-
1 Comment
Dentsu Group Inc is currently in a long term uptrend where the price is trading 57.7% above its 200 day moving average.
From a valuation standpoint, the stock is 94.6% cheaper than other stocks from the Communication Services sector with a price to sales ratio of 1.0.
Dentsu Group Inc's total revenue sank by 12.7% to $263B since the same quarter in the previous year.
Its net income has dropped by 98.4% to $-170B since the same quarter in the previous year.
Finally, its free cash flow fell by 27.4% to $140B since the same quarter in the previous year.
Based on the above factors, Dentsu Group Inc gets an overall score of 2/5.
Exchange | F |
---|---|
CurrencyCode | EUR |
ISIN | JP3551520004 |
Sector | Communication Services |
Industry | Advertising Agencies |
Market Cap | 5B |
---|---|
PE Ratio | None |
Target Price | None |
Dividend Yield | 4.9% |
Beta | 0.49 |
Dentsu Group Inc. operates in the advertising business in Japan, the Americas, Europe, the Middle East and Africa, and the Asia Pacific. The company offers advertising services, including newspapers, magazines, radio, television, internet, sales promotions, movies, out-of-home, public transportation, and other services. It also provides event marketing, creative, marketing, public relation, contents, and other services. In addition, the company sells software and develops systems, as well as offers outsourcing/operation/maintenance services. Further, it rents office buildings; and buys and sells real estate properties, as well as offers building maintenance services. Dentsu Group Inc. was founded in 1901 and is headquartered in Tokyo, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for DEN.F 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