-
1 Comment
IAR Systems Group AB (publ) is currently in a long term uptrend where the price is trading 6.8% above its 200 day moving average.
From a valuation standpoint, the stock is 64.8% cheaper than other stocks from the Technology sector with a price to sales ratio of 4.8.
IAR Systems Group AB (publ)'s total revenue sank by 15.1% to $91M since the same quarter in the previous year.
Its net income has dropped by 40.0% to $12M since the same quarter in the previous year.
Finally, its free cash flow grew by 280.3% to $27M since the same quarter in the previous year.
Based on the above factors, IAR Systems Group AB (publ) gets an overall score of 3/5.
Exchange | F |
---|---|
CurrencyCode | EUR |
ISIN | SE0005851706 |
Sector | Technology |
Industry | Software - Application |
Dividend Yield | 1.4% |
---|---|
PE Ratio | 10.87 |
Market Cap | 126M |
Beta | 0.95 |
Target Price | None |
IAR Systems Group AB (publ) engages in the provision of programming processors in embedded systems and embedded security solutions in Sweden. The company offers a platform for software development teams; and embedded development platform solutions, such as design and code generation, comprehensive development, embedded CI/CD, code quality and compliance, debugging and trace, functional safety, embedded security, and long-term assurance services. It serves automotive, industrial automation, medical technology, energy and utilities, and maritime and railway. IAR Systems Group AB (publ) was founded in 1983 and is headquartered in Uppsala, Sweden.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for NC91.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