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 Regeneron Pharmaceuticals, Crispr Therapeutics, and Sarepta Therapeutics Long Term Debt To Capitalization Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| REGN | 0.0221 | 0.3615 | 0.1923 | 0.141 | 0.0546 | 0.1521 | 0.1521 | 0.1521 | 0.1521 | 0.1521 | 0.1521 | 0.0954 | 0.0804 | 0.0709 | 0.0674 |
| CRSP | 4.1494 | 4.1494 | 4.1494 | 4.1494 | 4.1494 | 4.1494 | 4.1494 | 4.1494 | 4.1494 | 4.1494 | 4.1494 | 4.1494 | 4.1494 | 3.73 | 3.32 |
| SRPT | 0.0728 | 0.0536 | 0.0133 | 0.0063 | 0.0149 | 0.0729 | 0.0176 | 0.35 | 0.2895 | 0.4546 | 0.5658 | 0.5417 | 0.8005 | 0.5686 | 0.6 |
| NTLA | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| MRNA | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| CVAC | 2.9266 | 2.9266 | 2.9266 | 2.9266 | 2.9266 | 2.9266 | 2.9266 | 2.9266 | 2.9266 | 2.9266 | 2.9266 | 2.9266 | 2.9266 | 2.63 | 2.34 |
| NVAX | 0.3859 | 0.0055 | 0.0093 | 0.0049 | 0.0017 | 1.0178 | 1.0178 | 1.4709 | 2.1103 | 2.3821 | 0.3393 | (11.464) | (0.356) | (0.3061) | (0.29) |
Regeneron Pharmaceuticals, Crispr Therapeutics, and Sarepta Therapeutics Long Term Debt To Capitalization description
Trending Themes
If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment. | Macroaxis Index Invested few shares | |
 | Momentum Invested few shares | |
 | Social Domain Invested few shares | |
 | Driverless Cars Invested few shares | |
 | Macroaxis Picks Invested over 60 shares | |
 | Automobiles and Trucks Invested over 200 shares | |
 | Artificial Intelligence Invested few shares | |
 | FinTech Invested over 40 shares | |
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 ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.
Other Complementary Tools
| Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency | |
| Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
| Economic Indicators Top statistical indicators that provide insights into how an economy is performing | |
| Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals |