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Bank of New York Earnings Estimate

BK Stock  USD 57.62  0.69  1.21%   
The next projected EPS of Bank of New York is estimated to be 1.18 with future projections ranging from a low of 1.06 to a high of 1.33. Bank of New York's most recent 12-month trailing earnings per share (EPS TTM) is at 3.87. Please be aware that the consensus of earnings estimates for Bank Of New is based on EPS before non-recurring items and includes expenses related to employee stock options.
 
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Bank of New York is projected to generate 1.18 in earnings per share on the 31st of March 2024. Bank of New York earnings estimates module stress-tests analyst consensus about projected Bank Of New EPS (Earning Per Share) to derive its highest and lowest estimates based on its historical volatility. Many public companies, such as Bank of New York, manage the perception of their earnings on a regular basis to make sure that analyst estimates are accurate. Future earnings calculations are also an essential input when attempting to value a firm. By analyzing Bank of New York's earnings estimates, investors can diagnose different trends across Bank of New York's analyst sentiment over time as well as compare current estimates against different timeframes. At this time, Bank of New York's Gross Profit is quite stable compared to the past year. Net Profit Margin is expected to rise to 0.17 this year, although the value of Pretax Profit Margin will most likely fall to 0.12.
  
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Bank Of New. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in industry.

Bank of New York Earnings Estimation Breakdown

The calculation of Bank of New York's earning per share is based on the data from the past 12 consecutive months, used for reporting the company's financial figures. The next projected EPS of Bank of New York is estimated to be 1.18 with the future projection ranging from a low of 1.06 to a high of 1.33. Please be aware that this consensus of annual earnings estimates for Bank Of New is based on EPS before non-recurring items and includes expenses related to employee stock options.
Last Reported EPS
1.28
1.06
Lowest
Expected EPS
1.18
1.33
Highest

Bank of New York Earnings Projection Consensus

Suppose the current estimates of Bank of New York's value are higher than the current market price of the Bank of New York stock. In this case, investors may conclude that Bank of New York is overpriced and will exhibit bullish sentiment. On the other hand, if the present value is lower than the stock price, analysts may conclude that the market undervalues the equity. These scenarios may suggest that the market is not as efficient as it should be at the estimation time, and Bank of New York's stock will quickly adjusts to the new information provided by the consensus estimate.
Number of AnalystsHistorical AccuracyLast Reported EPSEstimated EPS for 31st of March 2024Current EPS (TTM)
2089.95%
1.28
1.18
3.87

Bank of New York Earnings per Share Projection vs Actual

Actual Earning per Share of Bank of New York refers to what the company shows during its earnings calls or quarterly reports. The Expected EPS is what analysts covering Bank Of New predict the company's earnings will be in the future. The higher the earnings per share of Bank of New York, the better is its profitability. While calculating the Earning per Share, we use the weighted ratio, as the number of shares outstanding can change over time.

Bank of New York Estimated Months Earnings per Share

For an investor who is primarily interested in generating an income out of investing in entities such as Bank of New York, the EPS ratio can tell if the company is intending to increase its current dividend. Although EPS is an essential tool for investors, it should not be used in isolation. EPS of Bank of New York should always be considered in relation to other companies to make a more educated investment decision.

