-
1 Comment
Tamura Corporation is currently in a long term uptrend where the price is trading 63.7% above its 200 day moving average.
From a valuation standpoint, the stock is 81.9% cheaper than other stocks from the Technology sector with a price to sales ratio of 0.6.
Tamura Corporation's total revenue sank by 2.9% to $19B since the same quarter in the previous year.
Its net income has dropped by 211.3% to $-285M since the same quarter in the previous year.
Based on the above factors, Tamura Corporation gets an overall score of 2/5.
ISIN | JP3471000004 |
---|---|
Exchange | TSE |
CurrencyCode | JPY |
Sector | Technology |
Industry | Electronic Components |
Beta | 0.68 |
---|---|
Market Cap | 37B |
PE Ratio | 11.14 |
Target Price | 620 |
Dividend Yield | 2.1% |
Tamura Corporation manufactures and sells electronic components, electronic chemicals, FA systems, and information equipment in Japan and internationally. The company offers electronic components, including transformers, reactors, coils, current sensors, power modules, gate drivers, AC adaptors, transducers, and piezoelectric ceramic products. It also provides solder pastes, soldering and tacky fluxes, joint reinforcement pastes, photo-imageable solder masks, LED materials, OSPs, and carbon pastes; and soldering systems, spray fluxers, solder bath units, solder recovery systems, PCB handling conveyor systems, and PSA-type nitrogen gas generators. In addition, the company offers information equipment comprising broadcast studio systems, communication systems, and network systems. Tamura Corporation was founded in 1924 and is headquartered in Tokyo, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 6768.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