-
1 Comment
Shanghai Kaibao Pharmaceutical CO.,Ltd is currently in a long term uptrend where the price is trading 8.7% above its 200 day moving average.
From a valuation standpoint, the stock is 55.4% cheaper than other stocks from the Healthcare sector with a price to sales ratio of 4.3.
Shanghai Kaibao Pharmaceutical CO.,Ltd's total revenue sank by 37.5% to $172M since the same quarter in the previous year.
Its net income has dropped by 47.9% to $29M since the same quarter in the previous year.
Finally, its free cash flow grew by 106.8% to $94M since the same quarter in the previous year.
Based on the above factors, Shanghai Kaibao Pharmaceutical CO.,Ltd gets an overall score of 3/5.
| Exchange | SHE |
|---|---|
| CurrencyCode | CNY |
| ISIN | CNE100000JZ3 |
| Sector | Healthcare |
| Industry | Drug Manufacturers - Specialty & Generic |
| Beta | 0.24 |
|---|---|
| Market Cap | 6B |
| PE Ratio | 16.36 |
| Target Price | 7 |
| Dividend Yield | 1.7% |
Shanghai Kaibao Pharmaceutical CO.,Ltd engages in the research, development, production, and sale of modern Chinese medicines primarily in China. Its primary products include Tanreqing injection for the treatment of pneumonia, acute and chronic bronchitis, and upper respiratory tract infection; Tanreqing capsules that clears heat and detoxifies and removes phlegm; tiopronin for injection, which improves liver function of various acute and chronic hepatitis; Tiopronin enteric-coated tablets for adjuvant treatment of chronic hepatitis; and Xiongdan dropping pills that clears heat, calms liver, and improves eyesight. The company was founded in 2000 and is based in Shanghai, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 300039.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
