-
1 Comment
Kyoritsu Air Tech 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 73.8% cheaper than other stocks from the Industrials sector with a price to sales ratio of 0.3.
Kyoritsu Air Tech Inc's total revenue sank by 9.1% to $3B since the same quarter in the previous year.
Its net income has dropped by 63.5% to $69M since the same quarter in the previous year.
Based on the above factors, Kyoritsu Air Tech Inc gets an overall score of 2/5.
| Exchange | TSE |
|---|---|
| CurrencyCode | JPY |
| Sector | Industrials |
| Industry | Building Products & Equipment |
| ISIN | JP3253800001 |
| PE Ratio | 5.6 |
|---|---|
| Beta | 0.23 |
| Target Price | None |
| Dividend Yield | 5.2% |
| Market Cap | 3B |
Kyoritsu Air Tech Inc., together with its subsidiaries, manufactures and sells building and housing equipment in Japan. The company offers air conditioning and disaster prevention equipment, such as dampers, air outlets, and fasteners; central and whole-house air conditioning systems; 24-hour ventilation systems; air outlets and VAV/Fass units; wall-mounted heat exchange air purifiers; radiant cooling/heating systems; exhaust system for IH cookers; water purifiers; and air conditioning materials. It also provides low-carbon eco-materials and commercial kitchen hoods. The company serves houses, hospitals, stations, and shopping malls. Kyoritsu Air Tech Inc. was founded in 1967 and is based in Kasuya-Gun, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 5997.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
