-
1 Comment
Xeros Technology Group plc is currently in a long term uptrend where the price is trading 3.2% above its 200 day moving average.
From a valuation standpoint, the stock is 65.6% more expensive than other stocks from the Industrials sector with a price to sales ratio of 21.0.
Based on the above factors, Xeros Technology Group plc gets an overall score of 1/5.
Exchange | LSE |
---|---|
ISIN | GB00BMGYBJ57 |
CurrencyCode | GBP |
Sector | Industrials |
Industry | Specialty Industrial Machinery |
Market Cap | 6M |
---|---|
Target Price | 16 |
Beta | 2.03 |
PE Ratio | None |
Dividend Yield | None |
Xeros Technology Group plc, together with its subsidiaries, develops and commercializes polymer-based technologies in Europe, North America, and internationally. The company offers XOrbs, a reusable polymer spheres to replace water and chemistry; XDrum, a technology collects the XOrbs back into their storage system; XFilter, a washing machine filtration technology, which prevents harmful microfibers, such as microplastics, generated during washing cycle from being released into the rivers and oceans; and XFN1 Denim and XFN2 Washing products. It also engages in the research, development, and commercialization of polymer technology alternatives to traditional aqueous based technologies. The company was formerly known as Hamsard 3323 Limited and changed its name to Xeros Technology Group plc in March 2014. Xeros Technology Group plc was incorporated in 2013 and is based in Rotherham, the United Kingdom.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for XSG.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