-
1 Comment
Manhattan Resources Limited is currently in a long term downtrend where the price is trading 15.2% below its 200 day moving average.
From a valuation standpoint, the stock is 210.9% more expensive than other stocks from the Industrials sector with a price to sales ratio of 5.3.
Manhattan Resources Limited's total revenue rose by 9.7% to $4M since the same quarter in the previous year.
Its net income has increased by 68.9% to $-8M since the same quarter in the previous year.
Finally, its free cash flow fell by 6.5% to $-6M since the same quarter in the previous year.
Based on the above factors, Manhattan Resources Limited gets an overall score of 2/5.
CurrencyCode | SGD |
---|---|
Sector | Utilities |
Industry | Utilities - Renewable |
Exchange | SG |
ISIN | SG1I14879601 |
Market Cap | 49M |
---|---|
Beta | -0.82 |
PE Ratio | None |
Target Price | None |
Dividend Yield | None |
Metis Energy Limited, an investment holding company, operates as a renewable energy company. It operates in two segments: Renewable Energy, and Corporate and Others. The company engages in the construction, acquisition, operation, and maintenance of renewable generation facilities; and the production and sale of renewable energy in Vietnam and Australia. It also invests in properties and others, including overburden removal services and equipment leasing services. The company was formerly known as Manhattan Resources Limited and changed its name to Metis Energy Limited in April 2022. The company was incorporated in 1990 and is headquartered in Singapore.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for L02.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