-
1 Comment
Saga plc is currently in a long term uptrend where the price is trading 22.4% above its 200 day moving average.
From a valuation standpoint, the stock is 99.1% cheaper than other stocks from the Financial Services sector with a price to sales ratio of 0.5.
Based on the above factors, Saga plc gets an overall score of 2/5.
| ISIN | GB00BMX64W89 |
|---|---|
| Industry | Insurance-Diversified |
| Sector | Financial Services |
| CurrencyCode | GBP |
| Exchange | LSE |
| PE Ratio | None |
|---|---|
| Beta | 2.48 |
| Target Price | 190 |
| Dividend Yield | 0.0% |
| Market Cap | 189M |
Saga plc provides general insurance, package and cruise holidays, and personal finance products and services in the United Kingdom. The company operates in three segments: Insurance, Travel, and Other Businesses and Central Costs. It offers car, home, health, travel, landlord, boat, motorhome, caravan, pet, personal accident, breakdown cover, building, content, renter, holiday, and holiday home insurance. The company also operates and delivers package tours and cruise holiday products; and provides equity release and care funding advice, savings accounts, credit cards, and wealth management services, as well as shares ISA and share dealing services. In addition, it offers mailing house services; retirement benefit schemes; and publishes Saga Magazine, as well as repairs automotive vehicles. The company was formerly known as Saga Limited and changed its name to Saga plc in May 2014. The company was founded in 1950 and is headquartered in Folkestone, the United Kingdom.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for SAGA.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
