Compare Debt To Equity 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 Debt To Equity Analysis
Select Fundamental
| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| NUVL | (0.1259) | (0.1259) | (0.1259) | (0.1259) | (0.1259) | (0.1259) | (0.1259) | (0.1259) | (0.1259) | (0.1259) | (0.0714) | (0.0714) | (0.0714) | (0.0642) | (0.0674) |
| ACMR | (1.1767) | (1.1767) | (1.1767) | (1.1767) | (1.1767) | (1.1767) | (1.9606) | 0.1281 | 0.1805 | 0.1552 | 0.3239 | 0.0517 | 0.1141 | 0.12 | 0.13 |
| SAIA | 1.3343 | 0.3322 | 0.2385 | 0.2522 | 0.2263 | 0.1612 | 0.1528 | 0.2282 | 0.1766 | 0.1035 | 0.0424 | 0.0336 | 0.025 | 0.0287 | 0.0273 |
| USIO | 0.4908 | 0.0471 | 0.0471 | 0.0471 | 0.0471 | 0.0471 | 0.0471 | 0.0471 | 0.0471 | 0.0471 | 0.0208 | 0.0068 | 0.0051 | 0.0548 | 0.0576 |
| DGII | 0.2331 | 0.1709 | 0.1709 | 0.1709 | 0.1709 | 0.1709 | 0.1709 | 0.1709 | 0.1709 | 0.1709 | 0.1025 | 0.4745 | 0.3766 | 0.2365 | 0.25 |
| UBER | 0.4649 | 0.4649 | 0.4649 | 0.4649 | 0.4649 | 0.4649 | 0.4649 | (0.3664) | 0.6648 | 0.4041 | 0.6261 | 0.6599 | 1.2866 | 0.8545 | 0.46 |
Nuvalent, Evertz Technologies, and Yuexiu Transport Inf Debt To Equity description
A measure of a company's financial leverage calculated by dividing its total liabilities by stockholders' equity, indicating the proportion of equity and debt the company is using to finance its assets.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. | Driverless Cars Invested few shares | |
 | Real Estate Invested over 20 shares | |
 | Momentum Invested few shares | |
 | Macroaxis Picks Invested few shares | |
 | Macroaxis Index Invested over 100 shares | |
 | Artificial Intelligence Invested few shares | |
 | Blockchain Invested few 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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
Other Complementary Tools
| Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
| Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios |