-
1 Comment
Aberdeen Latin American Income is currently in a long term downtrend where the price is trading 1.1% below its 200 day moving average.
From a valuation standpoint, the stock is 91.5% cheaper than other stocks from the Financial Services sector with a price to sales ratio of 4.5.
Aberdeen Latin American Income's total revenue sank by 0.0% to $2M since the same quarter in the previous year.
Its net income has dropped by 0.0% to $2M since the same quarter in the previous year.
Finally, its free cash flow fell by 72.5% to $189K since the same quarter in the previous year.
Based on the above factors, Aberdeen Latin American Income gets an overall score of 1/5.
| Exchange | LSE |
|---|---|
| CurrencyCode | GBP |
| ISIN | JE00B44ZTP62 |
| Sector | |
| Industry |
| PE Ratio | 15.56 |
|---|---|
| Target Price | None |
| Dividend Yield | 5.8% |
| Beta | 0.6 |
| Market Cap | 36M |
Aberdeen Latin American Income Fund Limited is a closed-ended balanced mutual fund launched by Aberdeen Private Wealth Management Limited. The fund is managed by Aberdeen Asset Managers Limited. It invests in the public equity and fixed income markets of Latin America. The fund seeks to invest in securities of companies operating across diversified sectors. It benchmarks the performance of its portfolio against a composite benchmark comprised of 60% MSCI EM Latin American 10/40 Index and 40% JP Morgan GBI EM Global Diversified (Latin America carve out). Aberdeen Latin American Income Fund Limited was formed in August 2010 and is domiciled in Jersey.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for ALAI.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
