-
1 Comment
Mbs Inc is currently in a long term downtrend where the price is trading 13.1% below its 200 day moving average.
From a valuation standpoint, the stock is 40.0% more expensive than other stocks from the Industrials sector with a price to sales ratio of 1.6.
Mbs Inc's total revenue sank by 22.8% to $790M since the same quarter in the previous year.
Its net income has dropped by 46.6% to $54M since the same quarter in the previous year.
Based on the above factors, Mbs Inc gets an overall score of 0/5.
ISIN | JP3167660004 |
---|---|
Exchange | TSE |
CurrencyCode | JPY |
Sector | Industrials |
Industry | Engineering & Construction |
Market Cap | 5B |
---|---|
PE Ratio | 13.53 |
Target Price | None |
Beta | 0.17 |
Dividend Yield | 2.4% |
Mbs Inc provides renovation services in Japan. The company offers exterior and interior renovation services for houses and buildings. It also provides home makeup, a system that restores the aesthetic appearances, as well as protects buildings by providing resistance to various kinds of environments; skeleton disaster prevention coatings; Cannax, a system for new construction, extensions and renovations of interiors, plumbing, exteriors, etc.; and Mobapro Check, a camera-equipped mobile phone that photographs construction status of a building at each stage and sends it through e-mail to an internet server. In addition, the company undertakes construction works; develops and sells functional paints; and offers consulting services. Mbs Inc was founded in 1993 and is headquartered in Ube, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 1401.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