Ameresco (AMRC) Shares Outstanding (Diluted) (2010 - 2025)
Ameresco (AMRC) reported Shares Outstanding (Diluted) of 53.37 million for Q4 2025, up 0.4% from 53.14 million a year earlier and unchanged from the prior quarter.
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Analysis
Ameresco (AMRC) Shares Outstanding (Diluted) (2010 - 2025) Analysis & Trends
Dating back to Q1 2010, Ameresco's Shares Outstanding (Diluted) record includes 64 quarters.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 53.14 million in FY2024 (-0.2%), 53.23 million in FY2023 (-0.1%), 53.28 million in FY2022 (+1.9%) and 52.27 million in FY2021 (+6.7%).
- Five-year quarterly Shares Outstanding (Diluted) spans a low of 50.36 million in Q1 2021 and a high of 53.64 million in Q1 2022.
- Year over year, Shares Outstanding (Diluted) gained in three of the last eight quarters, with an average decline of 0.2%.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q2 2021 (growth of 8.3%); the low point was Q1 2024 (a decline of 1.8%).
- Per Business Quant data, the three quarters before Q4 2025 came in at 53.37 million (Q3 2025), 52.82 million (Q2 2025) and 52.54 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 92.79 Bn | 90.87 Bn | 1.55 Bn | 152.44 Mn |
| 2 | Ferrovial | 35.38 Bn | 13.63 Bn | - | 718.72 Mn |
| 3 | Emcor | 31.89 Bn | 28.28 Bn | 1.02 Bn | 44.55 Mn |
| 4 | Jacobs Solutions | 16.27 Bn | 10.94 Bn | 810.70 Mn | 118.90 Mn |
| 5 | Mastec | 14.89 Bn | 13.67 Bn | 556.28 Mn | 78.87 Mn |
| 6 | Sterling Infrastructure | 12.96 Bn | 11.29 Bn | 289.96 Mn | 31.14 Mn |
| 7 | IES Holdings | 9.98 Bn | 8.84 Bn | 340.66 Mn | 40.40 Mn |
| 8 | Stantec | 7.83 Bn | 6.75 Bn | 1.36 Bn | 114.07 Mn |
| 9 | Aecom | 7.47 Bn | 2.59 Bn | -34.04 Mn | 128.60 Mn |
| 10 | Ameresco | 992.91 Mn | 673.34 Mn | - | 53.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 53.37 Mn |
| Sep 30, 2025 | 53.37 Mn |
| Jun 30, 2025 | 52.82 Mn |
| Mar 31, 2025 | 52.54 Mn |
| Dec 31, 2024 | 53.14 Mn |
| Sep 30, 2024 | 53.24 Mn |
| Jun 30, 2024 | 53.11 Mn |
| Mar 31, 2024 | 52.29 Mn |
| Dec 31, 2023 | 53.23 Mn |
| Sep 30, 2023 | 53.30 Mn |
| Jun 30, 2023 | 53.21 Mn |
| Mar 31, 2023 | 53.26 Mn |
| Dec 31, 2022 | 53.28 Mn |
| Sep 30, 2022 | 53.30 Mn |
| Jun 30, 2022 | 53.17 Mn |
| Mar 31, 2022 | 53.64 Mn |
| Dec 31, 2021 | 52.27 Mn |
| Sep 30, 2021 | 52.84 Mn |
| Jun 30, 2021 | 52.57 Mn |
| Mar 31, 2021 | 50.36 Mn |
API Access
Ameresco Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=AMRC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=AMRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();