-
1 Comment
JB Foods Limited is currently in a long term uptrend where the price is trading 0.7% above its 200 day moving average.
From a valuation standpoint, the stock is 79.6% cheaper than other stocks from the Consumer Defensive sector with a price to sales ratio of 0.4.
JB Foods Limited's total revenue rose by 96.8% to $209M since the same quarter in the previous year.
Its net income has increased by 24.3% to $9M since the same quarter in the previous year.
Finally, its free cash flow fell by 169.8% to $-29M since the same quarter in the previous year.
Based on the above factors, JB Foods Limited gets an overall score of 4/5.
Exchange | SG |
---|---|
CurrencyCode | SGD |
ISIN | SG1BH1000008 |
Sector | Consumer Defensive |
Industry | Confectioners |
Market Cap | 140M |
---|---|
PE Ratio | 3.54 |
Target Price | None |
Beta | 0.06 |
Dividend Yield | 0.8% |
JB Foods Limited, an investment holding company, engages in the production and sale of cocoa ingredient products primarily in Singapore, Malaysia, Indonesia, the People's Republic of China, and the United States. It offers cocoa mass and cake, cocoa butter, and cocoa powder under the JB Cocoa brand. The company also procures, markets, and sells cocoa beans and ingredients, and related products, as well as raw materials; and leases properties and trades in cocoa ingredient products. It sells its products to trade houses and end users, such as food and beverage and confectionery manufacturers. The company was incorporated in 2012 and is based in Singapore.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for BEW.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