-
1 Comment
Haw Par Corporation Limited is currently in a long term uptrend where the price is trading 14.8% above its 200 day moving average.
From a valuation standpoint, the stock is 213.8% more expensive than other stocks from the Healthcare sector with a price to sales ratio of 26.6.
Haw Par Corporation Limited's total revenue rose by 154.9% to $111M since the same quarter in the previous year.
Its net income has increased by 829.9% to $120M since the same quarter in the previous year.
Finally, its free cash flow fell by 99.8% to $28K since the same quarter in the previous year.
Based on the above factors, Haw Par Corporation Limited gets an overall score of 3/5.
ISIN | SG1D25001158 |
---|---|
Sector | Healthcare |
Industry | Drug Manufacturers - General |
Exchange | SG |
CurrencyCode | SGD |
Market Cap | 3B |
---|---|
PE Ratio | 11.18 |
Target Price | 17 |
Dividend Yield | 3.5% |
Beta | 0.29 |
Haw Par Corporation Limited, together with its subsidiaries, manufactures, markets, and trades in healthcare products in Singapore, The Association of Southeast Asian Nations countries, other Asian countries, and internationally. It manufactures and distributes topical analgesic products under the Tiger Balm and Kwan Loong brands; and invests in quoted securities. The company also owns and leases various investment properties. In addition, it provides family and tourist oriented leisure activities primarily in the form of oceanariums. Further, the company is involved in the property development; and owning and letting properties; letting out of office spaces; and management support services. Haw Par Corporation Limited was incorporated in 1969 and is based in Singapore.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for H02.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