Banner Change To Netincome from 2010 to 2024

BANR Stock  USD 68.14  0.57  0.84%   
Banner Change To Netincome yearly trend continues to be relatively stable with very little volatility. Change To Netincome is likely to grow to about 26 M this year. During the period from 2010 to 2024, Banner Change To Netincome destribution of quarterly values had range of 439.7 M from its regression line and mean deviation of  63,924,571. View All Fundamentals
 
Change To Netincome  
First Reported
2012-03-31
Previous Quarter
M
Current Value
M
Quarterly Volatility
60.3 M
 
Yuan Drop
 
Covid
Check Banner financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Banner's main balance sheet or income statement drivers, such as Depreciation And Amortization of 12.9 M, Interest Expense of 131.8 M or Selling General Administrative of 267.8 M, as well as many indicators such as Price To Sales Ratio of 3.39, Dividend Yield of 0.0249 or PTB Ratio of 0.9. Banner financial statements analysis is a perfect complement when working with Banner Valuation or Volatility modules.
  
Check out the analysis of Banner Correlation against competitors.
To learn how to invest in Banner Stock, please use our How to Invest in Banner guide.

Latest Banner's Change To Netincome Growth Pattern

Below is the plot of the Change To Netincome of Banner over the last few years. It is Banner's Change To Netincome historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Banner's overall financial position and show how it may be relating to other accounts over time.
Change To Netincome10 Years Trend
Pretty Stable
   Change To Netincome   
       Timeline  

Banner Change To Netincome Regression Statistics

Arithmetic Mean10,833,660
Geometric Mean19,590,809
Coefficient Of Variation932.40
Mean Deviation63,924,571
Median136,000
Standard Deviation101,012,723
Sample Variance10203.6T
Range439.7M
R-Value0.19
Mean Square Error10603.8T
R-Squared0.04
Significance0.50
Slope4,226,204
Total Sum of Squares142850T

Banner Change To Netincome History

202426 M
202324.8 M
202221.5 M
2021149.4 M
202027.7 M
2019-17 M
2018-123 M

About Banner Financial Statements

Banner shareholders use historical fundamental indicators, such as Change To Netincome, to determine how well the company is positioned to perform in the future. Although Banner investors may analyze each financial statement separately, they are all interrelated. The changes in Banner's assets and liabilities, for example, are also reflected in the revenues and expenses on on Banner's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
Last ReportedProjected for Next Year
Change To Netincome24.8 M26 M

Pair Trading with Banner

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

Moving together with Banner Stock

  0.93AX Axos FinancialPairCorr
  0.9BY Byline Bancorp Fiscal Year End 23rd of January 2025 PairCorr
  0.97PB Prosperity Bancshares Fiscal Year End 22nd of January 2025 PairCorr

Moving against Banner Stock

  0.63CFG-PE Citizens FinancialPairCorr
  0.51TFC-PR Truist FinancialPairCorr
  0.45TFC-PO Truist FinancialPairCorr
  0.31WF Woori Financial GroupPairCorr
The ability to find closely correlated positions to Banner could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Banner 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 Banner - 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 Banner to buy it.
The correlation of Banner 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 Banner moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Banner 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 Banner 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

Additional Tools for Banner Stock Analysis

When running Banner's price analysis, check to measure Banner'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 Banner is operating at the current time. Most of Banner's value examination focuses on studying past and present price action to predict the probability of Banner's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Banner's price. Additionally, you may evaluate how the addition of Banner to your portfolios can decrease your overall portfolio volatility.