-
1 Comment
HNA Technology Co., Ltd is currently in a long term uptrend where the price is trading 1.5% above its 200 day moving average.
From a valuation standpoint, the stock is 100.0% cheaper than other stocks from the Technology sector with a price to sales ratio of 0.0.
HNA Technology Co., Ltd's total revenue sank by 1.0% to $84B since the same quarter in the previous year.
Its net income has dropped by 96.2% to $5M since the same quarter in the previous year.
Finally, its free cash flow grew by 293.4% to $4B since the same quarter in the previous year.
Based on the above factors, HNA Technology Co., Ltd gets an overall score of 3/5.
Exchange | SHG |
---|---|
CurrencyCode | USD |
ISIN | CNE000000JZ4 |
Sector | Industrials |
Industry | Marine Shipping |
Beta | 0.27 |
---|---|
PE Ratio | 0.0 |
Target Price | None |
Market Cap | 1B |
Dividend Yield | None |
HNA Technology Co.,Ltd., through its subsidiaries, engages in electronic product distribution and shipping businesses in China and internationally. The company is involved in the international short-sea and domestic coastal container liner transportation; shipping agency; and freight forwarding activities. It also provides scientific research and technical services; agency services; supply chain management; investment management; logistics and warehousing; and information technology services. The company was formerly known as Tianjin Tianhai Investment Co., Ltd and changed its name to HNA Technology Co.,Ltd. in April 2018. HNA Technology Co.,Ltd. was founded in 1992 and is based in Shanghai, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 900938.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 2025