Big Lots Earnings per Diluted Share Trend from 2010 to 2022

BIG
 Stock
  

USD 21.74  1.04  5.02%   

Big Lots Earnings per Diluted Share are increasing over the years with slightly volatile fluctuation. Earnings per Diluted Share are expected to dwindle to 3.89. During the period from 2010 to 2022 Big Lots Earnings per Diluted Share anual values regression line had geometric mean of 4.21 and mean square error of  2.34.
  
Check Big Lots financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Big Lots main balance sheet or income statement drivers, such as Direct Expenses of 3.6 B, Consolidated Income of 153.7 M or Cost of Revenue of 3.6 B, as well as many exotic indicators such as Interest Coverage of 59.25, Long Term Debt to Equity of 0.0432 or Calculated Tax Rate of 32.48. Big Lots financial statements analysis is a perfect complement when working with Big Lots Valuation or Volatility modules. It can also supplement Big Lots' financial leverage analysis and stock options assessment as well as various Big Lots Technical models . Continue to the analysis of Big Lots Correlation against competitors.

Big Lots Quarterly Earnings per Diluted Share

(0.39)

Big Lots Earnings per Diluted Share Breakdown

Showing smoothed Earnings per Diluted Share of Big Lots with missing and latest data points interpolated. Earnings per diluted share as calculated and reported by the company. Approximates to the amount of Net Income Common Stock for the period per each [SharesWADil] after adjusting for [ShareFactor]..Big Lots' Earnings per Diluted Share historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Big Lots' overall financial position and show how it may be relating to other accounts over time.
ViewLast Reported 6.43 X10 Years Trend
Increasing
Slightly volatile
   Earnings per Diluted Share   
Share
       Timeline  

Big Lots Earnings per Diluted Share Regression Statistics

Arithmetic Mean 4.63
Geometric Mean 4.21
Coefficient Of Variation 39.45
Mean Deviation 1.63
Median 5.33
Standard Deviation 1.83
Sample Variance 3.33
Range 4.00
R-Value 0.60
Mean Square Error 2.34
R-Squared 0.36
Significance 0.031294
Slope 0.28
Total Sum of Squares 39.98

Big Lots Earnings per Diluted Share History

2014 6.16
2020 5.33
2022 3.89

About Big Lots Financial Statements

There are typically three primary documents that fall into the category of financial statements. These documents include Big Lots income statement, its balance sheet, and the statement of cash flows. Big Lots investors use historical funamental indicators, such as Big Lots's Earnings per Diluted Share, to determine how well the company is positioned to perform in the future. Although Big Lots investors may use each financial statement separately, they are all related. The changes in Big Lots's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on Big Lots'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 Big Lots Financial Statements. Understanding these patterns can help to make the right decision on long term investment in Big Lots. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for 2022
Earnings per Diluted Share 5.33  3.89 
Earnings Before Interest Taxes and Depreciation Amortization EBITDA650.2 M504.3 M
Earnings before Tax231.8 M227 M
Big Lots, Inc., through its subsidiaries, operates as a home discount retailer in the United States. Big Lots, Inc. was founded in 1967 and is headquartered in Columbus, Ohio. Big Lots operates under Discount Stores classification in the United States and is traded on New York Stock Exchange. It employs 35000 people.

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Our tools can tell you how much better you can do entering a position in Big Lots without increasing your portfolio risk or giving up expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate.risk-adjusted returns of your individual positions relative to your overall portfolio.

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Pair Trading with Big Lots

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Big Lots position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Big Lots will appreciate offsetting losses from the drop in the long position's value.

Moving together with Big Lots

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Moving against Big Lots

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The ability to find closely correlated positions to Big Lots could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Big Lots when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Big Lots - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Big Lots to buy it.
The correlation of Big Lots is a statistical measure of how it moves in relation to other equities. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Big Lots moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Big Lots moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Big Lots can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
Continue to the analysis of Big Lots Correlation against competitors. Note that the Big Lots information on this page should be used as a complementary analysis to other Big Lots' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.

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Is Big Lots' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Big Lots. If investors know Big Lots will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Big Lots listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth YOY
-0.37
Market Capitalization
628.7 M
Quarterly Revenue Growth YOY
-0.15
Return On Assets
0.017
Return On Equity
0.0642
The market value of Big Lots is measured differently than its book value, which is the value of Big Lots that is recorded on the company's balance sheet. Investors also form their own opinion of Big Lots' value that differs from its market value or its book value, called intrinsic value, which is Big Lots' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Big Lots' market value can be influenced by many factors that don't directly affect Big Lots' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Big Lots' value and its price as these two are different measures arrived at by different means. Investors typically determine Big Lots value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Big Lots' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.