Big Lots Earnings Estimate

BIG
 Stock
  

USD 20.42  0.55  2.62%   

Many public companies, such as Big Lots, manage the perception of their earnings on a regular basis to make sure that analyst estimates are accurate. Future earnings calculations are also an essential input when attempting to value a firm. By analyzing Big Lots' earnings estimates, investors can diagnose different trends across Big Lots' analyst sentiment over time as well as compare current estimates against different timeframes.
Big Lots is projected to generate 5.61 in earnings per share on the 31st of December 2022. Big Lots earnings estimates module stress-tests analyst consensus about projected Big Lots EPS (Earning Per Share) to derive its highest and lowest estimates based on its historical volatility. Continue to Trending Equities.
  
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As of July 3, 2022, Gross Profit is expected to decline to about 2.3 B. In addition to that, Profit Margin is expected to decline to 0.0268
Share

Big Lots Earnings Estimation Breakdown

Calculation of earning per share of Big Lots is based on official Zacks consensus of 5 analysts regarding Big Lots future annual earnings. Given the historical accuracy of 89.62%, the future earnings per share of Big Lots is estimated to be 5.61 with the lowest and highest values of 5.41 and 5.94, respectively. Please note that this consensus of annual earnings estimates for Big Lots is an estimate of EPS before non-recurring items and including employee stock options expenses
  Current EPS 6.43
5.41
Lowest
Expected EPS 5.61
5.94
Highest

Big Lots Earnings Projection Consensus

Suppose the current estimates of Big Lots' value are higher than the current market price of the Big Lots stock. In this case, investors may conclude that Big Lots is overpriced and will exhibit bullish sentiment. On the other hand, if the present value is lower than the stock price, analysts may conclude that the market undervalues the equity. These scenarios may suggest that the market is not as efficient as it should be at the estimation time, and Big Lots' stock will quickly adjusts to the new information provided by the consensus estimate.
Number of AnalystsHistorical AccuracyCurrent EPSEPS Estimate for 31st of December 2022

5

89.62%

6.43

5.61

Big Lots Earnings History

Earnings estimate consensus by Big Lots analysts from Wall Street is used by the market to judge Big Lots' stock performance. The investors also use these earnings estimates to evaluate and project the stock performance into the future in order to make their investment decisions. However, we recommend analyzing not only Big Lots' upcoming profit reports and earnings-per-share forecasts but also compare them to our different valuation methods.

Big Lots Quarterly Earnings Before Interest Taxes and Depreciation Amortization EBITDA

93.6 Million

Share
The current year Price to Earnings Ratio is expected to grow to 15.48, whereas Accumulated Retained Earnings Deficit are forecasted to decline to about 2.9 B. Big Lots Weighted Average Shares Diluted is projected to decrease significantly based on the last few years of reporting. The past year's Weighted Average Shares Diluted was at 33.35 Million.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Big Lots' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy. Please use the tools below to analyze the current value of Big Lots in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
16.2420.8225.40
Details
Intrinsic
Valuation
LowReal ValueHigh
18.3826.6131.19
Details
Naive
Forecast
LowNext ValueHigh
17.0121.5926.18
Details
8 Analysts
Consensus
LowTarget PriceHigh
37.0046.0054.00
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Big Lots. Your research has to be compared to or analyzed against Big Lots' peers to derive any actionable benefits. When done correctly, Big Lots' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Big Lots.
Note that many institutional investors and large investment bankers can move markets due to the volume of Big Lots assets they manage. They also follow analysts to some degree and often drive overall investor sentiments towards Big Lots. With so many stockholders watching consensus numbers, the difference between actual and projected earnings is one of the most critical factors driving Big Lots stock price in the short term.

Big Lots Earnings per Share Projection vs Actual

Actual Earning per Share of Big Lots refers to what the company shows during its earnings calls or quarterly reports. The Expected EPS is what analysts covering Big Lots predict the company's earnings will be in the future. The higher the earnings per share of Big Lots, the better is its profitability. While calculating the Earning per Share, we use the weighted ratio, as the number of shares outstanding can change over time.

Big Lots Estimated Earnings per Share

For an investor who is primarily interested in generating an income out of investing in entities such as Big Lots, the EPS ratio can tell if the company is intending to increase its current dividend. Although EPS is an essential tool for investors, it should not be used in isolation. EPS of Big Lots should always be considered in relation to other companies to make a more educated investment decision.

