-
1 Comment
Xiamen Hexing Packaging Printing Co., Ltd is currently in a long term downtrend where the price is trading 9.8% below its 200 day moving average.
From a valuation standpoint, the stock is 92.2% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 0.4.
Xiamen Hexing Packaging Printing Co., Ltd's total revenue rose by 19.5% to $3B since the same quarter in the previous year.
Its net income has increased by 31.1% to $80M since the same quarter in the previous year.
Finally, its free cash flow fell by 256.3% to $-246M since the same quarter in the previous year.
Based on the above factors, Xiamen Hexing Packaging Printing Co., Ltd gets an overall score of 3/5.
| Exchange | SHE |
|---|---|
| CurrencyCode | CNY |
| Sector | Consumer Cyclical |
| Industry | Packaging & Containers |
| ISIN | CNE100000B40 |
| Beta | 0.32 |
|---|---|
| Market Cap | 5B |
| PE Ratio | 44.4 |
| Target Price | 3.2 |
| Dividend Yield | 6.3% |
Xiamen Hexing Packaging Printing Co., Ltd. engages in research, design, development, production, sale, and service of packaging materials in China and internationally. The company offers cartons; color boxes; medium and high-end corrugated paper boxes; paperboards; cushioning packaging materials; EPE, honeycomb products, and pulp molding products; books; and periodicals. It also provides one-stop packaging services. In addition, the company engages in equity management. It serves the food and beverages and communication electronics industries. Xiamen Hexing Packaging Printing Co., Ltd. was founded in 1993 and is headquartered in Xiamen, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 002228.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
