-
1 Comment
Science Group plc is currently in a long term uptrend where the price is trading 28.4% above its 200 day moving average.
From a valuation standpoint, the stock is 85.8% cheaper than other stocks from the Industrials sector with a price to sales ratio of 1.8.
Science Group plc's total revenue sank by 0.0% to $17M since the same quarter in the previous year.
Its net income has dropped by 0.0% to $-2M since the same quarter in the previous year.
Finally, its free cash flow grew by 79.5% to $4M since the same quarter in the previous year.
Based on the above factors, Science Group plc gets an overall score of 3/5.
| ISIN | GB00B39GTJ17 |
|---|---|
| Sector | Industrials |
| Industry | Consulting Services |
| Exchange | LSE |
| CurrencyCode | GBP |
| PE Ratio | 7.84 |
|---|---|
| Beta | 0.36 |
| Market Cap | 238M |
| Target Price | 777.5 |
| Dividend Yield | 1.7% |
Science Group plc, a services and systems company, operates in the science, technology, and engineering applications in the United Kingdom, rest of European Countries, North America, Asia, and internationally. The company offers advisory, product development, and regulatory services. It is also involved in the design, development, and manufacture of submarine atmosphere management systems; and design and supply of radio and audio semi-conductors/modules. In addition, the company provides property, production, and consultancy services. It serves industrial, defense and aerospace, medical, and consumer sectors. The company was formerly known as Sagentia Group plc and changed its name to Science Group plc in July 2015. Science Group plc was incorporated in 2008 and is headquartered in Cambridge, the United Kingdom.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for SAG.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 2026