FAT Cost Of Revenue from 2010 to 2025

FAT Stock  USD 3.15  0.07  2.17%   
FAT Brands Cost Of Revenue yearly trend continues to be comparatively stable with very little volatility. Cost Of Revenue is likely to outpace its year average in 2025. From the period from 2010 to 2025, FAT Brands Cost Of Revenue quarterly data regression had r-value of  0.58 and coefficient of variation of  273.09. View All Fundamentals
 
Cost Of Revenue  
First Reported
2015-12-31
Previous Quarter
106.8 M
Current Value
109 M
Quarterly Volatility
41.5 M
 
Yuan Drop
 
Covid
Check FAT Brands financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among FAT Brands' main balance sheet or income statement drivers, such as Interest Expense of 145.2 M, Selling General Administrative of 135 B or Total Revenue of 622.3 B, as well as many indicators such as Price To Sales Ratio of 0.13, Dividend Yield of 0.28 or Days Sales Outstanding of 17.55. FAT financial statements analysis is a perfect complement when working with FAT Brands Valuation or Volatility modules.
  
Check out the analysis of FAT Brands Correlation against competitors.
For more information on how to buy FAT Stock please use our How to Invest in FAT Brands guide.

Latest FAT Brands' Cost Of Revenue Growth Pattern

Below is the plot of the Cost Of Revenue of FAT Brands over the last few years. Cost of Revenue is found on FAT Brands income statement and represents the costs associated with goods and services FAT Brands provides. Indirect cost, such as salaries, is not included. In other words, cost of revenue is the total cost incurred to obtain a sale. It is more than the traditional cost of goods sold, since it includes specific selling and marketing activities. It is FAT Brands' Cost Of Revenue historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in FAT Brands' overall financial position and show how it may be relating to other accounts over time.
Cost Of Revenue10 Years Trend
Slightly volatile
   Cost Of Revenue   
219.3.8M62.2266.282.393.412.1647%1526%328%6%138871%5%100%
       Timeline  

FAT Cost Of Revenue Regression Statistics

Arithmetic Mean50,410,495,438
Geometric Mean27,066,393
Coefficient Of Variation273.09
Mean Deviation88,137,194,891
Median3,827,000
Standard Deviation137,667,766,917
Sample Variance18952414048T
Range412.8B
R-Value0.58
Mean Square Error13589929694T
R-Squared0.33
Significance0.02
Slope16,629,809,787
Total Sum of Squares284286210720.3T

FAT Cost Of Revenue History

2025412.8 B
2024393.1 B
2023282.9 M
2022266.2 M
202162.2 M
20203.8 M
2019219 K

About FAT Brands Financial Statements

FAT Brands shareholders use historical fundamental indicators, such as Cost Of Revenue, to determine how well the company is positioned to perform in the future. Although FAT Brands investors may analyze each financial statement separately, they are all interrelated. The changes in FAT Brands' assets and liabilities, for example, are also reflected in the revenues and expenses on on FAT Brands' 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
Cost Of Revenue393.1 B412.8 B

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Additional Tools for FAT Stock Analysis

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