FAT Cost Of Revenue from 2010 to 2024

FATBW Stock  USD 3.18  0.18  6.00%   
FAT Brands Cost Of Revenue yearly trend continues to be fairly stable with very little volatility. Cost Of Revenue is likely to outpace its year average in 2024. During the period from 2010 to 2024, FAT Brands Cost Of Revenue regression line of quarterly data had mean square error of 6482.5 T and geometric mean of  11,648,301. View All Fundamentals
 
Cost Of Revenue  
First Reported
2018-03-31
Previous Quarter
110.4 M
Current Value
106.8 M
Quarterly Volatility
42.7 M
 
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 123.4 M, Selling General Administrative of 115 M or Total Revenue of 504.5 M, as well as many indicators such as Price To Sales Ratio of 0.23, Dividend Yield of 0.15 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   
       Timeline  

FAT Cost Of Revenue Regression Statistics

Arithmetic Mean64,358,290
Geometric Mean11,648,301
Coefficient Of Variation176.77
Mean Deviation87,077,664
Median5,884,000
Standard Deviation113,767,631
Sample Variance12943.1T
Range296.8M
R-Value0.73
Mean Square Error6482.5T
R-Squared0.53
Significance0
Slope18,605,884
Total Sum of Squares181203T

FAT Cost Of Revenue History

2024297 M
2023282.9 M
2022266.2 M
202162.2 M
20203.8 M
2019219 K

About FAT Brands Financial Statements

FAT Brands investors use historical fundamental indicators, such as FAT Brands' Cost Of Revenue, to determine how well the company is positioned to perform in the future. Understanding over-time patterns can help investors decide on long-term investments in FAT Brands. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for Next Year
Cost Of Revenue282.9 M297 M

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

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.