Compare Capex To Revenue Across Equities
You 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 positions. Check out your portfolio center.
Cross Equities Capex To Revenue Analysis
Compare Visa Class A, and COSCO SHIPPING Energy Capex To Revenue Over Time
Select Fundamental2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
V | 0.0448 | 0.0361 | 0.04 | 0.0435 | 0.0298 | 0.0347 | 0.0385 | 0.0348 | 0.0329 | 0.0337 | 0.0292 | 0.0331 | 0.0324 | 0.035 | 0.0418 |
Visa Class A, and COSCO SHIPPING Energy Capex To Revenue description
The ratio of a company's capital expenditures to its total revenue, indicating how much of the revenue is used for acquiring or maintaining physical assets.Use Investing Themes to Complement your positions
You can quickly originate your optimal portfoio using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.Did You Try This Idea?
Run Airlines Thematic Idea Now
Airlines
Domestic and international airlines and airline services. The Airlines theme has 39 constituents at this time.
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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