-
1 Comment
Value HR Co.,Ltd is currently in a long term downtrend where the price is trading 0.4% below its 200 day moving average.
From a valuation standpoint, the stock is 93.8% cheaper than other stocks from the Healthcare sector with a price to sales ratio of 4.4.
Value HR Co.,Ltd's total revenue rose by 8.6% to $1B since the same quarter in the previous year.
Its net income has dropped by 5.2% to $189M since the same quarter in the previous year.
Based on the above factors, Value HR Co.,Ltd gets an overall score of 2/5.
ISIN | JP3778410005 |
---|---|
Industry | Health Information Services |
Sector | Healthcare |
CurrencyCode | JPY |
Exchange | TSE |
Beta | 0.34 |
---|---|
Dividend Yield | 1.3% |
Target Price | None |
PE Ratio | 45.66 |
Market Cap | 40B |
Value HR Co.,Ltd. provides health management services in Japan. The company provides health checkup agency services; welfare support services; occupational health services; health business-related services; health insurance association support services; personal health management services; and health management support service for small and medium enterprises. It also offers one-stop service for digitizing health information and various health management services, such as health checkup appointments, health checkup results management, specific health guidance, cafeteria plans, etc. through in-house developed Value Cafeteria system; health management and data health support services; and provision of BPO services related to administrative operations. The company was incorporated in 2001 and is headquartered in Tokyo, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 6078.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 2024