-
1 Comment
NANSO Transport Co.,Ltd is currently in a long term downtrend where the price is trading 3.4% below its 200 day moving average.
From a valuation standpoint, the stock is 56.3% cheaper than other stocks from the Industrials sector with a price to sales ratio of 0.5.
NANSO Transport Co.,Ltd's total revenue sank by 11.9% to $3B since the same quarter in the previous year.
Its net income has dropped by 10.6% to $227M since the same quarter in the previous year.
Based on the above factors, NANSO Transport Co.,Ltd gets an overall score of 1/5.
Sector | Industrials |
---|---|
ISIN | JP3653350003 |
Industry | Integrated Freight & Logistics |
Exchange | TSE |
CurrencyCode | JPY |
Dividend Yield | 4.6% |
---|---|
Target Price | None |
Beta | 0.28 |
PE Ratio | 6.33 |
Market Cap | 10B |
NANSO Transport Co.,Ltd. provides logistics services in Japan. The company provides large, medium, and small vehicle and trailer; vehicle with power gate; carrier, unic, and packer car; safety loader; and flat body vehicles. It also offers car, special consolidated, railways transport; transport handling; warehousing; distribution processing; factory work; human resource; general worker dispatch; customs clearance; general waste treatment; specified passenger motor transport; parking lot; automobile and vehicle maintenance; and security services. In addition, the company engages in real estate transactions and leasing; inside and outside building cleaning; non-life insurance agency; life insurance soliciting; sale of oil; and incidental businesses. NANSO Transport Co.,Ltd. was incorporated in 1942 and is headquartered in Togane, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 9034.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