Compare Stock Based Compensation 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 Stock Based Compensation To Revenue Analysis
Compare Kaiser Aluminum, and COMSovereign Holding Corp Stock Based Compensation To Revenue Over Time
Select Fundamental2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
KALU | 0.006 | 0.0041 | 0.0043 | 0.0052 | 0.0052 | 0.0068 | 0.0089 | 0.0095 | 0.0065 | 0.0065 | 0.0085 | 0.0049 | 0.0042 | 0.0052 | 0.0069 |
Kaiser Aluminum, and COMSovereign Holding Corp Stock Based Compensation To Revenue description
A metric that compares the total value of stock-based compensation granted by a company to its total revenue, indicating how much of the revenue is used to compensate employees with stock options or awards.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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Treasury ETFs
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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