Build Cost Of Revenue from 2010 to 2025

BBW Stock  USD 38.39  0.45  1.16%   
Build A Cost Of Revenue yearly trend continues to be fairly stable with very little volatility. Cost Of Revenue will likely drop to about 209.1 M in 2025. During the period from 2010 to 2025, Build A Cost Of Revenue regression line of quarterly data had mean square error of 2283.1 T and geometric mean of  181,631,709. View All Fundamentals
 
Cost Of Revenue  
First Reported
2002-01-31
Previous Quarter
54.8 M
Current Value
65.3 M
Quarterly Volatility
12.8 M
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Build A financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Build A's main balance sheet or income statement drivers, such as Depreciation And Amortization of 13.9 M, Interest Expense of 818 K or Selling General Administrative of 158.1 M, as well as many indicators such as Price To Sales Ratio of 0.58, Ptb Ratio of 1.3 or Capex To Depreciation of 1.22. Build financial statements analysis is a perfect complement when working with Build A Valuation or Volatility modules.
  
Check out the analysis of Build A Correlation against competitors.

Latest Build A's Cost Of Revenue Growth Pattern

Below is the plot of the Cost Of Revenue of Build A Bear Workshop over the last few years. Cost of Revenue is found on Build A Bear income statement and represents the costs associated with goods and services Build A 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 Build A's Cost Of Revenue historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Build A's 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  

Build Cost Of Revenue Regression Statistics

Arithmetic Mean195,166,773
Geometric Mean181,631,709
Coefficient Of Variation24.85
Mean Deviation27,673,358
Median209,096,369
Standard Deviation48,498,452
Sample Variance2352.1T
Range205.2M
R-Value0.31
Mean Square Error2283.1T
R-Squared0.09
Significance0.25
Slope3,124,035
Total Sum of Squares35281.5T

Build Cost Of Revenue History

2025209.1 M
2024223.9 M
2023221.7 M
2022222.1 M
2021193.6 M
2020158 M
2019184.9 M

About Build A Financial Statements

Build A investors use historical fundamental indicators, such as Build A's 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 Build A. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for Next Year
Cost Of Revenue223.9 M209.1 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 Build Stock Analysis

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