-
1 Comment
American Electric Power Company, Inc is currently in a long term uptrend where the price is trading 1.1% above its 200 day moving average.
From a valuation standpoint, the stock is 69.8% cheaper than other stocks from the Utilities sector with a price to sales ratio of 2.9.
American Electric Power Company, Inc's total revenue sank by 0.1% to $4B since the same quarter in the previous year.
Its net income has increased by 165.7% to $408M since the same quarter in the previous year.
Finally, its free cash flow grew by 18.9% to $-645M since the same quarter in the previous year.
Based on the above factors, American Electric Power Company, Inc gets an overall score of 4/5.
Industry | Utilities-Regulated Electric |
---|---|
Sector | Utilities |
CurrencyCode | USD |
Exchange | NASDAQ |
ISIN | US0255371017 |
PE Ratio | 20.93 |
---|---|
Market Cap | 48B |
Target Price | 102.58 |
Dividend Yield | 3.5% |
Beta | 0.44 |
American Electric Power Company, Inc., an electric public utility holding company, engages in the generation, transmission, and distribution of electricity for sale to retail and wholesale customers in the United States. It operates through Vertically Integrated Utilities, Transmission and Distribution Utilities, AEP Transmission Holdco, and Generation & Marketing segments. The company generates electricity using coal and lignite, natural gas, renewable, nuclear, hydro, solar, wind, and other energy sources. It also supplies and markets electric power at wholesale to other electric utility companies, rural electric cooperatives, municipalities, and other market participants. The company was incorporated in 1906 and is headquartered in Columbus, Ohio.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for AEP 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 2024