-
1 Comment
Ocean System Corporation is currently in a long term downtrend where the price is trading 2.1% below its 200 day moving average.
From a valuation standpoint, the stock is 81.0% cheaper than other stocks from the Consumer Defensive sector with a price to sales ratio of 0.2.
Ocean System Corporation's total revenue rose by 8.0% to $17B since the same quarter in the previous year.
Its net income has increased by 1.1% to $309M since the same quarter in the previous year.
Based on the above factors, Ocean System Corporation gets an overall score of 3/5.
| Sector | Consumer Defensive |
|---|---|
| Industry | Grocery Stores |
| Exchange | TSE |
| CurrencyCode | JPY |
| ISIN | JP3172260006 |
| Beta | 0.18 |
|---|---|
| Market Cap | 11B |
| PE Ratio | 8.89 |
| Dividend Yield | 1.2% |
| Target Price | None |
Ocean System Corporation engages in the supermarket, lunch service, food delivery, and inns and other businesses in Japan. It operates food supermarkets under the Challenger and Gyomu Super names; Japanese-style inn under the Kaifutei Teradomari Nihonkai name; and restaurant under the Yakiniku Kuroshin name, as well as manufactures and sells lunch boxes under brands, such as Fresh Lunch 39. The company also engages in the provision of contract manufacturing of side dishes, etc.; commissioned management of cafeterias within companies, such as offices and factories; home delivery of dinner ingredient sets, etc. under the Yoshikei brand name; and management of sub-FCs in the franchise area. The company was founded in 1963 and is headquartered in Sanjo, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 3096.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
