-
1 Comment
Microsaic Systems plc is currently in a long term downtrend where the price is trading 22.8% below its 200 day moving average.
From a valuation standpoint, the stock is 92.7% cheaper than other stocks from the Technology sector with a price to sales ratio of 1.9.
Based on the above factors, Microsaic Systems plc gets an overall score of 1/5.
Sector | Technology |
---|---|
Industry | Scientific & Technical Instruments |
Exchange | LSE |
CurrencyCode | GBP |
ISIN | GB00B547ZY09 |
Market Cap | 413K |
---|---|
PE Ratio | None |
Target Price | None |
Dividend Yield | 0.0% |
Beta | 0.5 |
Microsaic Systems plc engages in the research, development, and commercialization of miniaturised mass spectrometry (MS) instruments in the United Kingdom, Japan, the United States, Europe, China, South Korea, and internationally. It develops and markets in-field screening solution for real-time monitoring used in various markets, such as water, pharmaceuticals, chemicals, academia, and food and beverage. The company offers MiD platform solutions for MS detection, including 4500 MiD; MiDas Automated Sampling interface that allows automated sampling, dilution, and injection for direct MS analysis; and MiD Protein ID, a miniaturised mass spectrometer, as well as sells consumables and spare parts. Its products are used in pharmaceuticals/biopharmaceuticals, food safety, environmental, and clinical applications. The company also provides support services and training programs, as well as sells its products through OEMs and distributors. Microsaic Systems plc was incorporated in 1998 and is headquartered in Woking, the United Kingdom.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for MSYS.LSE 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