-
1 Comment
Guangzhou Haozhi Industrial Co.,Ltd is currently in a long term downtrend where the price is trading 13.2% below its 200 day moving average.
From a valuation standpoint, the stock is 11.1% cheaper than other stocks from the Industrials sector with a price to sales ratio of 4.5.
Guangzhou Haozhi Industrial Co.,Ltd's total revenue rose by 129.2% to $207M since the same quarter in the previous year.
Its net income has increased by 114.7% to $25M since the same quarter in the previous year.
Finally, its free cash flow fell by 53.5% to $25M since the same quarter in the previous year.
Based on the above factors, Guangzhou Haozhi Industrial Co.,Ltd gets an overall score of 3/5.
Guangzhou Haozhi Industrial Co.,Ltd. researches and develops, designs, manufactures, sells, and repairs precision electro-spindles and related spare parts in China and internationally. The company offers machining center series, engraving and milling spindle, dental milling spindle, rotary table, reducer, core functional parts of the robot, pcb spindle, glass grinding spindle, belt driven and direct driven spindle, super finish spindle, motorized spindle series for drilling and tapping center, hydraulic static spindle series, grinding spindle, lathe spindle, woodworking spindle, tool holder, collet, linear motor series, automated fixture, automated fixture, digital controls, servo motor, bending machine control system, servo driver, and fuel cell compressors, as well as provides service, repair and set up services. The company was founded in 2006 and is headquartered in Guangzhou, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 300503.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
