-
1 Comment
Shandong Bohui Paper Industry Co., Ltd is currently in a long term downtrend where the price is trading 23.9% below its 200 day moving average.
From a valuation standpoint, the stock is 55.2% cheaper than other stocks from the Basic Materials sector with a price to sales ratio of 1.8.
Shandong Bohui Paper Industry Co., Ltd's total revenue rose by 43.8% to $5B since the same quarter in the previous year.
Its net income has increased by 9294.0% to $307M since the same quarter in the previous year.
Finally, its free cash flow grew by 291.3% to $1B since the same quarter in the previous year.
Based on the above factors, Shandong Bohui Paper Industry Co., Ltd gets an overall score of 4/5.
| Exchange | SHG |
|---|---|
| CurrencyCode | CNY |
| Sector | Basic Materials |
| Industry | Paper & Paper Products |
| ISIN | CNE000001J19 |
| PE Ratio | 70.17 |
|---|---|
| Target Price | 8.4 |
| Market Cap | 11B |
| Beta | 0.45 |
| Dividend Yield | 0.3% |
Shandong Bohui Paper Industry Co.,Ltd. researches, develops, produces, sells, imports, and exports paper products in China. The company offers high-grade coated white cardboard, copper plate card, A-grade kraft boxboard, plaster face covering, double adhesive tape, lightweight paper, and writing paper. Its products are used in cover packaging, food, beverages, daily chemicals, medicine, cultural products, electronic appliances, express delivery, and other industries applications. The company was founded in 1994 and is headquartered in Zibo, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 600966.SHG 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
