Spectrum Enterprise Value Trend from 2010 to 2020

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SPB -- USA Stock  

Report: 31st of July 2020  

Spectrum Brands Enterprise Value is increasing over the years with slightly volatile fluctuation. Ongoing Enterprise Value is projected to grow to about 11.6 B this year. From 2010 to 2020 Spectrum Brands Enterprise Value quarterly data regression line had arithmetic mean of 9,203,270,965 and slope of  878,092,795. Spectrum Brands Consolidated Income is projected to increase significantly based on the last few years of reporting. The past year's Consolidated Income was at 321.84 Million. The current year Interest Expense is expected to grow to about 225.3 M, whereas Direct Expenses is forecasted to decline to about 2.6 B.

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Check Spectrum Brands 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 2.6 B, Consolidated Income of 347.2 M or Cost of Revenue of 2.5 B, as well as many exotic indicators such as Interest Coverage of 1.97, Long Term Debt to Equity of 1.91 or Calculated Tax Rate of 16.27. This can be a perfect complement to check Spectrum Brands Valuation or Volatility. It can also complement various Spectrum Brands Technical models. Additionally, take a look at the analysis of Spectrum Brands Correlation with competitors.

  Spectrum Brands Quarterly Enterprise Value

Spectrum Enterprise Value Marginal Breakdown

Showing smoothed Enterprise Value of Spectrum Brands Holdings with missing and latest data points interpolated. Enterprise Value (or EV) is usually referred to as Spectrum Brands theoretical takeover price. In the event of an acquisition, an acquirer would have to take on Spectrum Brands Hold debt, but would also pocket its cash. Enterprise Value is more accurate representation of Spectrum Brands value than its market capitalization because it takes into account all of Spectrum Brands Holdings existing debt. Enterprise value is a measure of the value of a business as a whole; calculated as Market Capitalization plus Total Debt USD minus Cash and Equivalents USD.
ViewLast Reported 4.62 B10 Years Trend
Increasing
Slightly volatile
 Enterprise Value 
      Timeline 

Spectrum Enterprise Value Regression Statistics

Arithmetic Mean 9,203,270,965
Geometric Mean 8,418,702,590
Coefficient Of Variation 36.59
Mean Deviation 2,790,950,313
Median 10,744,127,932
Standard Deviation 3,367,062,725
Range 8,886,118,746
R-Value 0.86
R-Squared 0.75
Significance 0.00058698
Slope 878,092,795

Spectrum Enterprise Value Over Time

20103.1 B
20113.8 B
20126.6 B
2013B
20149.7 B
201511.9 B
201910.7 B
202011.6 B

Other Fundumenentals of Spectrum Brands Hold

About Spectrum Brands Financial Statement Charts

There are typically three primary documents that fall into the category of financial statements. These documents include Spectrum Brands income statement, its balance sheet, and the statement of cash flows. Spectrum Brands investors use historical funamental indicators, such as Spectrum Brands's Enterprise Value, to determine how well the company is positioned to perform in the future. Although Spectrum Brands investors may use each financial statement separately, they are all related. The changes in Spectrum Brands's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on Spectrum Brands'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 Spectrum Brands Financial Statements. Understanding these patterns can help to make the right decision on long term investment in Spectrum Brands. Please read more on our technical analysis and fundamental analysis pages.
 2015 2016 2019 2020 (projected)
Receivables538.2 M569.5 M512.55 M476.64 M
Inventories740.6 M775.5 M697.95 M629.02 M

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Additionally, take a look at the analysis of Spectrum Brands Correlation with competitors. Please also try Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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