Bank Quarterly Analyst Estimates and Surprise Metrics

Earnings surprises can significantly impact Bank of New York's stock price both in the short term and over time. Negative earnings surprises usually result in a price decline. However, it has been seen that positive earnings surprises lead to an immediate rise in a stock's price and a gradual increase over time. This is why we often hear news about some companies beating earning projections. Financial analysts spend a large amount of time predicting earnings per share (EPS) along with other important future indicators. Many analysts use forecasting models, management guidance, and additional fundamental information to derive an EPS estimate.
Reported
Fiscal Date
Estimated EPS
Reported EPS
Surprise
2024-01-12
2023-12-311.131.280.1513 
2023-10-17
2023-09-301.151.220.07
2023-07-18
2023-06-301.221.30.08
2023-04-18
2023-03-311.121.120.0
2023-01-13
2022-12-310.870.62-0.2528 
2022-10-17
2022-09-301.11.06-0.04
2022-07-15
2022-06-301.121.150.03
2022-04-18
2022-03-310.850.940.0910 
2022-01-18
2021-12-311.011.040.03
2021-10-19
2021-09-301.011.040.03
2021-07-15
2021-06-3011.130.1313 
2021-04-16
2021-03-310.870.970.111 
2021-01-20
2020-12-310.910.960.05
2020-10-16
2020-09-300.940.980.04
2020-07-15
2020-06-300.911.010.110 
2020-04-16
2020-03-310.91.050.1516 
2020-01-16
2019-12-311.011.010.0
2019-10-16
2019-09-300.991.070.08
2019-07-17
2019-06-300.951.010.06
2019-04-17
2019-03-310.960.94-0.02
2019-01-16
2018-12-310.920.990.07
2018-10-18
2018-09-301.041.060.02
2018-07-19
2018-06-301.021.030.01
2018-04-19
2018-03-310.961.10.1414 
2018-01-18
2017-12-310.910.910.0
2017-10-19
2017-09-300.920.940.02
2017-07-20
2017-06-300.840.880.04
2017-04-20
2017-03-310.80.810.01
2017-01-19
2016-12-310.770.770.0
2016-10-20
2016-09-300.810.90.0911 
2016-07-21
2016-06-300.750.760.01
2016-04-21
2016-03-310.680.740.06
2016-01-21
2015-12-310.640.680.04
2015-10-20
2015-09-300.710.740.03
2015-07-21
2015-06-300.660.770.1116 
2015-04-22
2015-03-310.590.670.0813 
2015-01-23
2014-12-310.590.590.0
2014-10-17
2014-09-300.610.640.03
2014-07-18
2014-06-300.560.620.0610 
2014-04-22
2014-03-310.530.570.04
2014-01-17
2013-12-310.540.540.0
2013-10-16
2013-09-300.580.60.02
2013-07-17
2013-06-300.570.620.05
2013-04-17
2013-03-310.520.5-0.02
2013-01-16
2012-12-310.530.530.0
2012-10-17
2012-09-300.540.570.03
2012-07-18
2012-06-300.530.570.04
2012-04-18
2012-03-310.520.520.0
2012-01-18
2011-12-310.530.42-0.1120 
2011-10-19
2011-09-300.520.590.0713 
2011-07-19
2011-06-300.550.590.04
2011-04-19
2011-03-310.570.5-0.0712 
2011-01-19
2010-12-310.570.590.02
2010-10-19
2010-09-300.540.550.01
2010-07-20
2010-06-300.540.550.01
2010-04-20
2010-03-310.530.590.0611 
2010-01-20
2009-12-310.510.550.04
2009-10-20
2009-09-300.480.540.0612 
2009-07-22
2009-06-300.520.51-0.01
2009-04-21
2009-03-310.630.53-0.115 
2009-01-20
2008-12-310.690.28-0.4159 
2008-10-16
2008-09-300.660.720.06
2008-07-17
2008-06-300.750.67-0.0810 
2008-04-17
2008-03-310.730.72-0.01
2008-01-17
2007-12-310.690.67-0.02
2007-10-18
2007-09-300.610.670.06
2007-07-19
2007-06-300.610.630.02
2007-04-18
2007-03-310.570.590.02
2007-01-17
2006-12-310.550.580.03
2006-10-19
2006-09-300.550.560.01
2006-07-19
2006-06-300.560.590.03
2006-04-20
2006-03-310.540.550.01
2006-01-18
2005-12-310.530.530.0
2005-10-20
2005-09-300.50.510.01
2005-07-20
2005-06-300.50.520.02
2005-04-20
2005-03-310.490.490.0
2005-01-19
2004-12-310.480.480.0
2004-10-20
2004-09-300.460.460.0
2004-07-21
2004-06-300.470.480.01
2004-04-21
2004-03-310.450.470.02
2004-01-21
2003-12-310.440.440.0
2003-10-22
2003-09-300.420.420.0
2003-07-17
2003-06-300.410.410.0
2003-04-16
2003-03-310.410.410.0
2003-01-22
2002-12-310.150.14-0.01
2002-10-16
2002-09-300.110.110.0
2002-07-17
2002-06-300.510.510.0
2002-04-17
2002-03-310.510.5-0.01
2002-01-17
2001-12-310.450.460.01
2001-10-18
2001-09-300.510.520.01
2001-07-16
2001-06-300.530.52-0.01
2001-04-16
2001-03-310.520.520.0
2001-01-16
2000-12-310.50.50.0
2000-10-16
2000-09-300.490.490.0
2000-07-17
2000-06-300.470.480.01
2000-04-17
2000-03-310.450.460.01
2000-01-18
1999-12-310.430.440.01
1999-10-18
1999-09-300.420.420.0
1999-07-19
1999-06-300.420.420.0
1999-04-19
1999-03-310.410.410.0
1999-01-19
1998-12-310.40.40.0
1998-10-19
1998-09-300.390.390.0
1998-07-20
1998-06-300.380.40.02
1998-04-20
1998-03-310.360.370.01
1998-01-20
1997-12-310.360.380.02
1997-10-21
1997-09-300.350.350.0
1997-07-14
1997-06-300.330.340.01
1997-04-14
1997-03-310.310.330.02
1997-01-16
1996-12-310.30.310.01
1996-10-15
1996-09-300.30.30.0
1996-07-17
1996-06-300.30.30.0
1996-04-11
1996-03-310.290.28-0.01

