-
1 Comment
Ameren Corporation is currently in a long term uptrend where the price is trading 2.4% above its 200 day moving average.
From a valuation standpoint, the stock is 63.6% cheaper than other stocks from the Utilities sector with a price to sales ratio of 3.5.
Ameren Corporation's total revenue rose by 0.9% to $1B since the same quarter in the previous year.
Its net income has increased by 22.3% to $115M since the same quarter in the previous year.
Finally, its free cash flow fell by 156.2% to $-392M since the same quarter in the previous year.
Based on the above factors, Ameren Corporation gets an overall score of 4/5.
Exchange | NYSE |
---|---|
CurrencyCode | USD |
ISIN | US0236081024 |
Sector | Utilities |
Industry | Utilities - Regulated Electric |
Target Price | 101.0747 |
---|---|
Dividend Yield | 2.9% |
Beta | 0.47 |
PE Ratio | 22.38 |
Market Cap | 27B |
Ameren Corporation, together with its subsidiaries, operates as a public utility holding company in the United States. The company operates through four segments: Ameren Missouri, Ameren Illinois Electric Distribution, Ameren Illinois Natural Gas, and Ameren Transmission. It engages in the rate-regulated electric generation, transmission, and distribution business; and rate-regulated natural gas distribution business. The company also generates electricity through coal, nuclear, and natural gas, as well as renewable energy, including hydroelectric, wind, methane gas, and solar. It serves residential, commercial, and industrial customers. Ameren Corporation was founded in 1881 and is headquartered in Saint Louis, Missouri.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for AEE using our backtest tool. PyInvesting provides the backtesting software for you to backtest your investment strategy. Our backtest software is written using Python code and allows you to backtest stock, backtest etf, backtest options, backtest crypto and backtest forex online. Our backtesting Python framework is highly robust and gives you a realistic simulation of how your strategy would have performed in the past using backtest data.
© PyInvesting 2025