-
1 Comment
E-Commodities Holdings Limited is currently in a long term uptrend where the price is trading 13.1% above its 200 day moving average.
From a valuation standpoint, the stock is 100.0% cheaper than other stocks from the Energy sector with a price to sales ratio of 0.0.
E-Commodities Holdings Limited's total revenue sank by 21.4% to $13B since the same quarter in the previous year.
Its net income has increased by 241.6% to $255M since the same quarter in the previous year.
Finally, its free cash flow grew by 1429.1% to $1B since the same quarter in the previous year.
Based on the above factors, E-Commodities Holdings Limited gets an overall score of 4/5.
ISIN | VGG2921V1067 |
---|---|
Industry | Thermal Coal |
Sector | Energy |
CurrencyCode | HKD |
Exchange | HK |
PE Ratio | 1.27 |
---|---|
Beta | 1.33 |
Dividend Yield | 25.% |
Target Price | 1.9 |
Market Cap | 4B |
E-Commodities Holdings Limited, together with its subsidiaries, processes and trades in coal and other products. It operates through two segments, Processing and Trading of Coal and Other Products, and Integrated Supply Chain Services. The company also offers supply chain trading, logistics, and financing services, as well as raw materials processing and washing services. In addition, it operates Yee Link, a platform specializing in intelligent logistic of bulk commodities; E-Coking Coal platform for coking coal supply chain; and E-Petrochem platform. The company was formerly known as Winsway Enterprises Holdings Limited and changed its name to E-Commodities Holdings Limited in August 2016. E-Commodities Holdings Limited was incorporated in 2007 and is headquartered in Beijing, the People's Republic of China
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 1733.HK 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