-
1 Comment
Hays plc is currently in a long term uptrend where the price is trading 14.6% above its 200 day moving average.
From a valuation standpoint, the stock is 97.4% cheaper than other stocks from the Industrials sector with a price to sales ratio of 0.4.
Hays plc's total revenue sank by 0.0% to $2B since the same quarter in the previous year.
Its net income has dropped by 0.0% to $34M since the same quarter in the previous year.
Finally, its free cash flow fell by 209.2% to $-24M since the same quarter in the previous year.
Based on the above factors, Hays plc gets an overall score of 2/5.
Industry | Staffing & Employment Services |
---|---|
Sector | Industrials |
ISIN | GB0004161021 |
CurrencyCode | EUR |
Exchange | F |
Market Cap | 2B |
---|---|
Beta | 1.21 |
PE Ratio | 11.64 |
Target Price | None |
Dividend Yield | 2.6% |
Hays plc operates as a recruitment company in Australia, New Zealand, Germany, the United Kingdom, Ireland, and internationally. The company offers permanent, temporary, and contractor recruitment services, such as qualified, professional, and skilled recruitment to public and private sectors. It also specializes in offering recruitment services in the areas of accountancy and finance, construction and property, technology, life sciences, sales and marketing, banking and capital markets, contact centers, education, engineering and manufacturing, executive, financial services, health and social care, human resources, legal, office support, energy, oil and gas, procurement, retail, resources and mining, and telecoms. Hays plc was founded in 1968 and is headquartered in London, the United Kingdom.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for HAY.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 2024