Compare Revenue to 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.
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Cross Equities Revenue to Assets Analysis

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2010201120122013201420152016201720182019202020212022
ACIW0.69560.69980.53290.51430.54910.52560.52870.55020.47580.38630.38220.43390.5284
ADBE0.50230.50230.50230.50230.50230.50230.50230.57950.57950.57950.57950.48110.4532
AKAM0.43510.49390.52830.53350.49080.52470.53510.54380.4970.4130.41190.42530.508
ALTR1.32581.32581.32581.32581.32581.32581.24911.15790.82030.61750.56620.45750.4671
APPN1.33341.33341.33341.33341.33341.33341.29381.09740.97240.70080.59430.73190.9431
ATEN1.56351.56351.56351.51120.961.03331.03911.0470.98450.77590.77550.63610.9295

Aci Worldwide, Adobe Systems, Akamai Technologies, Alfi Inc, Altair Engineering, APPTECH CORP, Appian Corp Cl, Arbe Robotics, Arqit Quantum, and A10 Networks Revenue to Assets description

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.
Macroaxis Index
Invested few shares
Dividend Beast
Invested few shares
Insurance
Invested over 200 shares
Corona Opportunity
Invested over 300 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.

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