About Bank of New York Earnings Estimate

The earnings estimate module is a useful tool to check what professional financial analysts are assuming about the future of Bank of New York earnings. We show available consensus EPS estimates for the upcoming years and quarters. Investors can also examine how these consensus opinions have evolved historically. We show current Bank of New York estimates, future projections, as well as estimates 1, 2, and three years ago. Investors can search for a specific entity to conduct investment planning and build diversified portfolios. Please note, earnings estimates provided by Macroaxis are the average expectations of expert analysts that we track. If a given stock such as Bank of New York fails to match professional earnings estimates, it usually performs purely. Wall Street refers to that as a 'negative surprise.' If a company 'beats' future estimates, it's usually called an 'upside surprise.'
Please read more on our stock advisor page.
Last ReportedProjected for 2024
Retained Earnings39.7 B41.6 B
Retained Earnings Total Equity42.2 B25.4 B
Earning Assets255 B206.2 B
Price Earnings Ratio 12.42  15.81 
Price Earnings To Growth Ratio 0.37  0.28 

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. 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 market does not have 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 an investment in Bank. The trend in average sentiment can be used to explain how an investor holding Bank can time the market purely based on public headlines and social activities around Bank Of New. Please note that most equities 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 estimated score, the more favorable is the investor's outlook on Bank of New York.

Bank of New York Implied Volatility

    
  24.66  
Bank of New York's implied volatility exposes the market's sentiment of Bank Of New stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Bank of New York's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Bank of New York stock will not fluctuate a lot when Bank of New York's options are near their expiration.
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 Stock

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Moving against Bank Stock

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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 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 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
When determining whether Bank of New York is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Bank Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Bank Of New Stock. Highlighted below are key reports to facilitate an investment decision about Bank Of New Stock:
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Bank Of New. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in industry.
You can also try the ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.

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When running Bank of New York's 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 the 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 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
(0.68)
Dividend Share
1.58
Earnings Share
3.87
Revenue Per Share
22.17
Quarterly Revenue Growth
0.084
The market value of Bank of New York is measured differently than its book value, which is the value of Bank 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 if Bank of New York is a good investment 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.