-
1 Comment
Eltes Co.,Ltd is currently in a long term downtrend where the price is trading 1.8% below its 200 day moving average.
From a valuation standpoint, the stock is 14.8% more expensive than other stocks from the Technology sector with a price to sales ratio of 3.8.
Eltes Co.,Ltd's total revenue sank by 18.2% to $419M since the same quarter in the previous year.
Its net income has dropped by 269.4% to $-87M since the same quarter in the previous year.
Based on the above factors, Eltes Co.,Ltd gets an overall score of 0/5.
Exchange | TSE |
---|---|
CurrencyCode | JPY |
ISIN | JP3167700008 |
Sector | Technology |
Industry | Software - Application |
PE Ratio | 23.55 |
---|---|
Target Price | None |
Beta | 0.74 |
Market Cap | 4B |
Dividend Yield | None |
Eltes Co.,Ltd. engages in the AI security, digital risk, and DX promotion businesses in Japan. The company offers social and internal risk management, on-line reputation management, digital credit, information bank/e-Government and security services. It also operates a physical security business; and provides services related to the promotion of DX in the security industry by combining AI and IoT. order. In addition, the company offers digitization support for administrative services for residents; dispatch services for DX human resources, such as engineers; and property management business. Further, it provides multiple solutions from pre-avoidance of social risks to post-crisis response methods, as well as internal threat detection services. Eltes Co.,Ltd. was founded in 2004 and is headquartered in Tokyo, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 3967.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