-
1 Comment
Panasonic Manufacturing Malaysia Berhad is currently in a long term uptrend where the price is trading 7.0% above its 200 day moving average.
From a valuation standpoint, the stock is 67.3% cheaper than other stocks from the Other sector with a price to sales ratio of 2.1.
Panasonic Manufacturing Malaysia Berhad's total revenue sank by 2.4% to $261M since the same quarter in the previous year.
Its net income has increased by 15.9% to $33M since the same quarter in the previous year.
Finally, its free cash flow grew by 544.7% to $10M since the same quarter in the previous year.
Based on the above factors, Panasonic Manufacturing Malaysia Berhad gets an overall score of 4/5.
Exchange | KLSE |
---|---|
CurrencyCode | MYR |
ISIN | MYL3719OO001 |
Sector | Consumer Cyclical |
Industry | Furnishings, Fixtures & Appliances |
Market Cap | 727M |
---|---|
PE Ratio | 15.74 |
Target Price | 10.77 |
Dividend Yield | 5.2% |
Beta | 0.21 |
Panasonic Manufacturing Malaysia Berhad manufactures and sells electrical home appliances and related components under the Panasonic brand name in Malaysia, Japan, rest of Asia, Europe, the Middle East, and internationally. The company operates in the Living Appliances & Solution Company (LASC) and Heating & Ventilation A/C Company (HVAC) segments. It offers products, including vacuum cleaners, irons, bidets, reverse osmosis water purifier, electric fans, ceiling fans, ventilating fans, dish dryers, water purification systems, and home showers. The company was formerly known as Matsushita Electric Company (Malaysia) Berhad and changed its name to Panasonic Manufacturing Malaysia Berhad in 2005. Panasonic Manufacturing Malaysia Berhad was incorporated in 1965 and is headquartered in Shah Alam, Malaysia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 3719.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