-
1 Comment
SHL-JAPAN Ltd is currently in a long term uptrend where the price is trading 10.4% above its 200 day moving average.
From a valuation standpoint, the stock is 433.2% more expensive than other stocks from the Consumer Defensive sector with a price to sales ratio of 5.6.
SHL-JAPAN Ltd's total revenue rose by 16.5% to $473M since the same quarter in the previous year.
Its net income has increased by 34.6% to $67M since the same quarter in the previous year.
Finally, its free cash flow grew by 1.8% to $-192M since the same quarter in the previous year.
Based on the above factors, SHL-JAPAN Ltd gets an overall score of 4/5.
Exchange | TSE |
---|---|
CurrencyCode | JPY |
ISIN | JP3688320005 |
Sector | Industrials |
Industry | Professional & Commercial Services |
Target Price | None |
---|---|
Dividend Yield | 1.0% |
Market Cap | 21B |
PE Ratio | 0.0 |
Beta | 0.34 |
SHL-JAPAN Ltd. provides human resources assessment services for companies in Japan. It sells tests and questionnaire tests to measure individual differences and organizational cultures. The company also provides consultancy services; simulation exercises, such as group discussions and evaluation services; and training services to personnel in client companies. Its services are used in various HR situations comprising recruitment selection, assignment, promotion, skill development, and organizational development. The company was founded in 1984 and is headquartered in Tokyo, Japan. As of April 13, 2023, SHL-JAPAN Ltd. operates as a subsidiary of SHL Global Management Limited.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 4327.TSE 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