-
1 Comment
BP p.l.c is currently in a long term uptrend where the price is trading 1.8% above its 200 day moving average.
From a valuation standpoint, the stock is 100.0% cheaper than other stocks from the Energy sector with a price to sales ratio of 0.0.
BP p.l.c's total revenue sank by 37.0% to $45B since the same quarter in the previous year.
Its net income has increased by 7047.4% to $1B since the same quarter in the previous year.
Finally, its free cash flow fell by 117.8% to $-653M since the same quarter in the previous year.
Based on the above factors, BP p.l.c gets an overall score of 3/5.
Industry | Oil & Gas Integrated |
---|---|
CurrencyCode | GBP |
Exchange | LSE |
Sector | Energy |
ISIN | None |
Beta | 0.61 |
---|---|
Target Price | None |
Dividend Yield | 5.1% |
PE Ratio | None |
Market Cap | 117B |
BP p.l.c. provides carbon products and services. The company operates through Gas & Low Carbon Energy, Oil Production & Operations, and Customers & Products segments. It engages in the production of natural gas, and integrated gas and power; trading of gas; operation of onshore and offshore wind power, as well as hydrogen and carbon capture and storage facilities; trading and marketing of renewable and non-renewable power; and production of crude oil. In addition, the company involved in convenience and retail fuel, EV charging, Castrol lubricant, aviation, B2B, and midstream businesses; refining and oil trading; and bioenergy business. Further, it engages in power and storage, digital transformation, carbon management, and bio and low carbon related products, as well as energy and environmental commodities and mobility businesses. The company was founded in 1908 and is headquartered in London, the United Kingdom.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for BP-B.LSE 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