Compare Roic 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 Roic Analysis
Compare General Motors, and Dynamic Active Crossover Roic Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| GM | 0.5679 | 0.1078 | 0.0893 | 0.0465 | 0.0176 | 0.0592 | 0.1686 | 0.0022 | 0.0292 | 0.0508 | 0.045 | 0.0632 | 0.0473 | 0.0473 | 0.059 |
General Motors, and Dynamic Active Crossover Roic description
Return on Invested Capital, a profitability ratio that measures the return that an investment generates for those who have provided capital, such as debt holders and equity holders.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 Municipals ETFs Thematic Idea Now
Municipals ETFs
ETF themes focus on helping investors to gain exposure to a broad range of assets, diversify, and lower overall costs. The Municipals ETFs theme has 111 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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