-
Exchange | NASDAQ |
---|---|
CurrencyCode | USD |
Sector | Healthcare |
Industry | Biotechnology |
ISIN | US0906556065 |
Market Cap | 14M |
---|---|
PE Ratio | None |
Target Price | 13 |
Beta | 77.51 |
Dividend Yield | None |
BioRestorative Therapies, Inc. develops therapeutic products and medical therapies using cell and tissue protocols primarily involving adult stem cells. It develops programs relate to the treatment of disc/spine disease and metabolic disorders. The company's products pipeline comprises BRTX-100, a lead cell therapy candidate formulated from autologous cultured mesenchymal stem cells collected from the patient's bone marrow, as well as used for the non-surgical treatment of painful lumbosacral disc disorders or as a complimentary therapeutic to a surgical procedure; and ThermoStem, a cell-based therapy candidate to target obesity and metabolic disorders using brown adipose derived stem cells to generate brown adipose tissue. It also operates a commercial biocosmeceutical platform. In addition, the company provides investigational curved needle device to deliver cells and/or other therapeutic products or material to the spine and discs, and other parts of the body. BioRestorative Therapies, Inc. has a research and development agreement with Rohto Pharmaceutical Co., Ltd.; a research agreement with Pfizer, Inc.; and a research collaboration agreement with the University of Pennsylvania. The company was formerly known as Stem Cell Assurance, Inc. and changed its name to BioRestorative Therapies, Inc. in August 2011. BioRestorative Therapies, Inc. is headquartered in Melville, New York.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for BRTX 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