Big Lots Quarterly Analyst Estimates and Surprise Metrics

Earnings surprises can significantly impact Big Lots' stock price both in the short term and over time. Negative earnings surprises usually result in a price decline. However, it has been seen that positive earnings surprises lead to an immediate rise in a stock's price and a gradual increase over time. This is why we often hear news about some companies beating earning projections. Financial analysts spend a large amount of time predicting earnings per share (EPS) along with other important future indicators. Many analysts use forecasting models, management guidance, and additional fundamental information to derive an EPS estimate.
Reported
Fiscal Date
Estimated EPS
Reported EPS
Surprise
2022-05-27
2022-04-300.93-0.39-1.32141 
2022-03-03
2022-01-311.891.75-0.14
2021-12-03
2021-10-31-0.1552-0.140.0152
2021-08-27
2021-07-311.11971.09-0.0297
2021-05-28
2021-04-301.72522.620.894851 
2021-03-05
2021-01-312.49682.590.0932
2020-12-04
2020-10-310.66280.760.097214 
2020-08-28
2020-07-312.70142.750.0486
2020-05-29
2020-04-300.39931.260.8607215 
2020-02-27
2020-01-312.51932.39-0.1293
2019-12-06
2019-10-31-0.1994-0.180.0194
2019-08-30
2019-07-310.40020.530.129832 
2019-05-31
2019-04-300.6980.920.22231 
2019-03-08
2019-01-312.29632.680.383716 
2018-12-07
2018-10-31-0.0033-0.16-0.15674748 
2018-08-31
2018-07-310.67070.59-0.080712 
2018-06-01
2018-04-301.18320.95-0.233219 
2018-03-09
2018-01-312.43232.570.1377
2017-12-01
2017-10-310.04190.060.018143 
2017-08-25
2017-07-310.6150.670.055
2017-05-26
2017-04-300.98481.150.165216 
2017-03-03
2017-01-312.22182.260.0382
2016-12-02
2016-10-31-0.01390.040.0539387 
2016-08-26
2016-07-310.45680.520.063213 
2016-05-27
2016-04-300.70180.820.118216 
2016-03-04
2016-01-311.983220.0168
2015-12-04
2015-10-31None-0.01None
2015-08-28
2015-07-310.340.40.0617 
2015-05-29
2015-04-300.590.60.01
2015-03-06
2015-01-311.751.760.01
2014-12-05
2014-10-31-0.05-0.06-0.0120 
2014-08-29
2014-07-310.30.310.01
2014-05-30
2014-04-300.440.50.0613 
2014-03-07
2014-01-311.41.450.05
2013-12-05
2013-10-31-0.08-0.16-0.08100 
2013-08-30
2013-07-310.240.310.0729 
2013-05-30
2013-04-300.610.610
2013-03-06
2013-01-311.982.090.11
2012-12-04
2012-10-31-0.24-0.10.1458 
2012-08-23
2012-07-310.410.36-0.0512 
2012-05-23
2012-04-300.690.68-0.01
2012-03-02
2012-01-311.731.750.02
2011-12-02
2011-10-310.090.06-0.0333 
2011-08-25
2011-07-310.440.50.0613 
2011-05-26
2011-04-300.690.70.01
2011-03-03
2011-01-311.381.460.08
2010-12-03
2010-10-310.240.23-0.01
2010-08-24
2010-07-310.470.480.01
2010-05-27
2010-04-300.670.680.01
2010-03-03
2010-01-311.281.310.03
2009-12-04
2009-10-310.180.270.0950 
2009-08-25
2009-07-310.30.350.0516 
2009-05-28
2009-04-300.40.440.0410 
2009-03-04
2009-01-310.9310.07
2008-12-05
2008-10-310.150.150
2008-08-26
2008-07-310.270.320.0518 
2008-05-29
2008-04-300.360.420.0616 
2008-03-05
2008-01-310.840.930.0910 
2007-11-30
2007-10-310.120.140.0216 
2007-08-29
2007-07-310.120.210.0975 
2007-05-31
2007-04-300.20.260.0630 
2007-03-09
2007-01-310.70.830.1318 
2006-11-16
2006-10-31-0.030.070.1333 
2006-08-16
2006-07-31-0.050.040.09180 
2006-05-25
2006-04-300.050.130.08160 
2006-02-22
2006-01-310.430.33-0.123 
2005-11-16
2005-10-31-0.24-0.170.0729 
2005-08-17
2005-07-31-0.11-0.090.0218 
2005-05-17
2005-04-300.050.070.0240 
2005-02-23
2005-01-310.480.510.03
2004-11-17
2004-10-31-0.2-0.22-0.0210 
2004-08-18
2004-07-31-0.07-0.060.0114 
2004-05-19
2004-04-300.040.60.561400 
2004-02-25
2004-01-310.650.70.05
2003-11-19
2003-10-31-0.04-0.040
2003-08-20
2003-07-31-0.02-0.010.0150 
2003-05-20
2003-04-300.080.090.0112 
2003-02-26
2003-01-310.560.570.01
2002-11-20
2002-10-31-0.05-0.040.0120 
2002-08-21
2002-07-310.010.030.02200 
2002-05-21
2002-04-300.080.110.0337 
2002-02-27
2002-01-310.490.50.01
2001-11-21
2001-10-31-0.13-0.14-0.01
2001-08-22
2001-07-31-0.04-0.09-0.05125 
2001-05-23
2001-04-30None0.0026None
2001-02-28
2001-01-310.580.610.03
2000-11-15
2000-10-310.070.06-0.0114 
2000-08-16
2000-07-31-0.18-0.56-0.38211 
2000-05-17
2000-04-30-0.15-0.050.166 
2000-02-23
2000-01-311.051.220.1716 
1999-11-17
1999-10-31-0.16-0.140.0212 
1999-08-18
1999-07-31-0.04-0.040
1999-05-19
1999-04-30-0.04-0.030.0125 
1999-02-24
1999-01-311.051.060.01
1998-11-18
1998-10-31-0.14-0.15-0.01
1998-08-19
1998-07-310.060.060
1998-05-20
1998-04-300.010.010
1998-03-03
1998-01-311.431.34-0.09
1997-11-19
1997-10-310.040.040
1997-08-19
1997-07-31-0.020.010.03150 
1997-05-19
1997-04-30-0.1-0.080.0220 
1997-02-25
1997-01-311.291.26-0.03
1996-11-19
1996-10-31-0.04-0.030.0125 
1996-08-20
1996-07-31-0.07-0.08-0.0114 
1996-05-13
1996-04-300.050.04-0.0120 
1996-02-26
1996-01-310.570.56-0.01

