-
1 Comment
Rex International Holding Limited is currently in a long term uptrend where the price is trading 22.3% above its 200 day moving average.
From a valuation standpoint, the stock is 96.0% cheaper than other stocks from the Energy sector with a price to sales ratio of 3.4.
Rex International Holding Limited's total revenue sank by nan% to $0 since the same quarter in the previous year.
Its net income has dropped by 0.0% to $-4M since the same quarter in the previous year.
Finally, its free cash flow grew by 495.5% to $4M since the same quarter in the previous year.
Based on the above factors, Rex International Holding Limited gets an overall score of 3/5.
Industry | Oil & Gas E&P |
---|---|
Sector | Energy |
Exchange | F |
CurrencyCode | EUR |
ISIN | SG2G04994999 |
Market Cap | 120M |
---|---|
Beta | 0.85 |
PE Ratio | None |
Target Price | None |
Dividend Yield | None |
Rex International Holding Limited, an investment holding company, operates as an oil exploration and production company. The company operates through Oil and Gas and Non-Oil and Gas segments. The Oil and Gas segment engages in the oil and gas exploration and production with concessions located in Oman, Norway, and Benin. The Non-Oil and Gas segment offers Rex Virtual Drilling technology that can extract information on the presence of reservoir rock and liquid hydrocarbons using conventional seismic data. It also owns offshore oil and gas assets in Germany and West Africa. Rex International Holding Limited was incorporated in 2013 and is headquartered in Singapore.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for RXI.F 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