-
1 Comment
Glosel Co., Ltd is currently in a long term downtrend where the price is trading 1.6% below its 200 day moving average.
From a valuation standpoint, the stock is 94.0% cheaper than other stocks from the Technology sector with a price to sales ratio of 0.2.
Glosel Co., Ltd's total revenue sank by 7.7% to $16B since the same quarter in the previous year.
Its net income has increased by 600.0% to $125M since the same quarter in the previous year.
Finally, its free cash flow grew by 152.7% to $283M since the same quarter in the previous year.
Based on the above factors, Glosel Co., Ltd gets an overall score of 3/5.
ISIN | JP3130600004 |
---|---|
CurrencyCode | JPY |
Sector | Technology |
Industry | Semiconductors |
Exchange | TSE |
Market Cap | 22B |
---|---|
PE Ratio | 0.0 |
Beta | 0.59 |
Target Price | None |
Dividend Yield | 3.2% |
GLOSEL Co., Ltd. operates as a semiconductor trading company in Japan. The company provides integrated circuits, semiconductor devices, display devices, and other electric parts and instruments. It also offers storage products, printed wiring boards, sensors, communication devices, and optic products. In addition, the company develops semiconductor strain sensors under the STREAL brand. Further, it develops custom LSI, embedded software, and electronic manufacturing systems. The company was formerly known as RENESAS EASTON Co., Ltd. and changed its name to GLOSEL Co., Ltd. in July 2019. GLOSEL Co., Ltd. was incorporated in 1954 and is headquartered in Tokyo, Japan. As of February 28, 2024, GLOSEL Co., Ltd. operates as a subsidiary of Macnica, Inc..
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 9995.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