Ameren (AEE) Weighted Average Shares Outstanding (2009 - 2026)
Ameren's Weighted Average Shares Outstanding was 276.8 million in Q2 2026, up 2.4% from 270.3 million a year earlier and up 0.1% from the prior quarter.
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Analysis
Ameren (AEE) Weighted Average Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding at Ameren came in at 270.5 million, up 1.4% from FY2024.
- Weighted Average Shares Outstanding has now increased for eight consecutive years, with a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding was 266.8 million in FY2024 (+1.5%), 262.8 million in FY2023 (+1.7%), 258.4 million in FY2022 (+0.8%) and 256.3 million in FY2021 (+3.8%).
- The Q2 2026 figure marks the highest quarterly Weighted Average Shares Outstanding in data going back to Q1 2009.
- Compared with a year earlier, Weighted Average Shares Outstanding has increased for 34 straight quarters, with growth averaging 1.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Weighted Average Shares Outstanding ran from 0.4% in Q3 2022 to 4.1% in Q3 2021.
- Per Business Quant data, AEE's Weighted Average Shares Outstanding in the three quarters before Q2 2026 was 276.5 million (Q1 2026), 270.5 million (Q4 2025) and 270.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Wisconsin Electric Power | 99,216.00 Bn | 99,215.99 Bn | 911.30 Mn |
| 2 | Enel Chile | 301.57 Bn | 301.57 Bn | 1.33 Bn |
| 3 | Nextera Energy | 180.93 Bn | 179.04 Bn | - |
| 4 | Southern | 109.04 Bn | 101.70 Bn | 7.31 Bn |
| 5 | Duke Energy | 100.59 Bn | 99.24 Bn | 6.37 Bn |
| 6 | National Grid | 86.94 Bn | 59.27 Bn | - |
| 7 | American Electric Power | 69.61 Bn | 68.67 Bn | 4.75 Bn |
| 8 | Entergy | 53.37 Bn | 42.94 Bn | - |
| 9 | Sempra | 51.29 Bn | 84.11 Bn | - |
| 10 | Ameren | 31.48 Bn | 31.53 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 276.80 Mn |
| Jun 30, 2026 | 276.80 Mn |
| Mar 31, 2026 | 276.50 Mn |
| Dec 31, 2025 | 270.50 Mn |
| Sep 30, 2025 | 270.40 Mn |
| Jun 30, 2025 | 270.30 Mn |
| Mar 31, 2025 | 270.00 Mn |
| Dec 31, 2024 | 266.80 Mn |
| Sep 30, 2024 | 266.80 Mn |
| Jun 30, 2024 | 266.70 Mn |
| Mar 31, 2024 | 266.40 Mn |
| Dec 31, 2023 | 262.80 Mn |
| Sep 30, 2023 | 262.80 Mn |
| Jun 30, 2023 | 262.60 Mn |
| Mar 31, 2023 | 262.20 Mn |
| Dec 31, 2022 | 258.40 Mn |
| Sep 30, 2022 | 258.40 Mn |
| Jun 30, 2022 | 258.20 Mn |
| Mar 31, 2022 | 257.90 Mn |
| Dec 31, 2021 | 256.30 Mn |
API Access
Ameren Weighted Average Shares Outstanding 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=weighted-average-shares-outstanding&ticker=AEE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding", "ticker": "AEE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=weighted-average-shares-outstanding&ticker=AEE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();