-
1 Comment
Kape Technologies Plc is currently in a long term uptrend where the price is trading 32.1% above its 200 day moving average.
From a valuation standpoint, the stock is 75.0% cheaper than other stocks from the Technology sector with a price to sales ratio of 6.5.
Finally, its free cash flow fell by 3.4% to $3M since the same quarter in the previous year.
Based on the above factors, Kape Technologies Plc gets an overall score of 2/5.
Sector | Technology |
---|---|
Industry | Software - Infrastructure |
Exchange | LSE |
CurrencyCode | GBP |
ISIN | IM00BQ8NYV14 |
Beta | 0.64 |
---|---|
Market Cap | 1B |
PE Ratio | 19.0 |
Target Price | 4.05 |
Dividend Yield | 0.0% |
Kape Technologies PLC, together with its subsidiaries, develops and distributes digital products in the online security space. It operates through Digital Security, Digital Content, and Digital Privacy segments. The company offers CyberGhost, ZenMate, Express, and private internet access that provide cybersecurity SaaS with a focus on providing of virtual private network solutions. It provides Intego, a cyber security SaaS provider that focuses on the provision of malware protection to Macintosh operating systems; and PC performance, Webselenese, Reimage PC, Restoro, and DriverFix products. In addition, the company offers software development; market research; consulting; and professional services. The company was formerly known as Crossrider plc and changed its name to Kape Technologies PLC in March 2018. The company is based in London, the United Kingdom.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for KAPE.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