Compare Revenue Per Share 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 Revenue Per Share Analysis
Select Fundamental
2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
UTMD | 0.76 | 10.4269 | 11.196 | 10.7285 | 10.9381 | 10.647 | 10.4767 | 11.1388 | 11.2595 | 12.6052 | 11.5303 | 13.4505 | 14.3748 | 13.8097 | 14.5 |
ANGO | 6.3381 | 8.738 | 9.8235 | 10.0881 | 10.004 | 9.818 | 9.5487 | 9.2862 | 9.5902 | 6.9586 | 7.5898 | 8.1062 | 8.5803 | 7.5636 | 6.04 |
ATRC | 0.0113 | 4.1094 | 4.3389 | 4.0081 | 4.0742 | 4.6245 | 4.9071 | 5.3946 | 5.9152 | 6.1403 | 4.9028 | 6.0873 | 7.223 | 8.6213 | 9.05 |
AKYA | 1.1381 | 1.1381 | 1.1381 | 1.1381 | 1.1381 | 1.1381 | 1.1381 | 1.1381 | 1.1381 | 1.1381 | 1.1437 | 1.4674 | 1.9832 | 2.1747 | 1.26 |
ATR | 5.602 | 35.1176 | 35.1102 | 38.13 | 39.9608 | 37.024 | 37.1144 | 39.5497 | 44.2808 | 44.9827 | 45.4739 | 49.1482 | 50.7974 | 53.1494 | 55.81 |
Straumann Holding, Utah Medical Products, and ATRION Revenue Per Share description
The amount of revenue generated by a company per share of stock, calculated by dividing total revenue by the average number of shares outstanding.Use Investing Themes to Complement your positions
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SPAC
Entities that are involved in raising capital, merging with and acquiring companies, and investing in private equity through leveraged buyouts. The SPAC theme has 25 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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