-
1 Comment
Shanghai International Port (Group) Co., Ltd is currently in a long term uptrend where the price is trading 15.9% above its 200 day moving average.
From a valuation standpoint, the stock is 17.0% cheaper than other stocks from the Industrials sector with a price to sales ratio of 4.2.
Shanghai International Port (Group) Co., Ltd's total revenue sank by 24.2% to $7B since the same quarter in the previous year.
Its net income has increased by 2.1% to $2B since the same quarter in the previous year.
Finally, its free cash flow grew by 220.5% to $3B since the same quarter in the previous year.
Based on the above factors, Shanghai International Port (Group) Co., Ltd gets an overall score of 4/5.
Exchange | SHG |
---|---|
CurrencyCode | CNY |
ISIN | CNE0000013N8 |
Sector | Industrials |
Industry | Marine Shipping |
Beta | 0.31 |
---|---|
Market Cap | 134B |
PE Ratio | 8.86 |
Target Price | 6.03 |
Dividend Yield | None |
Shanghai International Port (Group) Co., Ltd. engages in the operation and management of ports in China. The company distributes container terminals in Yangshan, Waigaoqiao, and Wusong. It offers bulk cargo terminal services, including stevedoring of bulk cargo, general and special cargo, roll-on/roll-off for wheeled cargo, and cruise terminals; port logistic services; and tugboat and cargo tallying services to the container, bulk and general cargo, and logistics industries. The company was formerly known as Shanghai Port Authority and changed its name to Shanghai International Port (Group) Co., Ltd. in 2003. The company was founded in 1988 and is based in Shanghai, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 600018.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