Bank Net Interest Income from 2010 to 2026
| BOFA Stock | 25.28 0.10 0.40% |
Net Interest Income | First Reported 2010-12-31 | Previous Quarter 64.5 B | Current Value 55.1 B | Quarterly Volatility 5.2 B |
Check Bank of America financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Bank of America's main balance sheet or income statement drivers, such as Tax Provision of 2.1 B, Net Interest Income of 55.1 B or Interest Income of 95.3 B, as well as many indicators such as . Bank financial statements analysis is a perfect complement when working with Bank of America Valuation or Volatility modules.
Bank | Net Interest Income |
Analyzing Bank of America's Net Interest Income over time reveals critical patterns in financial health and operational efficiency. This metric helps investors evaluate trends, identify inflection points, and make informed decisions based on historical performance. Understanding how Net Interest Income has evolved provides context for assessing Bank of America's current valuation and future prospects.
Latest Bank of America's Net Interest Income Growth Pattern
Below is the plot of the Net Interest Income of Bank of America over the last few years. It is the difference between the revenue generated from a bank's interest-bearing assets and the expenses associated with paying its interest-bearing liabilities. Bank of America's Net Interest Income historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Bank of America's overall financial position and show how it may be relating to other accounts over time.
| Net Interest Income | 10 Years Trend |
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Net Interest Income |
| Timeline |
Bank Net Interest Income Regression Statistics
| Arithmetic Mean | 50,602,527,451 | |
| Geometric Mean | 50,368,223,844 | |
| Coefficient Of Variation | 10.20 | |
| Mean Deviation | 3,767,803,460 | |
| Median | 48,891,000,000 | |
| Standard Deviation | 5,162,994,597 | |
| Sample Variance | 26656513.2T | |
| Range | 21.5B | |
| R-Value | 0.55 | |
| Mean Square Error | 19982751.3T | |
| R-Squared | 0.30 | |
| Significance | 0.02 | |
| Slope | 557,398,856 | |
| Total Sum of Squares | 426504211.3T |
Bank Net Interest Income History
About Bank of America Financial Statements
Bank of America stakeholders use historical fundamental indicators, such as Bank of America's Net Interest Income, to determine how well the company is positioned to perform in the future. Although Bank of America investors may analyze each financial statement separately, they are all interrelated. For example, changes in Bank of America's assets and liabilities are reflected in the revenues and expenses on Bank of America's income statement, which ultimately affect the company's gains or losses. Understanding these patterns can help in making the right long-term investment decisions in Bank of America. Please read more on our technical analysis and fundamental analysis pages.
| Last Reported | Projected for Next Year | ||
| Net Interest Income | 64.5 B | 55.1 B |
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 Stock
| 0.76 | AEM | Agnico Eagle Mines | PairCorr |
| 0.69 | FNV | Franco Nevada Earnings Call This Week | PairCorr |
| 0.61 | GQ | Great Quest Fertilizer Split | PairCorr |
| 0.59 | TOT | Total Energy Services Earnings Call This Week | PairCorr |
| 0.58 | CBR | Cabral Gold | 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 the analysis of Bank of America Correlation against competitors. For information on how to trade Bank Stock refer to our How to Trade Bank Stock guide.You can also try the Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.