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 American Lithium Corp, Pure Energy Minerals, and Frontier Lithium Return On Assets Over Time
Select Fundamental2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
LI | (0.021) | (4.0759) | (4.0759) | (6.4123) | (2.4859) | (0.2651) | (0.2651) | (0.4047) | (1.5265) | (0.7697) | (0.7697) | (0.1225) | (0.1856) | (0.2299) | (0.24) |
PE | (0.0549) | (1.2708) | (0.5152) | (0.1755) | (0.8671) | (0.4548) | (0.1343) | (0.2201) | (0.0293) | (0.0145) | (0.0106) | 0.0022 | (0.0097) | (0.0231) | (0.0242) |
FL | (0.5264) | (0.0856) | (3.2192) | (0.3288) | (0.2144) | (0.2346) | (0.1832) | (0.4163) | (0.1378) | (0.1215) | (0.2649) | (0.4447) | (0.6885) | (1.1296) | (1.07) |
WML | (2.2351) | (7.9288) | (1.1324) | (16.9369) | (2.0024) | (0.6365) | (0.3514) | (0.6987) | (0.4213) | (0.1489) | (0.1597) | 0.1145 | (0.1884) | (0.17) | (0.18) |
NEV | (0.2052) | (0.7512) | (0.4453) | (0.5161) | (0.3795) | (0.0344) | (0.4503) | (1.7815) | (1.9291) | (0.2353) | (1.6627) | 0.6089 | (1.3646) | (1.57) | (1.49) |
American Lithium Corp, Pure Energy Minerals, and Frontier Lithium 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.Trending Themes
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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 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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