-
1 Comment
Beijing Hotgen Biotech Co., Ltd is currently in a long term uptrend where the price is trading 111.9% above its 200 day moving average.
From a valuation standpoint, the stock is 37.1% more expensive than other stocks from the Healthcare sector with a price to sales ratio of 13.2.
Beijing Hotgen Biotech Co., Ltd's total revenue sank by 23.4% to $56M since the same quarter in the previous year.
Its net income has dropped by 84.9% to $3M since the same quarter in the previous year.
Finally, its free cash flow fell by 147.0% to $-18M since the same quarter in the previous year.
Based on the above factors, Beijing Hotgen Biotech Co., Ltd gets an overall score of 1/5.
CurrencyCode | CNY |
---|---|
Industry | Biotechnology |
Sector | Healthcare |
ISIN | CNE100003P82 |
Exchange | SHG |
Beta | 1.79 |
---|---|
Dividend Yield | 10.% |
Market Cap | 5B |
Target Price | None |
PE Ratio | 2.58 |
Beijing Hotgen Biotech Co., Ltd. engages in the research, development, manufacture, and sale of medical and public safety inspection products of in-vitro diagnostic products in the field of biomedicine. It offers drug detection, CDC, Up-conversion luminescence technology, colloidal gold, CLIA, sugar capture, microfluidic, and gene detection products for testing of intestinal microorganisms, gastrointestinal foodborne infections, insect-borne diseases, respiratory pathogens, infectious diseases, Ebola virus antigen, biological warfare agents, microorganisms, and mycotoxins. The company was founded in 2005 and is based in Beijing, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 688068.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 2024