-
1 Comment
Tong Ren Tang Technologies Co. Ltd is currently in a long term uptrend where the price is trading 20.4% 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 1.2.
Finally, its free cash flow fell by 23.5% to $177M since the same quarter in the previous year.
Based on the above factors, Tong Ren Tang Technologies Co. Ltd gets an overall score of 2/5.
| Exchange | F |
|---|---|
| CurrencyCode | EUR |
| ISIN | CNE100000585 |
| Sector | Healthcare |
| Industry | Drug Manufacturers - General |
| Market Cap | 683M |
|---|---|
| PE Ratio | 12.88 |
| Target Price | None |
| Dividend Yield | 34.% |
| Beta | 1.07 |
Tong Ren Tang Technologies Co. Ltd., together with its subsidiaries, produces and distributes Chinese medicine products in Mainland China and Hong Kong. It operates through The Company; Tong Ren Tang Chinese Medicine; and Others segments. The company also develops, cultivates, processes, and purchases Chinese medicinal raw materials; retails and wholesales Chinese medicine products and healthcare products; and offers ointments, healthcare products, tea drinks, food, foot care products, biological products, western medicine, and cosmetics. In addition, it provides medical research and development; advertisement; and Chinese medical consultations and treatments. Further, the company produces and processes biochemical products; extracts and processes plants; and offers medical services. Tong Ren Tang Technologies Co. Ltd. was founded in 1669 and is based in Beijing, the People's Republic of China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for TNG.F 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
