-
1 Comment
JCET Group Co., Ltd is currently in a long term uptrend where the price is trading 4.7% above its 200 day moving average.
From a valuation standpoint, the stock is 73.9% cheaper than other stocks from the Technology sector with a price to sales ratio of 2.1.
JCET Group Co., Ltd's total revenue sank by 3.7% to $7B since the same quarter in the previous year.
Its net income has increased by 416.7% to $398M since the same quarter in the previous year.
Finally, its free cash flow grew by 1028.7% to $754M since the same quarter in the previous year.
Based on the above factors, JCET Group Co., Ltd gets an overall score of 4/5.
Exchange | SHG |
---|---|
ISIN | CNE000001F05 |
CurrencyCode | CNY |
Industry | Semiconductors |
Sector | Technology |
Dividend Yield | 0.5% |
---|---|
Target Price | 30.43 |
Market Cap | 64B |
PE Ratio | 19.96 |
Beta | 0.94 |
JCET Group Co., Ltd. provides integrated-circuit manufacturing and technology services worldwide. The company offers wafer level packaging, system-in-packaging, flip chip, and wire bonding products for various semiconductor applications, such as mobile, communication, compute, consumer, automotive, industry, etc. It also provides design and characterization, research and development, wafer probe, water bump, package assembly, shipment, and test services. The company was formerly known as Jiangsu Changjiang Electronics Technology Co., Ltd. and changed its name to JCET Group Co., Ltd. in November 2019. JCET Group Co., Ltd. was founded in 1972 and is based in Jiangyin, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 600584.SHG 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