-
1 Comment
Cheetah Holdings Berhad is currently in a long term uptrend where the price is trading 63.1% above its 200 day moving average.
From a valuation standpoint, the stock is 65.8% cheaper than other stocks from the Other sector with a price to sales ratio of 2.2.
Cheetah Holdings Berhad's total revenue sank by 36.6% to $24M since the same quarter in the previous year.
Its net income has increased by 92.0% to $3M since the same quarter in the previous year.
Finally, its free cash flow grew by 257.5% to $5M since the same quarter in the previous year.
Based on the above factors, Cheetah Holdings Berhad gets an overall score of 4/5.
ISIN | MYL7209OO009 |
---|---|
Exchange | KLSE |
CurrencyCode | MYR |
Industry | Apparel Manufacturing |
Sector | Consumer Cyclical |
Target Price | None |
---|---|
Market Cap | 53M |
PE Ratio | None |
Beta | 0.56 |
Dividend Yield | None |
Cheetah Holdings Berhad, an investment holding company, designs, develops, markets, and deals various garments, apparels, and ancillary products in Malaysia. The company offers sports apparel and casual wear for men, ladies, and children. It offers its products through cheetah.com.my and panbasic.com.my, as well as other online platforms, such as Shopee, Lazada, and TikTok. The company distributes its products under the Cheetah Sports, CTH Unlimited, C2 United, GQ, CTH Ladies, CHEETAH Ladies, C. Union, Ladybird, Cheetah Junior, Baby Cheetah, and Arissa brands. Cheetah Holdings Berhad was founded in 1977 and is based in Seri Kembangan, Malaysia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 7209.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