-
1 Comment
Citic Press Corporation is currently in a long term downtrend where the price is trading 15.2% below its 200 day moving average.
From a valuation standpoint, the stock is 30.1% cheaper than other stocks from the Communication Services sector with a price to sales ratio of 4.4.
Citic Press Corporation's total revenue rose by 16.4% to $620M since the same quarter in the previous year.
Its net income has increased by 33.7% to $102M since the same quarter in the previous year.
Finally, its free cash flow grew by 26.8% to $220M since the same quarter in the previous year.
Based on the above factors, Citic Press Corporation gets an overall score of 4/5.
| ISIN | CNE100003QL2 |
|---|---|
| Exchange | SHE |
| CurrencyCode | CNY |
| Sector | Communication Services |
| Industry | Publishing |
| Beta | 0.6 |
|---|---|
| Market Cap | 6B |
| PE Ratio | 37.67 |
| Target Price | 35.5 |
| Dividend Yield | 1.6% |
Citic Press Corporation engages in the book publishing and distribution and urban cultural space operations business in China and internationally. The company operates through Book Publishing and Distribution; and Cultural Consumption and Other Value-Added Services segments. It also operates and a chain of bookstores under the CITIC brand, as well as offers digital reading products. The company was formerly known as CITIC Press Co., Ltd. and changed its name to CITIC Press Corporation in September 2013. The company was founded in 1993 and is headquartered in Beijing, China. Citic Press Corporation is a subsidiary of CITIC Limited.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 300788.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 2026
