-
1 Comment
Innovation Inc is currently in a long term downtrend where the price is trading 8.0% below its 200 day moving average.
From a valuation standpoint, the stock is 21.5% cheaper than other stocks from the Technology sector with a price to sales ratio of 2.6.
Innovation Inc's total revenue rose by 40.7% to $723M since the same quarter in the previous year.
Its net income has increased by 383.5% to $81M since the same quarter in the previous year.
Based on the above factors, Innovation Inc gets an overall score of 3/5.
| ISIN | JP3147900009 |
|---|---|
| Sector | Technology |
| Industry | Information Technology Services |
| Exchange | TSE |
| CurrencyCode | JPY |
| Beta | 0.6 |
|---|---|
| Dividend Yield | 4.2% |
| Market Cap | 3B |
| PE Ratio | 37.78 |
| Target Price | None |
Innovation Inc., together with its subsidiaries, engages in the online media business in Japan. It operates through Online Media Business, IT Solution Business, Financial Platform Business, and VC Fund Business segments. The company operates IT Trend, an IT product comparison and information request site; IT TREND EXPO, an online exhibition platform; bizplay, a business video platform; List Finder, a marketing automation tool; Sales Doc., a sales tracking tool; Cocripo, a webinar-specific tool; and SHANON MARKETING PLATFORM for marketing automation. It also provides B2B marketing support; asset management consulting; M&A intermediary and consulting; and startup support services. In addition, the company invests in venture companies. Innovation Inc. was incorporated in 2000 and is headquartered in Shibuya, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 3970.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