-
1 Comment
Spectris plc is currently in a long term uptrend where the price is trading 14.1% above its 200 day moving average.
From a valuation standpoint, the stock is 78.8% cheaper than other stocks from the Technology sector with a price to sales ratio of 2.9.
Finally, its free cash flow fell by 27.0% to $59M since the same quarter in the previous year.
Based on the above factors, Spectris plc gets an overall score of 2/5.
Exchange | F |
---|---|
CurrencyCode | EUR |
ISIN | GB0003308607 |
Sector | Technology |
Industry | Scientific & Technical Instruments |
Beta | 0.75 |
---|---|
Market Cap | 3B |
PE Ratio | 8.97 |
Target Price | None |
Dividend Yield | 4.3% |
Spectris plc provides precision measurement solutions. It operates through Spectris Scientific and Spectris Dynamics segments. The Spectris Scientific segment provides advanced measurement and materials characterization; and monitoring solutions for ultra-clean manufacturers. The Spectris Dynamics segment offers differentiated sensing, data acquisition, analysis modelling, and simulation solutions for product development and enhance product performance. The company serves life sciences/pharmaceuticals, technology-led industrials, automotive, electronics and semiconductor, academic research, and other markets, as well as metals, minerals, and mining. It operates in the United Kingdom, Germany, France, rest of Europe, the United States, rest of North America, Japan, China, South Korea, rest of Asia, and internationally. The company was formerly known as Fairey Group plc and changed its name to Spectris plc in May 2001. Spectris plc was incorporated in 1986 and is based in London, the United Kingdom.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for FA9.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