-
1 Comment
Vivoryon Therapeutics N.V is currently in a long term uptrend where the price is trading 72.4% above its 200 day moving average.
From a valuation standpoint, the stock is 100.0% cheaper than other stocks from the Healthcare sector with a price to sales ratio of 0.0.
Based on the above factors, Vivoryon Therapeutics N.V gets an overall score of 2/5.
Exchange | AS |
---|---|
CurrencyCode | EUR |
ISIN | DE0007921835 |
Sector | Healthcare |
Industry | Biotechnology |
Market Cap | 46M |
---|---|
PE Ratio | None |
Beta | 1.97 |
Target Price | 5.5 |
Dividend Yield | None |
Vivoryon Therapeutics N.V., a clinical stage biopharmaceutical company, engages in the research, development, and commercialize small molecule-based medicines. Its pipeline products target toxic pyroglutamate-Abeta (pGlu-Abeta), which inhibits the production of pGlu-Abeta. The company's lead product candidate is PQ912, a nanomolar QPCT inhibitor that has completed Phase IIb clinical trials for use in the treatment of Alzheimer's disease. In addition, the company is developing a monoclonal antibody PBD-C06 is for N3pE-Abeta. Vivoryon Therapeutics N.V. has a collaboration agreement with Nordic Bioscience for the clinical development of PQ912 for Alzheimer's disease; and research collaboration with the Fraunhofer Institute for cell therapy and immunology, as well as a strategic regional licensing partnership with Simcere Pharmaceutical Group Ltd. to develop and commercialize medicines targeting the neurotoxic amyloid species N3pE (pGlu-Abeta) to treat Alzheimer's disease. Vivoryon Therapeutics N.V. was founded in 1997 and is headquartered in Halle, Germany.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for VVY.AS 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