Ameresco (AMRC) Operating Expenses (2010 - 2025)
Ameresco (AMRC) posted Operating Expenses of $43.37 million for Q3 2025, up 2.9% from $42.14 million a year earlier but down 5.2% from the prior quarter.
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Analysis
Ameresco (AMRC) Operating Expenses (2010 - 2025) Analysis & Trends
For the trailing twelve months through Sep 30, 2025, Operating Expenses at Ameresco was $175.44 million, up 7.9% year-over-year; for FY2024, it came in at $173.76 million, up 7.2% from FY2023.
- Annual Operating Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 8.3% (FY2019 to FY2024).
- In prior years, Ameresco's Operating Expenses was $162.14 million in FY2023 (+1.7%), $159.49 million in FY2022 (+20.0%), $132.9 million in FY2021 (+14.5%) and $116.05 million in FY2020 (-0.4%).
- Quarterly Operating Expenses has run from a low of $28.6 million in Q1 2021 to a high of $47.84 million in Q4 2024 over five years.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with growth averaging 3.5%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2022, with growth of 41.0%; the weakest was Q4 2023, with a decline of 7.0%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $45.73 million (Q2 2025), $38.49 million (Q1 2025) and $47.84 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 92.79 Bn | 90.87 Bn | 1.55 Bn | 698.49 Mn |
| 2 | Ferrovial | 35.38 Bn | 13.63 Bn | - | - |
| 3 | Emcor | 31.89 Bn | 28.28 Bn | 1.02 Bn | 475.04 Mn |
| 4 | Jacobs Solutions | 16.27 Bn | 10.94 Bn | 810.70 Mn | 524.00 Mn |
| 5 | Mastec | 14.89 Bn | 13.67 Bn | 556.28 Mn | 292.57 Mn |
| 6 | Sterling Infrastructure | 12.96 Bn | 11.29 Bn | 289.96 Mn | 65.66 Mn |
| 7 | IES Holdings | 9.98 Bn | 8.84 Bn | 340.66 Mn | 162.17 Mn |
| 8 | Stantec | 7.83 Bn | 6.75 Bn | 1.36 Bn | 972.05 Mn |
| 9 | Aecom | 7.47 Bn | 2.59 Bn | -34.04 Mn | 46.45 Mn |
| 10 | Ameresco | 992.91 Mn | 673.34 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 43.37 Mn |
| Jun 30, 2025 | 45.73 Mn |
| Mar 31, 2025 | 38.49 Mn |
| Dec 31, 2024 | 47.84 Mn |
| Sep 30, 2024 | 42.14 Mn |
| Jun 30, 2024 | 44.23 Mn |
| Mar 31, 2024 | 39.56 Mn |
| Dec 31, 2023 | 36.67 Mn |
| Sep 30, 2023 | 42.75 Mn |
| Jun 30, 2023 | 41.41 Mn |
| Mar 31, 2023 | 41.30 Mn |
| Dec 31, 2022 | 39.45 Mn |
| Sep 30, 2022 | 41.11 Mn |
| Jun 30, 2022 | 38.60 Mn |
| Mar 31, 2022 | 40.33 Mn |
| Dec 31, 2021 | 37.25 Mn |
| Sep 30, 2021 | 35.17 Mn |
| Jun 30, 2021 | 31.88 Mn |
| Mar 31, 2021 | 28.60 Mn |
| Dec 31, 2020 | 33.65 Mn |
API Access
Ameresco Operating Expenses 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=operating-expenses&ticker=AMRC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=AMRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();