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 Logan Ridge Finance, Puyi Inc ADR, and MFS Investment Grade 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 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
LRFC | 2.5553 | 2.5553 | 2.5553 | 2.7007 | 9.8797 | 9.8797 | 9.8798 | 20.4033 | (391) | 68.2311 | 68.2311 | 5.6824 | 25.7986 | 29.67 | 31.15 |
CXH | 5.3282 | 5.3282 | 5.3282 | 5.3282 | (68.1847) | 99.6241 | (2.8146) | (2.8146) | (2.8146) | (2.8146) | (2.8146) | (2.8146) | (62.9433) | (72.38) | (68.77) |
EOT | (0.3636) | (0.3636) | (0.3636) | (0.3636) | (0.3636) | (0.3636) | 3.0424 | 3.0424 | 2.5191 | 1.996 | 0.297 | (0.8516) | (2.0533) | 2.7954 | 2.94 |
WHF | (0.3432) | (0.3432) | (0.3432) | 0.6935 | 7.052 | 5.345 | 4.1831 | 4.2645 | 2.6493 | 9.3078 | 8.4265 | 10.0279 | 11.9776 | 10.78 | 11.32 |
MRCC | 40.5896 | 40.5896 | 40.5896 | 62.1326 | (81.3681) | (91.212) | 607 | 3.6828 | 3.6828 | 3.6828 | 3.6828 | 3.6828 | 3.6828 | 3.31 | 3.15 |
Logan Ridge Finance, Puyi Inc ADR, and MFS Investment Grade 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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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