-
1 Comment
WPD Pharmaceuticals Inc is currently in a long term downtrend where the price is trading 29.8% below 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, WPD Pharmaceuticals Inc gets an overall score of 1/5.
| Sector | Healthcare |
|---|---|
| Industry | Biotechnology |
| Exchange | F |
| CurrencyCode | EUR |
| ISIN | CA92941F1053 |
| PE Ratio | None |
|---|---|
| Target Price | None |
| Dividend Yield | 0.0% |
| Market Cap | 4M |
| Beta | 1.28 |
WPD Pharmaceuticals Inc. engages in the research and development of medicinal products in the fields of oncology and infectious diseases. Its drug development pipeline includes WPD101 to treat brain cancers, including glioblastoma that is in the pre-clinical trial; WPD102 to treat Uval Melanoma, which is in the pre-clinical trial; Berubicin for the treatment of glioblastoma that us in phase 1 clinical trial; and WP1066 to treat central nervous system tumors, pancreatic cancer, and ocular tumors, which is in phase 1 clinical trial. The company's drug development pipeline also includes WP1732 for the treatment of pancreatic cancer; WP1220 to treat cutaneous T-cell lymphoma; WPD103 for the treatment of glioblastoma multiforme that is in the pre-clinical trial; and Annamycin to treat acute myeloid leukemia (AML) and metastasis to lungs, which is in Phase I/II clinical trials in AML. WPD Pharmaceuticals Inc. is headquartered in Vancouver, Canada.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 8SV1.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
