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 Eaton Vance National, John Hancock Investors, and MFS Municipal Income Net Debt To E B I T D A Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 |
| JHI | (0.0027) | (0.0027) | (14.9861) | (69.429) | (11.3972) | (30.3611) | (30.3611) | (30.3611) | 135 | 135 | (2.6015) | (2.6015) | (2.6015) | (2.34) | (2.22) |
| MFM | (71.661) | (71.661) | (71.661) | (71.661) | (71.661) | (71.661) | (71.661) | (71.661) | (71.661) | (71.661) | (1.4449) | (1.4449) | (14.0384) | (12.63) | (13.27) |
| 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) |
Eaton Vance National, John Hancock Investors, and MFS Municipal Income 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 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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