Bank of New York Net Income Trend from 2010 to 2022

BK
 Stock
  

USD 43.08  0.42  0.97%   

Bank of New York Net Income is increasing with slightly volatile movements from year to year. Net Income is estimated to finish at about 3.9 B this year. For the period between 2010 and 2022, Bank of New York, Net Income quarterly trend regression had mean deviation of 693,863,594 and r-value of  0.82. Bank of New York Net Income is increasing as compared to previous years. The last year's value of Net Income was reported at 3.76 Billion. The current Net Income Common Stock is estimated to increase to about 3.7 B, while Selling General and Administrative Expense is projected to decrease to under 7.9 B.
  
Check Bank of New York financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Bank of New York main balance sheet or income statement drivers, such as Consolidated Income of 3.9 B, Earning Before Interest and Taxes EBIT of 4.9 B or Gross Profit of 17.3 B, as well as many exotic indicators such as Calculated Tax Rate of 23.58, PPandE Turnover of 4.72 or Accrued Expenses Turnover of 2.58. Bank of New York financial statements analysis is a perfect complement when working with Bank of New York Valuation or Volatility modules. It can also supplement various Bank of New York Technical models . Continue to the analysis of Bank of New York Correlation against competitors.

Bank of New York Quarterly Net Income

869 Million

Bank of New York Net Income Breakdown

Showing smoothed Net Income of Bank Of New with missing and latest data points interpolated. Net income is one of the most important fundamental items in finance. It plays a large role in Bank of New York financial statement analysis. It represents the amount of money remaining after all of Bank Of New operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. The portion of profit or loss for the period; net of income taxes; which is attributable to the parent after the deduction of Net Income to Non Controlling Interests from Consolidated Income; and before the deduction of Preferred Dividends Income Statement Impact.Bank of New York's Net Income historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Bank of New York's overall financial position and show how it may be relating to other accounts over time.
ViewLast Reported 3.24 B10 Years Trend
Increasing
Slightly volatile
   Net Income   
Share
       Timeline  

Bank of New York Net Income Regression Statistics

Arithmetic Mean 3,301,352,227
Geometric Mean 3,209,499,582
Coefficient Of Variation 24.03
Mean Deviation 693,863,594
Median 3,547,000,000
Standard Deviation 793,344,038
Range 2,337,000,000
R-Value 0.82
R-Squared 0.68
Significance 0.00052163
Slope 168,008,097

Bank of New York Net Income History

20122.4 B
20132.1 B
20142.6 B
20153.2 B
20163.5 B
20174.1 B
20184.3 B
20194.4 B
20203.6 B
20213.8 B
20223.9 B

Other Fundumenentals of Bank of New York

Bank of New York Net Income component correlations

About Bank of New York Financial Statements

There are typically three primary documents that fall into the category of financial statements. These documents include Bank of New York income statement, its balance sheet, and the statement of cash flows. Bank of New York investors use historical funamental indicators, such as Bank of New York's Net Income, to determine how well the company is positioned to perform in the future. Although Bank of New York investors may use each financial statement separately, they are all related. The changes in Bank of New York's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on Bank of New York's income statement, which results in the company's gains or losses. Cash flows can provide more information regarding cash listed on a balance sheet, but not equivalent to net income shown on the income statement. We offer a historical overview of the basic patterns found on Bank of New York Financial Statements. Understanding these patterns can help to make the right decision on long term investment in Bank of New York. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for 2022
Net Income3.8 B3.9 B
Net Income Common Stock3.6 B3.7 B
Net Income to Non Controlling Interests12 M12.3 M
Net Income Per Employee76.6 K66.7 K
The Bank of New York Mellon Corporation provides a range of financial products and services in the United States and internationally. The company was founded in 1784 and is headquartered in New York, New York. Bank of New York operates under Asset Management classification in the United States and is traded on New York Stock Exchange. It employs 50800 people.

Bank of New York Investors Sentiment

The influence of Bank of New York's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Bank of New York. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock markets does not have a solid backing from leading economists and market statisticians.
Investor biases related to Bank of New York's public news can be used to forecast risks associated with investment in Bank of New York. The trend in average sentiment can be used to explain how an investor holding Bank of New York can time the market purely based on public headlines and social activities around Bank Of New. Please note that most equiteis that are difficult to arbitrage are affected by market sentiment the most.
Bank of New York's market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Bank of New York's and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average Bank of New York's news discussions. The higher the estimate score, the more favorable is the investor's outlook on Bank of New York.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Bank of New York in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Bank of New York's short interest history, or implied volatility extrapolated from Bank of New York options trading.

Pair Trading with Bank of New York

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 New York 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 New York will appreciate offsetting losses from the drop in the long position's value.

Moving together with Bank of New York

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The ability to find closely correlated positions to Bank of New York 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 New York 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 New York - 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 New to buy it.
The correlation of Bank of New York is a statistical measure of how it moves in relation to other equities. 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 New York moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Bank of New York 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 New York 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.
Pair CorrelationCorrelation Matching
Continue to the analysis of Bank of New York Correlation against competitors. Note that the Bank of New York information on this page should be used as a complementary analysis to other Bank of New York'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 Portfolio Holdings module to check your current holdings and cash postion to detemine if your portfolio needs rebalancing.

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When running Bank of New York price analysis, check to measure Bank of New York'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 New York is operating at the current time. Most of Bank of New York's value examination focuses on studying past and present price action to predict the probability of Bank of New York's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Bank of New York's price. Additionally, you may evaluate how the addition of Bank of New York to your portfolios can decrease your overall portfolio volatility.
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Is Bank of New York's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Bank of New York. If investors know Bank of New York will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Bank of New York listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth YOY
-0.089
Market Capitalization
35.2 B
Quarterly Revenue Growth YOY
0.04
Return On Assets
0.0075
Return On Equity
0.0792
The market value of Bank of New York is measured differently than its book value, which is the value of Bank of New York that is recorded on the company's balance sheet. Investors also form their own opinion of Bank of New York's value that differs from its market value or its book value, called intrinsic value, which is Bank of New York's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Bank of New York's market value can be influenced by many factors that don't directly affect Bank of New York's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Bank of New York's value and its price as these two are different measures arrived at by different means. Investors typically determine Bank of New York value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Bank of New York's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.