-
1 Comment
Topre Corporation is currently in a long term uptrend where the price is trading 4.5% above its 200 day moving average.
From a valuation standpoint, the stock is 62.9% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 0.4.
Topre Corporation's total revenue rose by 13.6% to $62B since the same quarter in the previous year.
Its net income has dropped by 9.5% to $3B since the same quarter in the previous year.
Based on the above factors, Topre Corporation gets an overall score of 3/5.
Exchange | TSE |
---|---|
CurrencyCode | JPY |
ISIN | JP3598200008 |
Sector | Consumer Cyclical |
Industry | Auto Parts |
Market Cap | 114B |
---|---|
PE Ratio | 8.33 |
Target Price | 2050 |
Dividend Yield | 3.3% |
Beta | 0.9 |
Topre Corporation engages in the press-related products and temperature-controlled logistics-related businesses in Japan. The company offers press-related products; ultra-high-tensile steel plates and hot stamp pressed product; and constant temperature logistics products for light vehicles and heavy vehicles, as well as compact, 2t, 3t, and 4t trucks. It also provides home ventilation system; and electronic products, such as keyboards, pin pads, ouch monitor, touch panel, and embedded computer. In addition, the company offers automotive press components, office equipment parts, and press dies; and freezing containers, freezing equipment, freezers and refrigerators, and temperature-controlled logistics centers. The company was formerly known as Tokyo Press Kogyo Co., Ltd. and changed its name to Topre Corporation in October 1985. Topre Corporation was incorporated in 1935 and is headquartered in Tokyo, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 5975.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