About Big Lots Earnings Estimate

The earnings estimate module is a useful tool to check what professional financial analysts are assuming about the future of Big Lots earnings. We show available consensus EPS estimates for the upcoming years and quarters. Investors can also examine how these consensus opinions have evolved historically. We show current Big Lots estimates, future projections, as well as estimates 1, 2, and three years ago. Investors can search for a specific entity to conduct investment planning and build diversified portfolios. Please note, earnings estimates provided by Macroaxis are the average expectations of expert analysts that we track. If a given stock such as Big Lots fails to match professional earnings estimates, it usually performs purely. Wall Street refers to that as a 'negative surprise.' If a company 'beats' future estimates, it's usually called an 'upside surprise.'
Please read more on our stock advisor page.
Last ReportedProjected for 2022
Accumulated Retained Earnings Deficit3.5 B2.9 B
Earning Before Interest and Taxes EBIT241.1 M233.3 M
Earnings per Basic Share 5.43  3.95 
Earnings per Diluted Share 5.33  3.89 
Price to Earnings Ratio 7.34  15.48 
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. The company offers products under various merchandising categories, such as furniture category that includes upholstery, mattresses, case goods, and ready-to-assemble departments seasonal category, which comprises patio furniture, gazebos, Christmas trim, and other holiday departments soft home category that consists of fashion and utility bedding, bath, window, decorative textile, home organization, area rugs, home dcor, and frames departments and food category that includes beverage and grocery, candy and snacks, specialty foods, and pet departments. It also provides merchandise under the consumables category, which comprises health, beauty and cosmetics, plastics, paper, and chemical departments hard home category, including small appliances, tabletops, and food preparation and stationery products home maintenance and organization products toys and accessories category consisting of apparel, electronics, jewelry, apparel, and hosiery departments. As of January 29, 2022, it operated 1,431 stores in 47 states and an e-commerce platform. Big Lots, Inc. was founded in 1967 and is headquartered in Columbus, Ohio.

Big Lots Investors Sentiment

The influence of Big Lots' investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Big Lots. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock markets does not have a solid backing from leading economists and market statisticians.

Big Lots Implied Volatility

    
  68.9  
Big Lots' implied volatility exposes the market's sentiment of Big Lots stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Big Lots' implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Big Lots stock will not fluctuate a lot when Big Lots' options are near their expiration.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Big Lots in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Big Lots' short interest history, or implied volatility extrapolated from Big Lots options trading.

Current Sentiment - BIG

Big Lots Investor Sentiment

Greater number of Macroaxis users are currently bullish on Big Lots. What is your opinion about investing in Big Lots? Are you bullish or bearish?
Bullish
Bearish
98% Bullish
2% Bearish

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.

Big Lots Pair Correlation

Correlation Analysis For Direct Indexing and Tax-loss Harvesting

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 Trending Equities. 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 Equity Valuation module to check real value of public entities based on technical and fundamental data.

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When running Big Lots price analysis, check to measure Big Lots' 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 Big Lots is operating at the current time. Most of Big Lots' value examination focuses on studying past and present price action to predict the probability of Big Lots' future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Big Lots' price. Additionally, you may evaluate how the addition of Big Lots to your portfolios can decrease your overall portfolio volatility.
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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
590.5 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.