-
1 Comment
Petron Malaysia Refining & Marketing Bhd is currently in a long term downtrend where the price is trading 5.8% below its 200 day moving average.
From a valuation standpoint, the stock is 96.9% cheaper than other stocks from the Other sector with a price to sales ratio of 0.2.
Petron Malaysia Refining & Marketing Bhd's total revenue sank by 39.2% to $2B since the same quarter in the previous year.
Its net income has increased by 183.6% to $98M since the same quarter in the previous year.
Finally, its free cash flow fell by 79.1% to $47M since the same quarter in the previous year.
Based on the above factors, Petron Malaysia Refining & Marketing Bhd gets an overall score of 2/5.
Exchange | KLSE |
---|---|
CurrencyCode | MYR |
Sector | Energy |
Industry | Oil & Gas Refining & Marketing |
ISIN | MYL3042OO008 |
Beta | 0.66 |
---|---|
Market Cap | 880M |
PE Ratio | 46.57 |
Target Price | 6.1 |
Dividend Yield | 7.1% |
Petron Malaysia Refining & Marketing Bhd engages in manufacturing and marketing of petroleum products in Peninsular Malaysia. It offers gasoline, jet fuel, naptha, and low sulfur waxy residue; retail and commercial fuels; engine oils; diesel; and industrial lubricants, greases, high temperature protection lubricants, and other products, as well as liquefied petroleum gas to residential and commercial customers. The company was founded in 1893 and is based in Kuala Lumpur, Malaysia. Petron Malaysia Refining & Marketing Bhd is a subsidiary of Petron Oil & Gas International Sdn. Bhd.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 3042.KLSE 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