Compare Return On Assets 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 Return On Assets Analysis
Compare Microsoft, and State Street Target Return On Assets Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MSFT | 0.2302 | 0.14 | 0.1535 | 0.1281 | 0.0699 | 0.1062 | 0.1018 | 0.064 | 0.1369 | 0.147 | 0.1836 | 0.1994 | 0.1756 | 0.1721 | 0.2 |
Microsoft, and State Street Target Return On Assets description
A profitability ratio that indicates the percentage of profit a company earns in relation to its overall resources. It is calculated by dividing net income by total 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?
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Small Value Funds
Funds or Etfs that invest in the undervalued stocks of small to mid-sized companies. The Small Value Funds theme has 31 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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