-
1 Comment
Mirach Energy Limited is currently in a long term downtrend where the price is trading 0.2% below its 200 day moving average.
From a valuation standpoint, the stock is 97.5% cheaper than other stocks from the Energy sector with a price to sales ratio of 1.1.
Mirach Energy Limited's total revenue sank by 98.7% to $6K since the same quarter in the previous year.
Its net income has dropped by 155.9% to $-2M since the same quarter in the previous year.
Finally, its free cash flow fell by 174.9% to $-867K since the same quarter in the previous year.
Based on the above factors, Mirach Energy Limited gets an overall score of 1/5.
Exchange | SG |
---|---|
CurrencyCode | SGD |
ISIN | SG1AJ5000002 |
Sector | Basic Materials |
Industry | Lumber & Wood Production |
Market Cap | 2M |
---|---|
PE Ratio | None |
Target Price | None |
Dividend Yield | 0.0% |
Beta | 1.25 |
Mirach Energy Limited, an investment holding company, operates as an oil and gas concession operator in Malaysia and Singapore. It operates through Oilfield Services, Oil Exploration and Oilfield Development, Property Construction and Development, Agriculture, and Management Services segments. The company provides oil and gas services and consultancy in Asia; holds an investment in a mature oil field in Indonesia, South Sumatra; pursues property and construction projects; and engages in the development of a multi-storey agricultural projects. The company was formerly known as China Petrotech Holdings Limited and changed its name to Mirach Energy Limited in July 2008. Mirach Energy Limited was incorporated in 2003 and is based in Singapore.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for AWO.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