-
1 Comment
Shokubun Co., Ltd is currently in a long term downtrend where the price is trading 4.8% below its 200 day moving average.
From a valuation standpoint, the stock is 62.9% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 0.4.
Shokubun Co., Ltd's total revenue rose by 3.6% to $2B since the same quarter in the previous year.
Its net income has increased by 120.8% to $132M since the same quarter in the previous year.
Based on the above factors, Shokubun Co., Ltd gets an overall score of 3/5.
| Industry | Restaurants |
|---|---|
| Exchange | TSE |
| CurrencyCode | JPY |
| ISIN | JP3369300003 |
| Sector | Consumer Cyclical |
| Target Price | None |
|---|---|
| Dividend Yield | 2.1% |
| Beta | 0.04 |
| Market Cap | 4B |
| PE Ratio | None |
Shokubun Co., Ltd. engages in the planning, development, and home delivery of household ingredients. It also delivers nutrition lunch boxes and special sale gift products. In addition, the company is involved in research and development, and management guidance of preventive and therapeutic foods for lifestyle-related diseases; food inspection and scientific analysis of nutritional value; manufacture, processing, and sale of livestock products, marine products, alcoholic beverages, seasonings, confectionery, etc.; provision of hospital meals; business management of employee cafeterias, restaurants, etc.; and non-life insurance agency and business related to recruitment of life insurance, as well as other business. Shokubun Co., Ltd. was incorporated in 1977 and is based in Nagoya, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 9969.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
