-
1 Comment
Yuasa Funashoku Co., Ltd is currently in a long term uptrend where the price is trading 1.3% above its 200 day moving average.
From a valuation standpoint, the stock is 90.5% cheaper than other stocks from the Consumer Defensive sector with a price to sales ratio of 0.1.
Yuasa Funashoku Co., Ltd's total revenue sank by 0.2% to $29B since the same quarter in the previous year.
Its net income has dropped by 107.5% to $-20M since the same quarter in the previous year.
Finally, its free cash flow fell by 570.4% to $-955M since the same quarter in the previous year.
Based on the above factors, Yuasa Funashoku Co., Ltd gets an overall score of 2/5.
Exchange | TSE |
---|---|
CurrencyCode | JPY |
Sector | Consumer Defensive |
Industry | Food Distribution |
ISIN | JP3946000001 |
Market Cap | 19B |
---|---|
PE Ratio | 10.41 |
Beta | 0.03 |
Target Price | None |
Dividend Yield | 2.3% |
Yuasa Funashoku Co., Ltd. operates as a food trading company in Japan. The company offers processed foods, sweets, pet food, liquor, frozen and chilled food, liquors, wheat flour, starch, sugar, edible oils, rice, cereals, brown rice, meat, and eggs, as well as petroleum, industrial chemicals, and chemical products to supermarkets, mass retailers and department stores, secondary wholesalers, food manufacturers, and other users. It is also involved in the management of hotels and restaurants; and rental of real estate properties, including commercial facilities, etc. The company was founded in 1936 and is headquartered in Funabashi, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 8006.TSE 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