Build Return on Average Equity Trend from 2010 to 2020

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BBW -- USA Stock  

Fiscal Quarter End: 31st of July 2020  

Build A Return on Average Equity yearly trend continues to be fairly stable with very little volatility. Return on Average Equity is likely outpace its year average in 2020. During the period from 2010 to 2020, Build A Return on Average Equity regression line of quarterly data had r-squared of 0.19 and coefficient of variation of (555.85). 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 Return on Average Equity Marginal Breakdown

Showing smoothed Return on Average Equity of Build A Bear with missing and latest data points interpolated. Return on equity measures a corporation's profitability by calculating the amount of Net Income Common Stock returned as a percentage of [EquityAvg].
ViewLast Reported (28.22) %10 Years Trend
Increasing
Slightly volatile
 Return on Average Equity 
      Timeline 

Build Return on Average Equity Regression Statistics

Arithmetic Mean(0.006732)
Coefficient Of Variation(555.85)
Mean Deviation 0.020412
Median 0.003
Standard Deviation 0.03742
Sample Variance 0.0014
Range 0.13
R-Value 0.43
Mean Square Error 0.001263
R-Squared 0.19
Significance 0.18
Slope 0.004898
Total Sum of Squares 0.014003

Build Return on Average Equity Over Time

2010  0.001 
2011 (0.12) 
2012  0.003 
2016  0.014 
2020  0.008947 

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 Return on Average Equity, 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 1 800 FLOWERS. 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
Run Pair Correlation  
Continue to the analysis of Build A Correlation with competitors. Please also try Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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