10.93 Bn | 289.96 Mn | 244.44 Mn |
| 7 | IES Holdings | 9.62 Bn | 8.48 Bn | 340.66 Mn | 195.65 Mn |
| 8 | Stantec | 7.87 Bn | 6.80 Bn | 1.36 Bn | 458.26 Mn |
| 9 | Aecom | 7.54 Bn | 2.66 Bn | -34.04 Mn | -20.06 Mn |
| 10 | Ameresco | 1.01 Bn | 688.37 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 70.64 Mn |
| Jun 30, 2025 | 53.76 Mn |
| Mar 31, 2025 | 38.51 Mn |
| Dec 31, 2024 | 71.31 Mn |
| Sep 30, 2024 | 58.81 Mn |
| Jun 30, 2024 | 41.39 Mn |
| Mar 31, 2024 | 26.64 Mn |
| Dec 31, 2023 | 52.10 Mn |
| Sep 30, 2023 | 38.29 Mn |
| Jun 30, 2023 | 34.26 Mn |
| Mar 31, 2023 | 23.53 Mn |
| Dec 31, 2022 | 36.90 Mn |
| Sep 30, 2022 | 53.15 Mn |
| Jun 30, 2022 | 56.85 Mn |
| Mar 31, 2022 | 41.92 Mn |
| Dec 31, 2021 | 44.55 Mn |
| Sep 30, 2021 | 35.65 Mn |
| Jun 30, 2021 | 32.70 Mn |
| Mar 31, 2021 | 28.82 Mn |
| Dec 31, 2020 | 35.11 Mn |
API Access
Ameresco EBITDA 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=ebitda&ticker=AMRC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=AMRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();