-
1 Comment
OGE Energy Corp is currently in a long term uptrend where the price is trading 4.4% above its 200 day moving average.
From a valuation standpoint, the stock is 67.8% cheaper than other stocks from the Utilities sector with a price to sales ratio of 3.1.
OGE Energy Corp's total revenue rose by 2.7% to $485M since the same quarter in the previous year.
Its net income has increased by 54.8% to $55M since the same quarter in the previous year.
Finally, its free cash flow fell by 141.4% to $-43M since the same quarter in the previous year.
Based on the above factors, OGE Energy Corp gets an overall score of 4/5.
Industry | Utilities-Regulated Electric |
---|---|
Sector | Utilities |
CurrencyCode | USD |
Exchange | NYSE |
ISIN | US6708371033 |
Target Price | 38.33 |
---|---|
Beta | 0.69 |
Market Cap | 8B |
PE Ratio | 11.66 |
Dividend Yield | 4.3% |
OGE Energy Corp., together with its subsidiaries, operates as an energy and energy services provider that offers physical delivery and related services in the United States. It operates through Electric Company Operations and Natural Gas Midstream segments. The company generates, transmits, distributes, and sells electric energy. In addition, it provides retail electric service to approximately 889,000 customers, which covers a service area of approximately 30,000 square miles in Oklahoma and western Arkansas; and owns and operates coal-fired, natural gas-fired, wind-powered, and solar-powered generating assets. OGE Energy Corp. was founded in 1902 and is headquartered in Oklahoma City, Oklahoma.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for OGE 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