Flowers Short Long Term Debt Total from 2010 to 2024

FLO Stock  USD 22.81  0.06  0.26%   
Flowers Foods Short and Long Term Debt Total yearly trend continues to be very stable with very little volatility. Short and Long Term Debt Total is likely to grow to about 1.4 B this year. During the period from 2010 to 2024, Flowers Foods Short and Long Term Debt Total quarterly data regression pattern had sample variance of 124501.4 T and median of  1,008,617,000. View All Fundamentals
 
Short and Long Term Debt Total  
First Reported
2000-12-31
Previous Quarter
1.4 B
Current Value
1.4 B
Quarterly Volatility
490.3 M
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
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 110.4 M, Interest Expense of 38.4 M or Total Revenue of 3.2 B, as well as many indicators such as Price To Sales Ratio of 0.74, Dividend Yield of 0.0348 or PTB Ratio of 2.4. Flowers financial statements analysis is a perfect complement when working with Flowers Foods Valuation or Volatility modules.
  
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.

Latest Flowers Foods' Short Long Term Debt Total Growth Pattern

Below is the plot of the Short Long Term Debt Total of Flowers Foods over the last few years. It is Flowers Foods' Short and Long Term Debt Total 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.
Short Long Term Debt Total10 Years Trend
Slightly volatile
   Short Long Term Debt Total   
       Timeline  

Flowers Short Long Term Debt Total Regression Statistics

Arithmetic Mean964,879,817
Geometric Mean877,849,760
Coefficient Of Variation36.57
Mean Deviation270,233,187
Median1,008,617,000
Standard Deviation352,847,611
Sample Variance124501.4T
Range1.2B
R-Value0.91
Mean Square Error22130.5T
R-Squared0.83
Slope72,094,274
Total Sum of Squares1743020.1T

Flowers Short Long Term Debt Total History

20241.4 B
20231.4 B
20221.2 B
20211.2 B
20201.3 B
20191.3 B
2018B

About Flowers Foods Financial Statements

Flowers Foods investors utilize fundamental indicators, such as Short Long Term Debt Total, 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
Short and Long Term Debt Total1.4 B1.4 B

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 together with Flowers Stock

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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 Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.
Is Packaged Foods & Meats space 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 Flowers Foods. If investors know Flowers 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 Flowers Foods 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
0.2
Dividend Share
0.94
Earnings Share
1.14
Revenue Per Share
24.259
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. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. 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. However, Flowers Foods' 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.