-
1 Comment
Living Technologies Inc is currently in a long term uptrend where the price is trading 0.5% above its 200 day moving average.
From a valuation standpoint, the stock is 73.1% cheaper than other stocks from the Real Estate sector with a price to sales ratio of 1.3.
Living Technologies Inc's total revenue rose by 42.5% to $661M since the same quarter in the previous year.
Its net income has dropped by 26.1% to $12M since the same quarter in the previous year.
Based on the above factors, Living Technologies Inc gets an overall score of 3/5.
| Sector | Real Estate |
|---|---|
| Industry | Real Estate Services |
| ISIN | JP3974710000 |
| Exchange | TSE |
| CurrencyCode | JPY |
| Market Cap | 5B |
|---|---|
| Beta | 0.08 |
| PE Ratio | 29.12 |
| Target Price | None |
| Dividend Yield | None |
Living Technologies Inc. provides real estate web services in Japan. The company operates DX platforms for various real estate services, including real estate sales, custom-built home, renovation, rental management, land utilization, and exterior wall painting. It also provides online services for real estate companies, such as real estate customer attraction navigation, SMS hunter, real estate business bank, telemarketing services for real estate appraisal, and AI real estate appraisal cloud; online business information services comprising web magazines and national real estate agency database; and online merger and acquisition intermediation and advisory services. The company was formerly known as C-STYLE Co., Ltd. and changed its name to Living Technologies Inc. in June 2018. Living Technologies Inc. was incorporated in 2004 and is headquartered in Chuo, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 4445.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 2026