-
1 Comment
Aemulus Holdings Bhd is currently in a long term uptrend where the price is trading 9.4% above its 200 day moving average.
From a valuation standpoint, the stock is 184.9% more expensive than other stocks from the Other sector with a price to sales ratio of 18.3.
Aemulus Holdings Bhd's total revenue rose by 163.6% to $11M since the same quarter in the previous year.
Its net income has increased by 175.7% to $2M since the same quarter in the previous year.
Finally, its free cash flow grew by 34.0% to $-5M since the same quarter in the previous year.
Based on the above factors, Aemulus Holdings Bhd gets an overall score of 4/5.
| Exchange | KLSE |
|---|---|
| CurrencyCode | MYR |
| ISIN | MYQ0181OO006 |
| Sector | Technology |
| Industry | Semiconductor Equipment & Materials |
| Beta | 0.84 |
|---|---|
| PE Ratio | 15.5 |
| Target Price | 0.38 |
| Market Cap | 104M |
| Dividend Yield | None |
Aemulus Holdings Berhad, an investment holding company, designs and develops automated test equipment, and test and measurement instruments in Malaysia, China, Singapore, Vietnam, Korea, the United States, Taiwan, and internationally. It offers include Amoeba 7600-SR, Amoeba5600, Amoeba 4200, and Amoeba 1831 equipment. The company also provides design consultancy and test-related services. In addition, it engages in the research and development of semiconductor automated test equipment and related software with focus on radio frequency frontend, analogue, digital, mixed signal, and power discrete semiconductor test market. Aemulus Holdings Berhad was founded in 2004 and is based in Bayan Lepas, Malaysia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 0181.KLSE 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 2026
