-
1 Comment
I'LL inc is currently in a long term downtrend where the price is trading 14.5% below its 200 day moving average.
From a valuation standpoint, the stock is 11.8% more expensive than other stocks from the Technology sector with a price to sales ratio of 3.7.
I'LL inc's total revenue rose by 6.5% to $3B since the same quarter in the previous year.
Its net income has increased by 6.5% to $273M since the same quarter in the previous year.
Based on the above factors, I'LL inc gets an overall score of 2/5.
| ISIN | JP3105180008 |
|---|---|
| Sector | Technology |
| Industry | Information Technology Services |
| Exchange | TSE |
| CurrencyCode | JPY |
| PE Ratio | 16.63 |
|---|---|
| Target Price | 3700 |
| Dividend Yield | 2.1% |
| Beta | 0.17 |
| Market Cap | 59B |
I'LL inc. operates as a system solution business in Japan. The company operates in two segments, system solutions and web solutions. The System Solutions Business segment provides services, including network construction and security management; store management services for the fashion industry; educational services, such as IT and OA literacy education, engineer training, support for obtaining qualifications, and business skills training, as well as develops systems for other industries, including fashion, food, and medical equipment. The web solutions segment offers web materials such as EC site construction, multiple online shop central management software, and website production and utilization support. The company was incorporated in 1991 and is headquartered in Osaka, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 3854.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