-
1 Comment
Jizhong Energy Resources 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 75.5% cheaper than other stocks from the Energy sector with a price to sales ratio of 0.6.
Jizhong Energy Resources Co., Ltd's total revenue sank by 0.5% to $6B since the same quarter in the previous year.
Its net income has dropped by 6.1% to $258M since the same quarter in the previous year.
Finally, its free cash flow grew by 135.5% to $2B since the same quarter in the previous year.
Based on the above factors, Jizhong Energy Resources Co., Ltd gets an overall score of 3/5.
| Exchange | SHE |
|---|---|
| ISIN | CNE0000010H6 |
| CurrencyCode | CNY |
| Industry | Thermal Coal |
| Sector | Energy |
| Dividend Yield | 14.% |
|---|---|
| Market Cap | 24B |
| PE Ratio | 4.54 |
| Target Price | 9 |
| Beta | 0.24 |
Jizhong Energy Resources Co., Ltd. engages in the mining, production, processing, and wholesale of coal in China. The company operates through Coal Business, Electricity Business, Building Materials Business, Chemical Business, Trade Business, and Other segments. It also produces and sells cement, glass fiber, and related products; coke, PVC and related products; and electricity. In addition, the company engages in trading PVC products, chemicals, and building materials, as well as provides consulting services. It also exports its products. The company was founded in 1999 and is based in Xingtai, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 000937.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 2024
