-
1 Comment
SMRT Holdings Bhd is currently in a long term uptrend where the price is trading 1.4% above its 200 day moving average.
From a valuation standpoint, the stock is 92.2% cheaper than other stocks from the Other sector with a price to sales ratio of 0.5.
SMRT Holdings Bhd's total revenue rose by 34.4% to $33M since the same quarter in the previous year.
Its net income has increased by 86.2% to $-1M since the same quarter in the previous year.
Finally, its free cash flow fell by 450.6% to $-6M since the same quarter in the previous year.
Based on the above factors, SMRT Holdings Bhd gets an overall score of 4/5.
Exchange | KLSE |
---|---|
CurrencyCode | MYR |
Sector | Consumer Defensive |
ISIN | MYQ0117OO000 |
Industry | Education & Training Services |
Beta | -0.29 |
---|---|
Market Cap | 435M |
PE Ratio | 16.0 |
Target Price | 2.19 |
Dividend Yield | None |
SMRT Holdings Berhad, an investment holding company, engages in education and training, and technology businesses primarily in Malaysia. The company operates educational institutions; and offers educational management, human resources development training, consulting, outsourcing, events, learning resources, and advisory support services. It also provides software consultancy, and development and related services; and offers information technology solutions related to telecommunication application. The company was formerly known as SMR Technologies Berhad. SMRT Holdings Berhad was incorporated in 2004 and is based in Cyberjaya, Malaysia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 0117.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 2025