-
1 Comment
Amplefield Limited is currently in a long term downtrend where the price is trading 8.4% below its 200 day moving average.
From a valuation standpoint, the stock is 34.7% more expensive than other stocks from the Real Estate sector with a price to sales ratio of 12.6.
Amplefield Limited's total revenue rose by 201.9% to $2M since the same quarter in the previous year.
Its net income has dropped by 51.4% to $348K since the same quarter in the previous year.
Finally, its free cash flow fell by 113.4% to $-218K since the same quarter in the previous year.
Based on the above factors, Amplefield Limited gets an overall score of 1/5.
Exchange | SG |
---|---|
CurrencyCode | SGD |
ISIN | SG1AG0000003 |
Sector | Real Estate |
Industry | Real Estate - Diversified |
Target Price | None |
---|---|
PE Ratio | 0.0 |
Market Cap | 20M |
Beta | 0.71 |
Dividend Yield | None |
Amplefield Limited, an investment holding company, engages in the property development, construction, and facility provision activities in Malaysia and the Philippines. It also offers administrative, management, and trading services, as well as engineering, procurement, and construction management services. In addition, the company involves in components manufacturing, precision machining, and precision assembly business. The company serves diverse industries, such as automotive, medical, telecommunications, electronics, and semiconductors. The company was incorporated in 1989 and is headquartered in Kuala Lumpur, Malaysia. Amplefield Limited is a subsidiary of Olander Limited.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for AOF.SG 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