-
1 Comment
m-up holdings, Inc is currently in a long term uptrend where the price is trading 23.8% above its 200 day moving average.
From a valuation standpoint, the stock is 16.1% cheaper than other stocks from the Communication Services sector with a price to sales ratio of 2.2.
m-up holdings, Inc's total revenue rose by 17.3% to $3B since the same quarter in the previous year.
Its net income has increased by 43.8% to $205M since the same quarter in the previous year.
Based on the above factors, m-up holdings, Inc gets an overall score of 4/5.
ISIN | JP3167310006 |
---|---|
Sector | Communication Services |
Exchange | TSE |
CurrencyCode | JPY |
Industry | Internet Content & Information |
Dividend Yield | 1.6% |
---|---|
Market Cap | 67B |
PE Ratio | 34.54 |
Target Price | 2430 |
Beta | 0.13 |
m-up holdings, Inc. engages in the development and distribution of mobile and PC content, and e-commerce businesses in Japan. The company is also involved in the official fan site management, including fan clubs, fan sites, official sites, official artist apps, etc.; sale of CD, DVD, Blu-rays, and lottery items; and development and operation of content, applications, and web services that utilize various IP such as anime and characters. In addition, it provides contract development services, such as WEB, VOD, applications, games, etc.; and introduction support services for VR/AR and AI technology, etc. Further, the company offers animation, illustration, and character production services. m-up holdings, Inc. was founded in 2004 and is headquartered in Tokyo, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 3661.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