-
1 Comment
China Meheco Group Co., Ltd is currently in a long term downtrend where the price is trading 14.8% below its 200 day moving average.
From a valuation standpoint, the stock is 95.8% cheaper than other stocks from the Healthcare sector with a price to sales ratio of 0.4.
China Meheco Group Co., Ltd's total revenue rose by 25.0% to $11B since the same quarter in the previous year.
Its net income has increased by 64.4% to $461M since the same quarter in the previous year.
Finally, its free cash flow grew by 296.3% to $961M since the same quarter in the previous year.
Based on the above factors, China Meheco Group Co., Ltd gets an overall score of 4/5.
| Exchange | SHG |
|---|---|
| CurrencyCode | CNY |
| ISIN | CNE000000Q29 |
| Sector | Healthcare |
| Industry | Medical Distribution |
| Market Cap | 16B |
|---|---|
| PE Ratio | 31.03 |
| Target Price | 30.47 |
| Dividend Yield | 1.0% |
| Beta | 0.23 |
China Meheco Group Co., Ltd. engages in the manufacture, marketing, and trade of pharmaceuticals and medical devices in China and internationally. The company is involved in the planting and sale of Chinese medicinal materials, as well as the provision of related technical and warehousing services. Its drug products cover therapeutic fields, such as anti-infection, cardiovascular, hormones and endocrine regulation, respiratory and digestive systems, nutritional supplements, antipyretic analgesics, and other therapeutic areas as well as Chinese herbal medicine processing and decoction pieces. The company was founded in 1983 and is based in Beijing, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 600056.SHG 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 2026