Compare Return On Tangible 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 Return On Tangible Assets Analysis
Compare Integral Ad Science, and SALESFORCECOM INC Return On Tangible Assets Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| IAS | (0.4703) | (0.4703) | (0.4703) | (0.4703) | (0.4703) | (0.4703) | (0.4703) | (0.4703) | (0.4703) | (0.4703) | (0.2392) | (0.2969) | 0.0607 | 0.0244 | 0.0219 | 0.023 |
Integral Ad Science, and SALESFORCECOM INC Return On Tangible Assets description
A profitability metric that measures a company's ability to generate earnings from its tangible assets.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 | |
 | Warren Buffett Holdings 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 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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