-
1 Comment
Qtone Education Group (Guangdong) Co.,Ltd is currently in a long term uptrend where the price is trading 5.8% above its 200 day moving average.
From a valuation standpoint, the stock is 19.0% cheaper than other stocks from the Consumer Defensive sector with a price to sales ratio of 5.5.
Qtone Education Group (Guangdong) Co.,Ltd's total revenue sank by 28.5% to $142M since the same quarter in the previous year.
Its net income has increased by 130.0% to $19M since the same quarter in the previous year.
Finally, its free cash flow grew by 166.3% to $53M since the same quarter in the previous year.
Based on the above factors, Qtone Education Group (Guangdong) Co.,Ltd gets an overall score of 4/5.
| Industry | Education & Training Services |
|---|---|
| ISIN | CNE100001R25 |
| Sector | Consumer Defensive |
| CurrencyCode | CNY |
| Exchange | SHE |
| PE Ratio | 80.78 |
|---|---|
| Target Price | 32 |
| Market Cap | 5B |
| Dividend Yield | 0.0% |
| Beta | 0.52 |
Qtone Education Group (Guangdong) Co., Ltd. provides online education services in China. The company offers solutions for regional and single school wisdom education, including education management and teaching applications, as well as education cloud resource pool construction. It also provides continuing education and campus services. The company was formerly known as Guangdong Qtone Education Co., Ltd. and changed its name to Qtone Education Group (Guangdong) Co., Ltd. in July 2016. Qtone Education Group (Guangdong) Co., Ltd. was founded in 2005 and is based in Zhongshan, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 300359.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 2024
