-
1 Comment
Guangzhou Jiacheng International Logistics Co.,Ltd is currently in a long term downtrend where the price is trading 14.9% below its 200 day moving average.
From a valuation standpoint, the stock is 19.0% cheaper than other stocks from the Industrials sector with a price to sales ratio of 4.1.
Guangzhou Jiacheng International Logistics Co.,Ltd's total revenue sank by 2.6% to $329M since the same quarter in the previous year.
Its net income has increased by 48.9% to $29M since the same quarter in the previous year.
Finally, its free cash flow fell by 348.1% to $-107M since the same quarter in the previous year.
Based on the above factors, Guangzhou Jiacheng International Logistics Co.,Ltd gets an overall score of 2/5.
Exchange | SHG |
---|---|
CurrencyCode | CNY |
ISIN | CNE100002WF4 |
Sector | Industrials |
Industry | Integrated Freight & Logistics |
Beta | 0.89 |
---|---|
Market Cap | 5B |
PE Ratio | 23.57 |
Target Price | 24 |
Dividend Yield | None |
Guangzhou Jiacheng International Logistics Co.,Ltd. provides professional integrated third-party logistics services in China and internationally. The company offers integrated logistics, e-commerce logistics, commodity sales, agency procurement, agent processing, and international trade. It also provides services that include intelligent warehousing and storage, loading and unloading, packaging, transportation and coordinated distribution, circulation processing, and logistics information transmission. The company was founded in 2000 and is headquartered in Guangzhou, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 603535.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