Flowers Operating Cycle from 2010 to 2026

FLO Stock  USD 11.43  0.36  3.25%   
Flowers Foods Operating Cycle yearly trend continues to be very stable with very little volatility. Operating Cycle is likely to drop to 45.50. During the period from 2010 to 2026, Flowers Foods Operating Cycle quarterly data regression pattern had sample variance of  21.80 and median of  58.32. View All Fundamentals
 
Operating Cycle  
First Reported
2010-12-31
Previous Quarter
56.11
Current Value
45.5
Quarterly Volatility
4.66910853
 
Credit Downgrade
 
Yuan Drop
 
Covid
 
Interest Hikes
Check Flowers Foods financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Flowers Foods' main balance sheet or income statement drivers, such as Depreciation And Amortization of 110.5 M, Interest Expense of 44.8 M or Total Revenue of 3.3 B, as well as many indicators such as Price To Sales Ratio of 0.74, Dividend Yield of 0.0351 or PTB Ratio of 2.38. Flowers financial statements analysis is a perfect complement when working with Flowers Foods Valuation or Volatility modules.
  
Build AI portfolio with Flowers Stock
Check out the analysis of Flowers Foods Correlation against competitors.
To learn how to invest in Flowers Stock, please use our How to Invest in Flowers Foods guide.
Evaluating Flowers Foods'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 Flowers Foods's fundamental strength.

Latest Flowers Foods' Operating Cycle Growth Pattern

Below is the plot of the Operating Cycle of Flowers Foods over the last few years. It is Flowers Foods' Operating Cycle historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Flowers Foods' overall financial position and show how it may be relating to other accounts over time.
Operating Cycle10 Years Trend
Very volatile
   Operating Cycle   
       Timeline  

Flowers Operating Cycle Regression Statistics

Arithmetic Mean57.73
Geometric Mean57.54
Coefficient Of Variation8.09
Mean Deviation3.61
Median58.32
Standard Deviation4.67
Sample Variance21.80
Range16.8428
R-Value(0.05)
Mean Square Error23.20
R-Squared0
Significance0.86
Slope(0.04)
Total Sum of Squares348.81

Flowers Operating Cycle History

2026 45.5
2025 56.11
2023 62.34
2022 61.89
2021 60.96
2020 57.27
2019 59.45

About Flowers Foods Financial Statements

Flowers Foods investors utilize fundamental indicators, such as Operating Cycle, to predict how Flowers Stock might perform in the future. Analyzing these trends over time helps investors make informed market timing decisions. For further insights, please visit our fundamental analysis page.
Last ReportedProjected for Next Year
Operating Cycle 56.11  45.50 

Pair Trading with Flowers Foods

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

Moving against Flowers Stock

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The ability to find closely correlated positions to Flowers Foods could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Flowers Foods 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 Flowers Foods - 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 Flowers Foods to buy it.
The correlation of Flowers Foods 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 Flowers Foods moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Flowers Foods 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 Flowers Foods 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 Flowers Foods offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Flowers Foods' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Flowers Foods Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Flowers Foods Stock:
Check out the analysis of Flowers Foods Correlation against competitors.
To learn how to invest in Flowers Stock, please use our How to Invest in Flowers Foods guide.
You can also try the Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
Will Packaged Foods & Meats sector continue expanding? Could Flowers diversify its offerings? Factors like these will boost the valuation of Flowers Foods. Market participants price Flowers higher when confident in its future expansion prospects. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every Flowers Foods data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Quarterly Earnings Growth
0.2
Dividend Share
0.975
Earnings Share
0.91
Revenue Per Share
24.312
Quarterly Revenue Growth
0.088
The market value of Flowers Foods is measured differently than its book value, which is the value of Flowers that is recorded on the company's balance sheet. Investors also form their own opinion of Flowers Foods' value that differs from its market value or its book value, called intrinsic value, which is Flowers Foods' true underlying value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Because Flowers Foods' market value can be influenced by many factors that don't directly affect Flowers Foods' 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 Flowers Foods' value and its price as these two are different measures arrived at by different means. Investors typically determine if Flowers Foods is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Meanwhile, Flowers Foods' quoted price indicates the marketplace figure where supply meets demand through bilateral consent.