-
1 Comment
Charmacy Pharmaceutical Co., Ltd is currently in a long term uptrend where the price is trading 27.6% above its 200 day moving average.
From a valuation standpoint, the stock is 99.9% cheaper than other stocks from the Healthcare sector with a price to sales ratio of 0.1.
Charmacy Pharmaceutical Co., Ltd's total revenue rose by 4.3% to $2B since the same quarter in the previous year.
Its net income has increased by 1535.1% to $31M since the same quarter in the previous year.
Finally, its free cash flow fell by 64.9% to $-110M since the same quarter in the previous year.
Based on the above factors, Charmacy Pharmaceutical Co., Ltd gets an overall score of 4/5.
| Industry | Medical Distribution |
|---|---|
| Sector | Healthcare |
| Exchange | HK |
| CurrencyCode | HKD |
| ISIN | CNE1000023D6 |
| Dividend Yield | 0.0% |
|---|---|
| Target Price | 10.67 |
| Beta | -0.06 |
| PE Ratio | 40.0 |
| Market Cap | 821M |
Charmacy Pharmaceutical Co., Ltd. engages in the trading of pharmaceutical products in the People's Republic of China. The company offers western medicines, Chinese patent medicines, healthcare products, and related consulting services to downstream distributors and terminal chemists. It also operates Charmacy e-Medicine, a B2B e-commerce platform to place orders online and make inquiries and payments. The company was formerly known as Chuangmei Pharmaceutical Co., Ltd. and changed its name to Charmacy Pharmaceutical Co., Ltd. in July 2016. Charmacy Pharmaceutical Co., Ltd. was incorporated in 1984 and is headquartered in Shantou, the People's Republic of China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 2289.HK 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 2024
