-
1 Comment
Securities Trust of Scotland plc is currently in a long term uptrend where the price is trading 5.1% above its 200 day moving average.
From a valuation standpoint, the stock is 83.2% cheaper than other stocks from the Financial Services sector with a price to sales ratio of 8.9.
Securities Trust of Scotland plc's total revenue sank by 0.0% to $13M since the same quarter in the previous year.
Its net income has dropped by 0.0% to $12M since the same quarter in the previous year.
Finally, its free cash flow grew by 35.6% to $3M since the same quarter in the previous year.
Based on the above factors, Securities Trust of Scotland plc gets an overall score of 3/5.
Industry | Asset Management |
---|---|
ISIN | GB00B09G3N23 |
Sector | Financial Services |
CurrencyCode | GBP |
Exchange | LSE |
Dividend Yield | 2.6% |
---|---|
Market Cap | 219M |
PE Ratio | 14.73 |
Target Price | None |
Beta | 0.5 |
Securities Trust of Scotland plc is a closed-ended equity mutual fund launched and managed by Martin Currie Fund Management Limited. It is co-managed by Martin Currie Investment Management Limited. The fund invests in public equity markets across the globe. It seeks to invest in stocks of companies operating across diversified sectors. The fund invests in stocks of large-cap companies with market capitalizations over £1 billion. It benchmarks the performance of its portfolio against the MSCI World High Dividend Yield Index. Securities Trust of Scotland plc was formed on June 28, 2005 and is domiciled in the United Kingdom.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for STS.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