-
1 Comment
PWF Consolidated Berhad is currently in a long term uptrend where the price is trading 10.8% above its 200 day moving average.
From a valuation standpoint, the stock is 93.8% cheaper than other stocks from the Other sector with a price to sales ratio of 0.4.
PWF Consolidated Berhad's total revenue sank by 24.3% to $80M since the same quarter in the previous year.
Its net income has dropped by 21.7% to $4M since the same quarter in the previous year.
Finally, its free cash flow grew by 70.1% to $-137K since the same quarter in the previous year.
Based on the above factors, PWF Consolidated Berhad gets an overall score of 3/5.
Exchange | KLSE |
---|---|
CurrencyCode | MYR |
Industry | Farm Products |
Sector | Consumer Defensive |
ISIN | MYL7134OO009 |
Beta | 0.18 |
---|---|
PE Ratio | 8.28 |
Target Price | 1.22 |
Dividend Yield | 6.0% |
Market Cap | 235M |
PWF Corporation Bhd., an investment holding company, engages in the livestock farming business in Malaysia. It engages in the manufacture and sale of poultry feeds; breeding of day-old-chicks; layer and broiler farming; processing and distributing of poultry products; and manufactures and sells pet foods, as well offers broilers, table eggs, and processed chicken. It serves wholesalers, supermarkets, grocery stores, processing plants, and market vendors. The company was formerly known as PWF Consolidated Bhd. and changed its name to PWF Corporation Bhd. in December 2019. PWF Corporation Bhd. was incorporated in 1997 and is headquartered in Bukit Mertajam, Malaysia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 7134.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