-
1 Comment
Innocean Worldwide Inc is currently in a long term uptrend where the price is trading 6.0% above its 200 day moving average.
From a valuation standpoint, the stock is 62.1% cheaper than other stocks from the Communication Services sector with a price to sales ratio of 1.0.
Innocean Worldwide Inc's total revenue sank by 0.4% to $358B since the same quarter in the previous year.
Its net income has dropped by 3.4% to $21B since the same quarter in the previous year.
Finally, its free cash flow fell by 139.0% to $-41B since the same quarter in the previous year.
Based on the above factors, Innocean Worldwide Inc gets an overall score of 2/5.
Exchange | KO |
---|---|
CurrencyCode | KRW |
ISIN | KR7214320004 |
Sector | Communication Services |
Industry | Advertising Agencies |
PE Ratio | None |
---|---|
Target Price | 25750 |
Beta | 0.39 |
Dividend Yield | 10.% |
Market Cap | 719B |
Innocean Worldwide Inc. provides marketing and communications services in the Americas, Europe, Asia, Oceania, the Middle East, and internationally. The company offers advertising services; integrated digital transformation services; and media planning, buying, out-of-home, and digital media solutions. It also provides content business solutions comprising sports business solutions through consulting, property, and sponsorship marketing; entertainment and cultural services; consumer experience solutions; plans, designs, and operates business through space as a marketing communication; and plans and executes global exhibitions and on-site events. Innocean Worldwide Inc. was founded in 2005 and is headquartered in Seoul, South Korea.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 214320.KO 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