Banner Operating Cycle from 2010 to 2026

BANR Stock  USD 63.80  0.28  0.44%   
Banner Operating Cycle yearly trend continues to be relatively stable with very little volatility. Operating Cycle is likely to grow to 33.47 this year. During the period from 2010 to 2026, Banner Operating Cycle destribution of quarterly values had range of 16.5918 from its regression line and mean deviation of  4.65. View All Fundamentals
 
Operating Cycle  
First Reported
2010-12-31
Previous Quarter
26.9578712
Current Value
33.47
Quarterly Volatility
5.49649294
 
Credit Downgrade
 
Yuan Drop
 
Covid
 
Interest Hikes
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 13.2 M, Interest Expense of 227.9 M or Selling General Administrative of 335.2 M, as well as many indicators such as Price To Sales Ratio of 1.85, Dividend Yield of 0.0247 or PTB Ratio of 0.91. Banner financial statements analysis is a perfect complement when working with Banner Valuation or Volatility modules.
  
Build AI portfolio with Banner Stock
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.
Evaluating Banner's Operating Cycle across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into Banner's fundamental strength.

Latest Banner's Operating Cycle Growth Pattern

Below is the plot of the Operating Cycle of Banner over the last few years. It is Banner's Operating Cycle 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.
Operating Cycle10 Years Trend
Very volatile
   Operating Cycle   
       Timeline  

Banner Operating Cycle Regression Statistics

Arithmetic Mean28.29
Geometric Mean27.82
Coefficient Of Variation19.43
Mean Deviation4.65
Median26.73
Standard Deviation5.50
Sample Variance30.21
Range16.5918
R-Value(0.07)
Mean Square Error32.05
R-Squared0.01
Significance0.78
Slope(0.08)
Total Sum of Squares483.38

Banner Operating Cycle History

2026 33.47
2025 26.96
2024 26.86
2023 31.05
2022 32.51
2021 24.83
2020 26.73

About Banner Financial Statements

Banner shareholders use historical fundamental indicators, such as Operating Cycle, 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
Operating Cycle 26.96  33.47 

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 against Banner Stock

  0.553YB Postal Savings BankPairCorr
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.