-
1 Comment
G4S plc is currently in a long term uptrend where the price is trading 5.4% above its 200 day moving average.
From a valuation standpoint, the stock is 96.1% cheaper than other stocks from the Industrials sector with a price to sales ratio of 0.5.
Based on the above factors, G4S plc gets an overall score of 2/5.
Sector | Industrials |
---|---|
CurrencyCode | GBP |
Exchange | LSE |
ISIN | GB00B01FLG62 |
Industry | Security & Protection Services |
Dividend Yield | 0.0% |
---|---|
Market Cap | 4B |
Beta | 1.3 |
Target Price | 241 |
PE Ratio | 222.55 |
G4S plc, together with its subsidiaries, provides security and related services in Africa, the Americas, Asia, Europe, and the Middle East. The company offers software tools, including evidence based risk assessment, incident management, and travel advisory systems, such as RISK360; and proprietary security systems comprising symmetry connect access control and visitor management systems. It also provides custody, detention, rehabilitation, and care services; automated cash solutions for retailers, automated bulk-teller solution for banks, and mobile banking services, as well as G4S Pay, a retail cash solution; and security advice, risk mitigation strategies, secure support, and integrated solutions. The company serves corporates and industrials, government, financial institutions, private energy/utilities, and ports and airports, as well as the retail, transport and logistics, and leisure and tourism sectors. G4S plc was founded in 1901 and is based in London, the United Kingdom. As of April 12, 2021, G4S plc operates as a subsidiary of Allied Universal Security Services LLC.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for GFS.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