Compare Payout Ratio 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 Payout Ratio Analysis
Compare Brenmiller Energy, and Apogee Enterprises Payout Ratio Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| BNRG | 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 |
| APOG | 0.1832 | 0.3846 | 0.3846 | 0.3846 | 0.3909 | 0.3909 | 0.3909 | 0.3909 | 0.3909 | 0.2122 | 0.2122 | 0.2122 | 0.2122 | 0.2122 | 0.3023 |
Brenmiller Energy, and Apogee Enterprises Payout Ratio description
Payout Ratio is the proportion of organizations earnings paid out as dividends to shareholders. Payout Ratio is typically expressed as a percentage but can be shown as dividends paid out as a proportion of cash flow. The payout ratio is used to determine the sustainability of entities dividend payments. A lower payout ratio is generally preferable to a higher payout ratio, with a ratio greater than 100% indicating entities is paying out more in dividends than it makes in net income.Generate Optimal Portfolios
The classical approach to portfolio optimization is known as Modern Portfolio Theory (MPT). It involves categorizing the investment universe based on risk (standard deviation) and return, and then choosing the mix of investments that achieves the desired risk-versus-return tradeoff. Portfolio optimization can also be thought of as a risk-management strategy as every type of equity has a distinct return and risk characteristics as well as different systemic risks, which describes how they respond to the market at large. Macroaxis enables investors to optimize portfolios that have a mix of equities (such as stocks, funds, or ETFs) and cryptocurrencies (such as Bitcoin, Ethereum or Monero)
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
Other Complementary Tools
| Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
| Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
| Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio | |
| Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals |