Cboe Global Price Earnings To Growth Ratio Over Time
CBOE Stock | USD 215.85 1.36 0.63% |
With this module, investors can use any or all of fundamental ratio historical patterns as a complementary method for asset selection as well as a tool for deciding entry and exit points. Many technical investors use fundamentals to limit their universe of possible portfolio assets.
Check out Cboe Global Performance and Cboe Global Correlation. Cboe |
Is Financial Exchanges & Data space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Cboe Global. If investors know Cboe will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Cboe Global listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.062 | Dividend Share 2.28 | Earnings Share 7.34 | Revenue Per Share 37.547 | Quarterly Revenue Growth 0.162 |
The market value of Cboe Global Markets is measured differently than its book value, which is the value of Cboe that is recorded on the company's balance sheet. Investors also form their own opinion of Cboe Global's value that differs from its market value or its book value, called intrinsic value, which is Cboe Global's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Cboe Global's market value can be influenced by many factors that don't directly affect Cboe Global's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Cboe Global's value and its price as these two are different measures arrived at by different means. Investors typically determine if Cboe Global is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Cboe Global's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Cross Equities Price Earnings To Growth Ratio Analysis
Compare Cboe Global Markets and related stocks such as CME Group, MarketAxess Holdings, and Intercontinental Exchange Price Earnings To Growth Ratio Over Time
Select Fundamental2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
CME | (0.0145) | 0.0995 | (0.3725) | 3.1485 | 1.7983 | 2.4213 | 1.1208 | 0.0744 | (0.6282) | 9.7041 | (36.6926) | 1.2858 | 14.876 | 1.1895 | 0.86 |
MKTX | 0.0334 | 0.4672 | 0.7689 | 1.307 | (24.3091) | 1.4668 | 1.4051 | 2.8626 | 2.7519 | 3.7776 | 1.5876 | (4.2401) | (14.3656) | 14.9803 | 15.73 |
ICE | 1.454 | 0.6015 | 1.7519 | (1.2066) | 0.1548 | 0.6749 | 4.9147 | 0.2099 | (1.1262) | (92.9359) | 3.0912 | 0.2093 | (0.6185) | 0.4921 | 0.52 |
ALLE | 23.9999 | 23.9999 | 23.9999 | (1.5908) | 0.0649 | (3.3982) | 0.542 | 1.3785 | 0.2922 | (4.5819) | (1.6661) | 0.4289 | (6.3886) | 1.128 | 0.94 |
AIZ | 4.6656 | 0.0585 | 3.7954 | 0.9332 | 4.78 | (0.5695) | 0.0293 | 4.4771 | (0.3829) | 0.4638 | 1.335 | 0.3176 | (0.4828) | 0.103 | 0.0978 |
Cboe Global Markets and related stocks such as CME Group, MarketAxess Holdings, and Intercontinental Exchange Price Earnings To Growth Ratio description
My Equities
My Current Equities and Potential Positions
Cboe Global Markets | CBOE |
Classification | Trump Equities |
Location | Illinois; U.S.A |
Exchange | BATS Exchange |
USD 215.85
Check out Cboe Global Performance and Cboe Global Correlation. You can also try the AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
Cboe Global technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.