Compare Payout Ratio 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.
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Cross Equities Payout Ratio Analysis
Compare General Motors, and MCK 13 15 Payout Ratio Over Time
Select Fundamental2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
GM | (0.0091) | 0.0997 | 0.1517 | 0.3156 | 0.8015 | 0.2314 | 0.2512 | (0.5779) | 0.2798 | 0.3491 | 0.1041 | 0.0186 | 0.04 | 0.059 | 0.056 |
General Motors, and MCK 13 15 Payout Ratio description
Payout Ratio is the proportion of organizations earnings paid out as dividends to shareholders. Payout Ratio is typically expressed as a percentage but can be shown as dividends paid out as a proportion of cash flow. The payout ratio is used to determine the sustainability of entities dividend payments. A lower payout ratio is generally preferable to a higher payout ratio, with a ratio greater than 100% indicating entities is paying out more in dividends than it makes in net income.Trending Themes
If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment.Investor Favorites Invested over 40 shares | ||
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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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