-
1 Comment
Kairuide Holding Co., Ltd is currently in a long term uptrend where the price is trading 11.8% above its 200 day moving average.
From a valuation standpoint, the stock is 516.2% more expensive than other stocks from the Consumer Cyclical sector with a price to sales ratio of 31.7.
Kairuide Holding Co., Ltd's total revenue rose by 109.5% to $6M since the same quarter in the previous year.
Its net income has dropped by 854.4% to $-207M since the same quarter in the previous year.
Finally, its free cash flow fell by 74.4% to $1M since the same quarter in the previous year.
Based on the above factors, Kairuide Holding Co., Ltd gets an overall score of 2/5.
Exchange | SHE |
---|---|
CurrencyCode | CNY |
ISIN | CNE000001NW1 |
Sector | Industrials |
Industry | Conglomerates |
Beta | 0.14 |
---|---|
Market Cap | 2B |
PE Ratio | None |
Target Price | None |
Dividend Yield | None |
Kairuide Holding Co.,Ltd. engages in trading of coal in China. It operates through three segments: Coal, Property Leasing, and Internet Acceleration. The company is involved in the procurement and sale of coal products; and external leasing and management of investment real estate. It also wholesales and retails coke, daily sundries, etc.; and provides internet traffic procurement and bandwidth optimization technical services, as well as metallic and non-metallic ores. The company was formerly known as Shandong Demian Incorporated Company and changed its name to Kairuide Holding Co.,Ltd. in November 2014. Kairuide Holding Co.,Ltd. was founded in 1958 and is based in Jingmen, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 002072.SHE 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