-
1 Comment
Staffline Group plc is currently in a long term uptrend where the price is trading 10.2% above its 200 day moving average.
From a valuation standpoint, the stock is 100.0% cheaper than other stocks from the Industrials sector with a price to sales ratio of 0.0.
Based on the above factors, Staffline Group plc gets an overall score of 2/5.
| Sector | Industrials |
|---|---|
| Industry | Staffing & Employment Services |
| Exchange | LSE |
| CurrencyCode | GBP |
| ISIN | GB00B040L800 |
| Beta | 1.26 |
|---|---|
| Market Cap | 32M |
| PE Ratio | 8.9 |
| Target Price | 52 |
| Dividend Yield | None |
Staffline Group plc, together with its subsidiaries, provides recruitment and outsourced human resource services, and skills and employment training and support services in the United Kingdom and the Republic of Ireland. It operates through three segments: Recruitment GB, Recruitment Ireland, and PeoplePlus. The company provides solutions to the agriculture, supermarkets and retail, drinks, driving, food processing, manufacturing, and logistics sectors. It also offers adult and prison education, skills-based employability programmes and support, recruitment process outsourcing, and managed service provider solutions; branches, permanent, and contract recruitment solutions; generalist recruitment services; workforce recruitment and management to industry customers; and technical and engineering recruitment services. The company was founded in 1986 and is based in Nottingham, the United Kingdom.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for STAF.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
