-
1 Comment
Everjoy Health Group Co., Ltd is currently in a long term uptrend where the price is trading 8.0% above its 200 day moving average.
From a valuation standpoint, the stock is 11.1% cheaper than other stocks from the Industrials sector with a price to sales ratio of 4.5.
Everjoy Health Group Co., Ltd's total revenue rose by 13.3% to $358M since the same quarter in the previous year.
Its net income has increased by 6.4% to $4M since the same quarter in the previous year.
Finally, its free cash flow grew by 2.0% to $59M since the same quarter in the previous year.
Based on the above factors, Everjoy Health Group Co., Ltd gets an overall score of 5/5.
| Sector | Industrials |
|---|---|
| CurrencyCode | CNY |
| ISIN | CNE1000006M2 |
| Industry | Building Products & Equipment |
| Exchange | SHE |
| Market Cap | 4B |
|---|---|
| PE Ratio | None |
| Target Price | None |
| Beta | 0.87 |
| Dividend Yield | None |
Everjoy Health Group Co.,Ltd. engages in the research, development, production, and sale of ceramic tiles under Smick brand in China. It offers ceramic tile products, such as vitrified stones, marbles, glazed tiles, antique tiles, artistic porcelain, and other categories, as well as exterior wall dry hanging, hanging products, flower tiles, waist lines, corners, ecological building materials, and other accessories. The company also provides health and wellness, and medical services; invest in and leases warehouses and real estate properties; and offers vocational education services. Everjoy Health Group Co.,Ltd. was founded in 1993 and is headquartered in Shanghai, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 002162.SHE 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
