Compare Long Term Debt To Capitalization 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 Long Term Debt To Capitalization Analysis
Compare Xponential Fitness, Modine Manufacturing, and Playtika Holding Corp Long Term Debt To Capitalization Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| XPOF | 0.6908 | 0.6908 | 0.6908 | 0.6908 | 0.6908 | 0.6908 | 0.6908 | 0.6908 | 0.6908 | 0.8487 | 0.9737 | (0.2431) | (6.1198) | 1.0343 | 1.09 |
| MOD | 0.1567 | 0.2929 | 0.3306 | 0.2344 | 0.2644 | 0.247 | 0.4906 | 0.4366 | 0.4139 | 0.4762 | 0.4638 | 0.43 | 0.3545 | 0.3474 | 0.22 |
| PLTK | 0.0221 | 0.0221 | 0.0221 | 0.0221 | 0.0221 | 0.0221 | 0.0221 | 0.0221 | 0.0221 | 3.2938 | 2.2034 | 1.1775 | 1.2935 | 1.1017 | 1.67 |
| LIDR | 0.9909 | 0.9909 | 0.9909 | 0.9909 | 0.9909 | 0.9909 | 0.9909 | 0.9909 | 0.9909 | 0.9909 | (0.188) | (0.188) | (0.188) | (0.22) | (0.21) |
| MGA | 0.4474 | 0.0056 | 0.0117 | 0.0105 | 0.0856 | 0.2074 | 0.1968 | 0.2215 | 0.2237 | 0.2204 | 0.2589 | 0.2301 | 0.2066 | 0.261 | 0.2 |
| THO | 0.0031 | 0.2215 | 0.2215 | 0.2215 | 0.2215 | 0.2215 | 0.0842 | 0.4736 | 0.4736 | 0.4134 | 0.3531 | 0.3292 | 0.2452 | 0.2131 | 0.16 |
| HAS | 0.0971 | 0.3915 | 0.3915 | 0.3915 | 0.3915 | 0.3915 | 0.5646 | 0.4807 | 0.5646 | 0.5646 | 0.5646 | 0.5646 | 0.7364 | 0.66 | 0.7 |
Xponential Fitness, Modine Manufacturing, and Playtika Holding Corp Long Term Debt To Capitalization description
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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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