-
1 Comment
Prosperous Printing Company Limited is currently in a long term uptrend where the price is trading 10.9% above its 200 day moving average.
From a valuation standpoint, the stock is 82.1% cheaper than other stocks from the Industrials sector with a price to sales ratio of 0.4.
Prosperous Printing Company Limited's total revenue sank by 42.0% to $71M since the same quarter in the previous year.
Its net income has dropped by 412.7% to $-7M since the same quarter in the previous year.
Finally, its free cash flow fell by 171.6% to $-19M since the same quarter in the previous year.
Based on the above factors, Prosperous Printing Company Limited gets an overall score of 2/5.
| Exchange | HK |
|---|---|
| CurrencyCode | HKD |
| ISIN | HK0000376159 |
| Industry | Specialty Business Services |
| Sector | Industrials |
| Market Cap | 10M |
|---|---|
| PE Ratio | None |
| Target Price | None |
| Beta | 1.17 |
| Dividend Yield | None |
Prosperous Printing Company Limited, through its subsidiaries, engages in the production and sale of books and paper products to print brokers and publishers in Hong Kong, the United States, the United Kingdom, Australia, and other European countries. The company offers case bound, soft bound, saddle stitch book, handcraft products, silk screening, finishing, cut and stamp, and accessories and other products. It is also involved in the property investment activities. The company was incorporated in 1992 and is based in Chai Wan, Hong Kong. Prosperous Printing Company Limited operates as a subsidiary of First Tech Inc.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 8385.HK 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
