Flowers Accumulated Depreciation from 2010 to 2025

FLO Stock  USD 18.16  0.29  1.57%   
Flowers Foods Accumulated Depreciation yearly trend continues to be very stable with very little volatility. Accumulated Depreciation is likely to drop to about -1.4 B. During the period from 2010 to 2025, Flowers Foods Accumulated Depreciation quarterly data regression pattern had sample variance of 64710.6 T and median of (1,174,953,000). View All Fundamentals
 
Accumulated Depreciation  
First Reported
2010-12-31
Previous Quarter
-1.4 B
Current Value
-1.5 B
Quarterly Volatility
197.1 M
 
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 112.8 M, Interest Expense of 39 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 0.0355 or PTB Ratio of 2.41. 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' Accumulated Depreciation Growth Pattern

Below is the plot of the Accumulated Depreciation of Flowers Foods over the last few years. Accumulated depreciation is the total amount of depreciation for Flowers Foods fixed asset that has been charged to Flowers Foods expense since that asset was acquired and made available for Flowers Foods use. The accumulated depreciation account is Flowers Foods asset account with a credit balance. It is also known as a contra asset account and appears on the balance sheet as a reduction from the gross amount of fixed assets reported by Flowers Foods. It is Flowers Foods' Accumulated Depreciation 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.
Accumulated Depreciation10 Years Trend
Slightly volatile
   Accumulated Depreciation   
       Timeline  

Flowers Accumulated Depreciation Regression Statistics

Arithmetic Mean(1,143,122,539)
Geometric Mean1,113,426,722
Coefficient Of Variation(22.25)
Mean Deviation212,822,221
Median(1,174,953,000)
Standard Deviation254,382,718
Sample Variance64710.6T
Range767.8M
R-Value(0.95)
Mean Square Error7378.1T
R-Squared0.89
Slope(50,508,165)
Total Sum of Squares970658.5T

Flowers Accumulated Depreciation History

2025-1.4 B
2024-1.3 B
2022-1.4 B
2021-1.4 B
2020-1.3 B
2019-1.3 B
2018-1.2 B

About Flowers Foods Financial Statements

Flowers Foods investors utilize fundamental indicators, such as Accumulated Depreciation, 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
Accumulated Depreciation-1.3 B-1.4 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 Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
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
0.95
Earnings Share
1.17
Revenue Per Share
24.185
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.