-
1 Comment
United Strength Power Holdings Limited is currently in a long term uptrend where the price is trading 40.7% above its 200 day moving average.
From a valuation standpoint, the stock is 120.0% more expensive than other stocks from the Energy sector with a price to sales ratio of 4.8.
United Strength Power Holdings Limited's total revenue sank by 38.9% to $127M since the same quarter in the previous year.
Its net income has dropped by 80.6% to $3M since the same quarter in the previous year.
Finally, its free cash flow grew by 212.2% to $50M since the same quarter in the previous year.
Based on the above factors, United Strength Power Holdings Limited gets an overall score of 2/5.
ISIN | KYG9354A1031 |
---|---|
CurrencyCode | HKD |
Exchange | HK |
Sector | Energy |
Industry | Oil & Gas Refining & Marketing |
Beta | 0.14 |
---|---|
Dividend Yield | 0.4% |
Market Cap | 2B |
Target Price | 2.62 |
PE Ratio | 26.95 |
United Strength Power Holdings Limited, an investment holding company, operates vehicle natural gas refueling stations in the People's Republic of China. The company sells refined oil, compressed natural gas, liquefied petroleum gas (LPG), and liquefied natural gas (LNG). It also trades in LPG, LNG, and related chemical products; and provides petroleum and gas transportation services. It also develops energy technology. United Strength Power Holdings Limited was founded in 1997 and is headquartered in Changchun, the People's Republic of China. United Strength Power Holdings Limited is a subsidiary of Golden Truth Holdings Limited.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 2337.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