-
1 Comment
Ninestar Corporation is currently in a long term uptrend where the price is trading 14.0% above its 200 day moving average.
From a valuation standpoint, the stock is 83.8% cheaper than other stocks from the Technology sector with a price to sales ratio of 1.3.
Ninestar Corporation's total revenue sank by 22.5% to $5B since the same quarter in the previous year.
Its net income has increased by 37.6% to $56M since the same quarter in the previous year.
Finally, its free cash flow fell by 47.1% to $670M since the same quarter in the previous year.
Based on the above factors, Ninestar Corporation gets an overall score of 3/5.
Sector | Technology |
---|---|
Industry | Computer Hardware |
Exchange | SHE |
CurrencyCode | CNY |
ISIN | CNE1000007W9 |
Target Price | 39.97 |
---|---|
Beta | 0.2 |
Market Cap | 33B |
PE Ratio | 58.79 |
Dividend Yield | None |
Ninestar Corporation engages in the research and development, production, processing, and sales of self-produced printers, and printer consumables and accessories. Its principal products include copiers, laser printers, laser printer consumables, printer main control SoC chips, consumable chips, industrial-grade/vehicle-grade microcontrollers, system-level chips, encryption chips, general printer consumables, and printing management services, as well as investment and management services. The company was formerly known as Apex Technology Co., Ltd. and changed its name to Ninestar Corporation in May 2017. The company was founded in 2000 and is based in Zhuhai, the People's Republic of China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 002180.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 2025