-
1 Comment
Interra Resources Limited is currently in a long term uptrend where the price is trading 6.2% above its 200 day moving average.
From a valuation standpoint, the stock is 97.1% cheaper than other stocks from the Energy sector with a price to sales ratio of 1.3.
Interra Resources Limited's total revenue rose by 36.0% to $5M since the same quarter in the previous year.
Its net income has dropped by 164.8% to $-382K since the same quarter in the previous year.
Finally, its free cash flow grew by 95.4% to $-374K since the same quarter in the previous year.
Based on the above factors, Interra Resources Limited gets an overall score of 4/5.
| Sector | Energy |
|---|---|
| Industry | Oil & Gas E&P |
| Exchange | SG |
| CurrencyCode | SGD |
| ISIN | SG1R37924805 |
| PE Ratio | 3.6 |
|---|---|
| Target Price | None |
| Market Cap | 23M |
| Beta | 0.43 |
| Dividend Yield | None |
Interra Resources Limited, an investment holding company, engages in the exploration and operation of oil fields for crude petroleum production in Indonesia and Myanmar. It holds 60% interests in two onshore producing oil fields in the Chauk and Yenangyaung covering an area of approximately 1,800 square kilometers located on the north of Yangon and a 72.75% interest in the Kuala Pambuang block covering an area of approximately 1,631 square kilometers located to the southwest of Palangkaraya. The company is also involved in the trading of heavy machineries. Interra Resources Limited was incorporated in 1973 and is based in Singapore.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 5GI.SG 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
