-
1 Comment
From a valuation standpoint, the stock is 99.1% cheaper than other stocks from the Healthcare sector with a price to sales ratio of 1.0.
Based on the above factors, Mediwelcome Healthcare Management & Technology Inc gets an overall score of 1/5.
| Industry | Health Information Services |
|---|---|
| Exchange | HK |
| CurrencyCode | HKD |
| ISIN | KYG5960A1076 |
| Sector | Healthcare |
| Market Cap | 92M |
|---|---|
| Beta | 0.24 |
| Target Price | None |
| PE Ratio | None |
| Dividend Yield | None |
Mediwelcome Healthcare Management & Technology Inc., an investment holding company, provides integrated healthcare marketing solutions in the People's Republic of China. The company offers academic sonference management system, a digital management system for medical conference; scientific data reporting system, a technical service of single disease clinical research data collection; and health education media, a health science cloud platform, patient care center, patient management center, and health education media. It also provides medical conference, patient education and screening, and marketing strategy and consulting services; digital marketing and sales solutions services; contract research organization services; and internet hospital services. In addition, the company offers digital therapy services; science research and development services; and IT and software services. It serves its products to pharmaceutical companies, medical associations, and foundations. The company was founded in 2000 and is headquartered in Beijing, the People's Republic of China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 2159.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 2025
