-
1 Comment
Good Friend International Holdings Inc is currently in a long term downtrend where the price is trading 21.4% below its 200 day moving average.
From a valuation standpoint, the stock is 77.7% cheaper than other stocks from the Industrials sector with a price to sales ratio of 0.5.
Good Friend International Holdings Inc's total revenue rose by 18.8% to $493M since the same quarter in the previous year.
Its net income has dropped by 1515.0% to $-145M since the same quarter in the previous year.
Finally, its free cash flow grew by 136.5% to $18M since the same quarter in the previous year.
Based on the above factors, Good Friend International Holdings Inc gets an overall score of 3/5.
| Exchange | HK |
|---|---|
| CurrencyCode | HKD |
| ISIN | KYG398001001 |
| Sector | Industrials |
| Industry | Specialty Industrial Machinery |
| Market Cap | 601M |
|---|---|
| PE Ratio | 44.44 |
| Target Price | None |
| Beta | 0.79 |
| Dividend Yield | 1.2% |
Good Friend International Holdings Inc., an investment holding company, designs, produces, and sells computer numerical control machine tools in the People's Republic of China and internationally. The company operates through three segments: Machine Tools, Parking Garage Structures, and Forklift Trucks. It also designs and constructs three-dimensional car parking garage structures; and designs and assembles forklift trucks. In addition, the company trades in machine tools. The company was founded in 1993 and is headquartered in Hangzhou, the People's Republic of China. Good Friend International Holdings Inc. is a subsidiary of Good Friend (H.K.) Corporation Limited.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 2398.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
