Ameresco (AMRC) Cost of Revenue (2011 - 2025)
Ameresco's Cost of Revenue was $441.66 million in Q3 2025, up 4.2% from $423.73 million a year earlier and up 10.7% from the prior quarter.
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Analysis
Ameresco (AMRC) Cost of Revenue (2011 - 2025) Analysis & Trends
On a trailing twelve-month basis, Ameresco's Cost of Revenue was $1.61 billion through Sep 30, 2025, up 13.6% year-over-year; for FY2024, it was $1.51 billion, up 34.2% from FY2023.
- Cost of Revenue shows a five-year compound annual growth rate of 16.7% (FY2019 to FY2024).
- In earlier years, Cost of Revenue was $1.13 billion in FY2023 (-26.4%), $1.53 billion in FY2022 (+55.6%), $985.34 million in FY2021 (+16.6%) and $844.73 million in FY2020 (+20.9%).
- Quarterly Cost of Revenue has moved between $205.29 million (Q1 2021) and $496.09 million (Q2 2022) over five years.
- Compared with a year earlier, Cost of Revenue has increased for eight straight quarters, with growth averaging 25.3% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was Q2 2022 (growth of 124.9%); the worst was Q2 2023 (a decline of 45.9%).
- Per Business Quant data, AMRC's Cost of Revenue in the three quarters before Q3 2025 was $398.93 million (Q2 2025), $300.91 million (Q1 2025) and $465.88 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 92.79 Bn | 90.87 Bn | 1.55 Bn | 8.01 Bn |
| 2 | Ferrovial | 35.38 Bn | 13.63 Bn | - | - |
| 3 | Emcor | 31.89 Bn | 28.28 Bn | 1.02 Bn | 4.13 Bn |
| 4 | Jacobs Solutions | 16.27 Bn | 10.94 Bn | 810.70 Mn | 3.27 Bn |
| 5 | Mastec | 14.89 Bn | 13.67 Bn | 556.28 Mn | 3.82 Bn |
| 6 | Sterling Infrastructure | 12.96 Bn | 11.29 Bn | 289.96 Mn | 878.22 Mn |
| 7 | IES Holdings | 9.98 Bn | 8.84 Bn | 340.66 Mn | 902.04 Mn |
| 8 | Stantec | 7.83 Bn | 6.75 Bn | 1.36 Bn | 1.15 Bn |
| 9 | Aecom | 7.47 Bn | 2.59 Bn | -34.04 Mn | 3.62 Bn |
| 10 | Ameresco | 992.91 Mn | 673.34 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 441.66 Mn |
| Jun 30, 2025 | 398.93 Mn |
| Mar 31, 2025 | 300.91 Mn |
| Dec 31, 2024 | 465.88 Mn |
| Sep 30, 2024 | 423.73 Mn |
| Jun 30, 2024 | 372.81 Mn |
| Mar 31, 2024 | 251.41 Mn |
| Dec 31, 2023 | 367.19 Mn |
| Sep 30, 2023 | 271.49 Mn |
| Jun 30, 2023 | 268.43 Mn |
| Mar 31, 2023 | 221.09 Mn |
| Dec 31, 2022 | 270.13 Mn |
| Sep 30, 2022 | 361.74 Mn |
| Jun 30, 2022 | 496.09 Mn |
| Mar 31, 2022 | 405.62 Mn |
| Dec 31, 2021 | 344.58 Mn |
| Sep 30, 2021 | 214.87 Mn |
| Jun 30, 2021 | 220.60 Mn |
| Mar 31, 2021 | 205.29 Mn |
| Dec 31, 2020 | 256.10 Mn |
API Access
Ameresco Cost of Revenue 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=cost-of-revenue&ticker=AMRC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=AMRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();