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 American Airlines, Southwest Airlines, and JetBlue Airways Corp 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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AAL | 0.7062 | (74.1776) | 0.5868 | (8.929) | 2.9804 | 2.839 | 3.3758 | 3.8193 | 6.2819 | 5.529 | (4.9644) | 27.8658 | 10.0766 | 7.7057 | 8.09 |
| LUV | 2.4546 | 2.3951 | 1.2332 | 0.6626 | 0.4889 | 0.3495 | 0.3655 | 0.4809 | 0.3443 | 0.3424 | (0.4209) | (0.0657) | (0.0256) | (0.0368) | (0.035) |
| JBLU | 1.2936 | 4.4378 | 4.1316 | 3.2153 | 3.6667 | 0.9769 | 0.5552 | 0.6201 | 1.6272 | 1.637 | (3.1963) | 6.1593 | 10.6401 | 8.4789 | 5.15 |
| UAL | 26.566 | 1.961 | 5.2607 | 3.1023 | 2.8977 | 1.3147 | 1.503 | 2.2351 | 2.4057 | 2.5829 | (4.0213) | 14.5628 | 5.7173 | 3.9134 | 4.08 |
| ULCC | (0.6481) | (0.6481) | (0.6481) | (0.6481) | (0.6481) | (0.6481) | (0.9289) | (2.5882) | (2.5882) | 4.6846 | (6.8318) | (19.5051) | 722 | 34.3373 | 32.62 |
American Airlines, Southwest Airlines, and JetBlue Airways Corp 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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