Bank Of America Preferred Stock EBITDA
| BAC-PN Preferred Stock | USD 21.78 0.01 0.05% |
Bank of America fundamentals help investors to digest information that contributes to Bank of America's financial success or failures. It also enables traders to predict the movement of Bank Preferred Stock. The fundamental analysis module provides a way to measure Bank of America's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Bank of America preferred stock.
Bank |
Bank of America Company EBITDA Analysis
Bank of America's EBITDA stands for earnings before interest, taxes, depreciation, and amortization. It is a measure of a company operating cash flow based on data from the company income statement and is a very good way to compare companies within industries or across different sectors. However, unlike Operating Cash Flow, EBITDA does not include the effects of changes in working capital.
Current Bank of America EBITDA | 40.61 B |
Most of Bank of America's fundamental indicators, such as EBITDA, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Bank of America is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
In a nutshell, EBITDA is calculated by adding back each of the excluded items to the post-tax profit, and can be used to compare companies with very different capital structures.
| Competition |
According to the company disclosure, Bank of America reported earnings before interest,tax, depreciation and amortization of 40.61 B. This is 35.88% lower than that of the Financial Services sector and significantly higher than that of the Banks—Diversified industry. The ebitda for all United States preferred stocks is significantly lower than that of the firm.
Bank EBITDA Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Bank of America's direct or indirect competition against its EBITDA to detect undervalued stocks with similar characteristics or determine the preferred stocks which would be a good addition to a portfolio. Peer analysis of Bank of America could also be used in its relative valuation, which is a method of valuing Bank of America by comparing valuation metrics of similar companies.Bank of America is currently under evaluation in ebitda category among related companies.
Bank Fundamentals
| Return On Equity | 0.1 | ||||
| Return On Asset | 0.0089 | ||||
| Profit Margin | 0.30 % | ||||
| Operating Margin | 0.34 % | ||||
| Current Valuation | (89.01 B) | ||||
| Shares Owned By Institutions | 15.77 % | ||||
| Number Of Shares Shorted | 302.12 K | ||||
| Price To Earning | 9.47 X | ||||
| Revenue | 94.95 B | ||||
| Gross Profit | 92.41 B | ||||
| EBITDA | 40.61 B | ||||
| Net Income | 27.53 B | ||||
| Cash And Equivalents | 932.64 B | ||||
| Cash Per Share | 107.68 X | ||||
| Total Debt | 275.98 B | ||||
| Book Value Per Share | 30.61 X | ||||
| Cash Flow From Operations | (7.19 B) | ||||
| Short Ratio | 1.94 X | ||||
| Earnings Per Share | 3.51 X | ||||
| Number Of Employees | 216.82 K | ||||
| Beta | 1.4 | ||||
| Total Asset | 3.05 T | ||||
| Annual Yield | 0.06 % | ||||
| Net Asset | 3.05 T | ||||
| Last Dividend Paid | 0.86 |
About Bank of America Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Bank of America's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Bank of America using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Bank of America based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
Pair Trading with Bank of America
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Bank of America position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Bank of America will appreciate offsetting losses from the drop in the long position's value.Moving against Bank Preferred Stock
| 0.5 | NTB | Bank of NT | PairCorr |
The ability to find closely correlated positions to Bank of America could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Bank of America when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Bank of America - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Bank of America to buy it.
The correlation of Bank of America is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Bank of America moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Bank of America moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Bank of America can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Bank of America. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. To learn how to invest in Bank Preferred Stock, please use our How to Invest in Bank of America guide.Note that the Bank of America information on this page should be used as a complementary analysis to other Bank of America's statistical models used 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 Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
Complementary Tools for Bank Preferred Stock analysis
When running Bank of America's price analysis, check to measure Bank of America's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Bank of America is operating at the current time. Most of Bank of America's value examination focuses on studying past and present price action to predict the probability of Bank of America's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Bank of America's price. Additionally, you may evaluate how the addition of Bank of America to your portfolios can decrease your overall portfolio volatility.
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