-
1 Comment
Aberdeen Smaller Companies Income Trust is currently in a long term uptrend where the price is trading 10.7% above its 200 day moving average.
From a valuation standpoint, the stock is 94.9% cheaper than other stocks from the Financial Services sector with a price to sales ratio of 2.7.
Finally, its free cash flow fell by 0.0% to $450K since the same quarter in the previous year.
Based on the above factors, Aberdeen Smaller Companies Income Trust gets an overall score of 2/5.
Exchange | LSE |
---|---|
CurrencyCode | GBP |
ISIN | GB0008063728 |
Sector | |
Industry |
Beta | 0.97 |
---|---|
Market Cap | 56M |
PE Ratio | None |
Target Price | None |
Dividend Yield | 0.0% |
Aberdeen Smaller Companies Income Trust PLC is a closed ended balanced mutual fund launched by Aberdeen Fund Managers Limited. The fund is managed by Aberdeen Asset Managers Limited. It invests in the public equity and fixed income markets of the United Kingdom. The fund seeks to invest in securities of companies operating across diversified sectors. It primarily invests in stocks of small cap companies, as well as in fixed income securities issued by a variety of issuers. The fund employs fundamental analysis with both top-down and bottom-up security selection approaches to create its portfolio. It benchmarks the performance of its portfolio against the FTSE SmallCap Index - excluding Investment Companies. The fund was formerly known as Aberdeen Smaller Companies High Income Trust PLC. Aberdeen Smaller Companies Income Trust PLC was formed in 1992 and is domiciled in the United Kingdom.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for ASCI.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 2025