Compare Net Debt To E B I T D A 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 Net Debt To E B I T D A Analysis
Compare Essex Property Trust, Mid America Apartment, and Camden Property Trust Net Debt To E B I T D A Over Time
Select Fundamental2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ESS | 4.1209 | 7.7576 | 6.7683 | 6.6081 | 7.7908 | 6.4084 | 6.0043 | 6.1481 | 5.865 | 6.0159 | 6.1173 | 5.9991 | 5.3055 | 3.9411 | 5.13 |
MAA | 2.778 | 10.3852 | 6.5968 | 11.0245 | 6.591 | 5.7869 | 6.9873 | 5.1665 | 5.041 | 9.7352 | 4.8054 | 8.9468 | 7.4659 | 3.557 | 5.37 |
CPT | 5.7018 | 7.5715 | 5.3839 | 5.6099 | 5.4636 | 5.7905 | 4.443 | 3.5981 | 4.1804 | 4.1376 | 4.6622 | 3.8867 | 4.3465 | 3.8418 | 5.97 |
UDR | 0.7395 | 9.8107 | 8.1525 | 7.4431 | 7.3682 | 6.501 | 5.6121 | 5.5893 | 5.1631 | 6.7636 | 6.8889 | 7.418 | 6.5637 | 4.4331 | 5.42 |
NXRT | 6.781 | 6.781 | 6.781 | 6.781 | 41.6576 | 14.3982 | 11.9175 | 12.0314 | 12.5243 | 6.3124 | 7.9983 | 9.9475 | 12.1292 | 5.8443 | 5.55 |
Essex Property Trust, Mid America Apartment, and Camden Property Trust Net Debt To E B I T D A description
A leverage ratio that indicates a company's ability to pay off its incurred debt. It compares a company's net debt (total debt minus cash) to its Earnings Before Interest, Taxes, Depreciation, and Amortization (EBITDA).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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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