-
1 Comment
Seigakusya Co., Ltd is currently in a long term downtrend where the price is trading 0.9% below its 200 day moving average.
From a valuation standpoint, the stock is 61.9% cheaper than other stocks from the Consumer Defensive sector with a price to sales ratio of 0.4.
Seigakusya Co., Ltd's total revenue sank by 10.5% to $3B since the same quarter in the previous year.
Its net income has dropped by 46.8% to $232M since the same quarter in the previous year.
Based on the above factors, Seigakusya Co., Ltd gets an overall score of 1/5.
| Sector | Consumer Defensive |
|---|---|
| Industry | Education & Training Services |
| Exchange | TSE |
| CurrencyCode | JPY |
| ISIN | JP3414400006 |
| Target Price | None |
|---|---|
| Beta | 0.07 |
| Market Cap | 4B |
| PE Ratio | 8.79 |
| Dividend Yield | 2.6% |
Seigakusha Co.,Ltd. provides educational services in Japan. It operates through Education-Related Business; Real Estate Leasing Business; and Food and Beverage Business segments. It provides video lessons, individual guidance, and learning guidance for elementary school students, junior high school students, high school students, and high school graduates. The company also provides junior high school and high school exam courses, college entrance exam courses, and middle/high school/university courses, as well as operates nursery schools, kindergarten school, and language schools. In addition, it offers consulting services; rents real estate properties; and operates a restaurant in Osaka. The company was founded in 1982 and is headquartered in Osaka, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 2179.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
