-
1 Comment
Victory Giant Technology (HuiZhou)Co.,Ltd is currently in a long term downtrend where the price is trading 3.9% below its 200 day moving average.
From a valuation standpoint, the stock is 58.9% cheaper than other stocks from the Technology sector with a price to sales ratio of 3.3.
Victory Giant Technology (HuiZhou)Co.,Ltd's total revenue rose by 50.3% to $2B since the same quarter in the previous year.
Its net income has dropped by 9.0% to $95M since the same quarter in the previous year.
Finally, its free cash flow fell by 23.2% to $-214M since the same quarter in the previous year.
Based on the above factors, Victory Giant Technology (HuiZhou)Co.,Ltd gets an overall score of 2/5.
ISIN | CNE1000020V4 |
---|---|
Industry | Electronic Components |
Sector | Technology |
CurrencyCode | CNY |
Exchange | SHE |
Target Price | 22.86 |
---|---|
Dividend Yield | 0.8% |
Beta | 0.5 |
PE Ratio | 23.63 |
Market Cap | 17B |
Victory Giant Technology (HuiZhou)Co.,Ltd. engages in the research and development, production, and sale of high-precision printed circuit boards in China. The company offers server motherboards, gold finger boards, automotive electronic control devices, server boards, and LED photoelectric boards, as well as Netcom, power supply, and industrial products. Its products have applications in computer and peripherals, network communication, automotive and consumer electronics, power supply, industry control, servers, medical devices, aerospace equipment, etc. The company was founded in 2006 and is based in Huizhou, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 300476.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 2024