-
1 Comment
Kimura Unity Co., Ltd is currently in a long term uptrend where the price is trading 14.1% 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.
Kimura Unity Co., Ltd's total revenue sank by 0.7% to $14B since the same quarter in the previous year.
Its net income has increased by 22.1% to $757M since the same quarter in the previous year.
Based on the above factors, Kimura Unity Co., Ltd gets an overall score of 3/5.
| CurrencyCode | JPY |
|---|---|
| Sector | Industrials |
| ISIN | JP3242500001 |
| Exchange | TSE |
| Industry | Specialty Business Services |
| PE Ratio | 10.18 |
|---|---|
| Target Price | 780 |
| Dividend Yield | 4.3% |
| Beta | 0.37 |
| Market Cap | 32B |
Kimura Unity Co., Ltd. provides logistics, car, information, and staffing services in Japan. The company's logistics services include distribution center operations, container equipment production, warehousing and packing, etc. It offers car management, maintenance, and rental services; and vehicle leasing and insurance agency services, as well as purchases and sells automobiles. In addition, the company provides consulting, and system development, system maintenance; and temporary staff placement, jobseeker referral, and hiring support services. The company was formerly known as Kimura Unity and changed its name to Kimura Unity Co., Ltd. in November 1990. Kimura Unity Co., Ltd. was founded in 1881 and is headquartered in Nagoya, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 9368.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
