-
1 Comment
Honz Pharmaceutical Co., Ltd is currently in a long term downtrend where the price is trading 11.7% below its 200 day moving average.
From a valuation standpoint, the stock is 69.9% cheaper than other stocks from the Healthcare sector with a price to sales ratio of 2.9.
Honz Pharmaceutical Co., Ltd's total revenue sank by 8.3% to $221M since the same quarter in the previous year.
Its net income has dropped by 12.9% to $-5M since the same quarter in the previous year.
Finally, its free cash flow grew by 47.7% to $-61M since the same quarter in the previous year.
Based on the above factors, Honz Pharmaceutical Co., Ltd gets an overall score of 2/5.
| Industry | Drug Manufacturers - Specialty & Generic |
|---|---|
| Sector | Healthcare |
| Exchange | SHE |
| CurrencyCode | CNY |
| ISIN | CNE100000QM6 |
| Target Price | 23 |
|---|---|
| Market Cap | 2B |
| PE Ratio | None |
| Beta | 0.74 |
| Dividend Yield | None |
Honz Pharmaceutical Co., Ltd. engages in the research and development, manufacturing, and sales of pediatric medicines in China. The company offers medicines for children and adults in the areas of anti-anaphylaxis, antidiarrheal and digestive, relieving cough, anti-flu, antipyretic, anti-infection, anti-fungal, antipyretic-analgesic, and endocrine; and medical, disposable, and protective face masks. It markets its products through a network of agents and sales terminals. The company was formerly known as HaiNan Honz Pharmaceutical Co.,Ltd. and changed its name to Honz Pharmaceutical Co., Ltd. in November 2016. Honz Pharmaceutical Co., Ltd. was founded in 1993 and is headquartered in Guangzhou, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 300086.SHE 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
