-
1 Comment
Sichuan Kelun Pharmaceutical Co., Ltd is currently in a long term downtrend where the price is trading 8.3% below its 200 day moving average.
From a valuation standpoint, the stock is 80.3% cheaper than other stocks from the Healthcare sector with a price to sales ratio of 1.9.
Sichuan Kelun Pharmaceutical Co., Ltd's total revenue rose by 9.8% to $4B since the same quarter in the previous year.
Its net income has increased by 60.5% to $299M since the same quarter in the previous year.
Finally, its free cash flow fell by 77.7% to $62M since the same quarter in the previous year.
Based on the above factors, Sichuan Kelun Pharmaceutical Co., Ltd gets an overall score of 3/5.
| Exchange | SHE |
|---|---|
| CurrencyCode | CNY |
| Sector | Healthcare |
| ISIN | CNE100000PW7 |
| Industry | Drug Manufacturers - General |
| Market Cap | 57B |
|---|---|
| Beta | -0.07 |
| Target Price | 42.6663 |
| Dividend Yield | 1.5% |
| PE Ratio | 19.08 |
Sichuan Kelun Pharmaceutical Co., Ltd. researches, develops, manufactures, distributes, and sells pharmaceutical products in China. It offers infusion products; oral medication and other dosage form; plastic ampoule and powder liquid dual chamber infusion bag; medical devices, such as infusion set, injection syringes, detained needles, nebulizer, and blood sampling; and over-the-counter products. The company was founded in 1996 and is based in Chengdu, the People's Republic of China. Sichuan Kelun Pharmaceutical Co., Ltd. is a subsidiary of Sichuan Kelun Industry Group CO., LTD.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 002422.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
