Compare Net Debt To E B I T D A Across Equities
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Cross Equities Net Debt To E B I T D A Analysis
Compare Modine Manufacturing, American Axle Manufa, and Biglari Holdings 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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MOD | 0.3198 | 1.1085 | 2.5235 | 0.8169 | 0.7007 | 1.7679 | 3.733 | 2.3905 | 2.0785 | 3.1033 | (9.4792) | 2.2503 | 1.3731 | 1.5227 | 1.6 |
| AXL | 5.7891 | 2.9085 | 4.878 | 3.3671 | 2.7014 | 1.9227 | 1.5533 | 3.9435 | 5.6341 | 13.6599 | 27.484 | 3.2159 | 3.4354 | 3.7426 | 2.5 |
| BH | 4.4921 | 2.4798 | 2.8247 | 5.2206 | 28.8362 | 28.8362 | 3.9036 | 7.1536 | 3.5235 | 7.634 | (105) | 0.9944 | (118) | 0.9339 | 0.98 |
| THO | (1.181) | (1.0602) | (0.9688) | (1.0537) | (0.5698) | 0.3375 | (0.1189) | (0.3711) | 3.5743 | 1.9064 | 1.0092 | 0.7939 | 0.9989 | 0.9024 | 0.95 |
| CAKE | (0.1924) | (0.3599) | (0.3599) | 0.0186 | (0.0789) | (0.0789) | (0.0789) | (0.0789) | (0.0789) | 6.7265 | 6.7241 | 6.7241 | 6.7241 | 6.7241 | 6.7265 |
| MGA | 2.4652 | (0.5455) | (0.4217) | (0.3847) | (0.0575) | (0.0783) | 0.5544 | 0.6659 | 0.9239 | 0.9687 | 1.0363 | 0.7607 | 1.597 | 1.6453 | 1.73 |
| KRUS | 0.2756 | 0.2756 | 0.2756 | 0.2756 | 0.2756 | 0.2756 | 0.2756 | (0.3544) | (8.9311) | (4.2279) | (5.5677) | 10.9834 | 5.1747 | 28.2656 | 29.68 |
| INN | 6.707 | 5.6596 | 9.6317 | 4.5543 | 5.1817 | 4.4619 | 3.9732 | 4.8974 | 4.9223 | 5.6465 | 551 | 12.31 | 7.8878 | 6.2139 | 5.9 |
Modine Manufacturing, American Axle Manufa, and Biglari Holdings 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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