-
1 Comment
Nanfang Communication Holdings Limited is currently in a long term downtrend where the price is trading 40.7% below its 200 day moving average.
From a valuation standpoint, the stock is 71.1% cheaper than other stocks from the Technology sector with a price to sales ratio of 1.0.
Nanfang Communication Holdings Limited's total revenue rose by 24.4% to $201M since the same quarter in the previous year.
Its net income has increased by 70.1% to $-5M since the same quarter in the previous year.
Finally, its free cash flow fell by 192.2% to $-54M since the same quarter in the previous year.
Based on the above factors, Nanfang Communication Holdings Limited gets an overall score of 3/5.
Industry | Communication Equipment |
---|---|
Sector | Technology |
ISIN | KYG6390W1078 |
CurrencyCode | HKD |
Exchange | HK |
Dividend Yield | 0.0% |
---|---|
Target Price | 4.99 |
Market Cap | 171M |
Beta | 0.25 |
PE Ratio | None |
Nanfang Communication Holdings Limited, an investment holding company, manufactures and sells optical fiber cables and optical distribution network devices in the People's Republic of China. The company offers communication cable, as well as processes and sells pre-painted steel sheets. Its customers primarily include national and regional telecommunications network operators and telecommunications supporting services providers. The company was founded in 1992 and is headquartered in Changzhou, the People's Republic of China. Nanfang Communication Holdings Limited is a subsidiary of Pacific Mind Development Limited.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 1617.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 2024