-
1 Comment
Nihon Dempa Kogyo Co., Ltd is currently in a long term uptrend where the price is trading 28.9% above its 200 day moving average.
From a valuation standpoint, the stock is 87.9% cheaper than other stocks from the Technology sector with a price to sales ratio of 0.4.
Nihon Dempa Kogyo Co., Ltd's total revenue rose by 8.7% to $11B since the same quarter in the previous year.
Its net income has increased by 240.4% to $4B since the same quarter in the previous year.
Finally, its free cash flow grew by 255.1% to $470M since the same quarter in the previous year.
Based on the above factors, Nihon Dempa Kogyo Co., Ltd gets an overall score of 5/5.
Nihon Dempa Kogyo Co., Ltd. engages in the manufacture and sale of crystal-related products in Japan, China, the United States, Germany, South Korea, Mexico, Romania, and internationally. The company also offers crystal units, crystal oscillators, frequency synthesizers, signal generators, millimeter-wave converters, synthetic quartz crystals, optical components, QCM outgas analysis system and real-time process monitor, outgas analysis systems, ultrasonic transducers, and SAW devices. ts products are used in various applications, space, infrastructure/industrial equipment, automotive, mobile, AV/OA, medical, healthcare, household appliance, and connectivity sectors. The company was formerly known as Nanbu Shoko Co., Ltd. and changed its name to Nihon Dempa Kogyo Co., Ltd. in 1950. Nihon Dempa Kogyo Co., Ltd. was incorporated in 1948 and is headquartered in Tokyo, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 6779.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 2026
