Build Enterprise Value over EBIT Trend from 2010 to 2020

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BBW -- USA Stock  

Fiscal Quarter End: 31st of July 2020  

Build A Enterprise Value over EBIT yearly trend continues to be fairly stable with very little volatility. Enterprise Value over EBIT will likely drop to 93.68 in 2020. During the period from 2010 to 2020, Build A Enterprise Value over EBIT regression line of quarterly data had mean square error of 4,433 and geometric mean of  97.52. Build A Revenues is fairly stable at the moment as compared to the past year. Build A reported Revenues of 338.54 Million in 2019. Selling General and Administrative Expense is likely to grow to about 162.7 M in 2020, whereas Interest Expense is likely to drop slightly above 10.5 K in 2020.

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Check Build A financial statements over time to gain insight into the future company performance. Apply historical fundamental analysis to find patterns among financial statement drivers such as Direct Expenses of 201.6 M, Consolidated Income of 862.1 K or Cost of Revenue of 201.6 M, as well as many exotic indicators such as Interest Coverage of 615, Calculated Tax Rate of 82.81 or PPandE Turnover of 5.4. This can be a perfect complement to check Build A Valuation or Volatility. It can also complement various Build A Technical models. Continue to the analysis of Build A Correlation with competitors.

  Build A Quarterly Enterprise Value over EBIT

Build Enterprise Value over EBIT Marginal Breakdown

Showing smoothed Enterprise Value over EBIT of Build A Bear with missing and latest data points interpolated. Measures the ratio between [EV] and [EBITUSD].
Enterprise Value over EBIT10 Years Trend
Increasing
Slightly volatile
 Enterprise Value over EBIT 
      Timeline 

Build Enterprise Value over EBIT Regression Statistics

Arithmetic Mean 92.24
Geometric Mean 97.52
Coefficient Of Variation 81.19
Mean Deviation 59.77
Median 139.00
Standard Deviation 74.89
Sample Variance 5,609
Range 185.00
R-Value 0.54
Mean Square Error 4,433
R-Squared 0.29
Significance 0.09
Slope 12.13
Total Sum of Squares 56,087

Build Enterprise Value over EBIT Over Time

2010 (46.00) 
2011 (45.00) 
2012  139.00 
2016  39.00 
2020  93.68 

Other Fundumenentals of Build A Bear

About Build A Financial Statement Charts

There are typically three primary documents that fall into the category of financial statements. These documents include Build A income statement, its balance sheet, and the statement of cash flows. Build A investors use historical funamental indicators, such as Build A's Enterprise Value over EBIT, to determine how well the company is positioned to perform in the future. Although Build A investors may use each financial statement separately, they are all related. The changes in Build A's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on Build A's income statement, which results in the company's gains or losses. Cash flows can provide more information regarding cash listed on a balance sheet, but not equivalent to net income shown on the income statement. We offer a historical overview of the basic patterns found on Build A Financial Statements. Understanding these patterns can help to make the right decision on long term investment in Build A. Please read more on our technical analysis and fundamental analysis pages.
 2011 2012 2016 2020 (projected)
Receivables7.88 M11.53 M12.94 M12.88 M
Inventories51.86 M53.38 M51.88 M55.4 M

Current Sentiment - BBW

Build A Bear Investor Sentiment

Greater number of Macroaxis users are currently bullish on Build A Bear. What is your opinion about investing in Build A Bear? Are you bullish or bearish?
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98% Bullish
2% Bearish
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Build A Pair Correlation

Equities Pair Trading Analysis

Correlation analysis and pair trading evaluation for Build A and Envela Corp. Pair trading can be used as a hedging technique within a particular sector or industry or even over random equities to generate better risk-adjusted return
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Continue to the analysis of Build A Correlation with competitors. Please also try Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.
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