Compare Income Quality 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 Income Quality Analysis
Compare Alphabet Class C, and Beken Corp Income Quality Over Time
Select Fundamental2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
GOOG | 4.4286 | 1.4958 | 1.5478 | 1.4442 | 1.5492 | 1.5919 | 1.8501 | 2.9293 | 1.5607 | 1.5875 | 1.6172 | 1.2054 | 1.5256 | 1.3788 | 1.59 | 2.02 |
Alphabet Class C, and Beken Corp Income Quality description
An assessment of the sustainability of a company's earnings over time, considering factors like revenue source diversification and cost structure.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.USD Crypto Fund Invested less than 1 share | ||
Macroaxis Index Invested over 10K shares | ||
Manufacturing Invested over 40 shares | ||
Baby Boomer Prospects Invested over 40 shares |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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