Big Lots Earnings Estimate
BIG Stock | USD 4.12 0.47 12.88% |
Big |
Big Lots Earnings Estimation Breakdown
The calculation of Big Lots' earning per share is based on the data from the past 12 consecutive months, used for reporting the company's financial figures. The next projected EPS of Big Lots is estimated to be -3.9 with the future projection ranging from a low of -4.38 to a high of -3.29. Please be aware that this consensus of annual earnings estimates for Big Lots is based on EPS before non-recurring items and includes expenses related to employee stock options.Last Reported EPS
-4.38 Lowest | Expected EPS | -3.29 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 Analysts | Historical Accuracy | Last Reported EPS | Estimated EPS for 30th of April 2024 | Current EPS (TTM) | |
16 | 74.01% | -0.28 | -3.9 | -15.91 |
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. 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 comparing them to our different valuation methods.Big Lots Quarterly Gross Profit |
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Sophisticated investors, who have witnessed many market ups and downs, anticipate that 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.
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 Months 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 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 | |||
---|---|---|---|---|---|---|---|
2024-03-07 | 2024-01-31 | -0.23 | -0.28 | -0.05 | 21 | ||
2023-11-30 | 2023-10-31 | -4.66 | -4.38 | 0.28 | 6 | ||
2023-08-29 | 2023-07-31 | -4.12 | -3.24 | 0.88 | 21 | ||
2023-05-26 | 2023-04-30 | -1.82 | -3.4 | -1.58 | 86 | ||
2023-03-02 | 2023-01-31 | -0.85 | -0.28 | 0.57 | 67 | ||
2022-12-01 | 2022-10-31 | -2.94 | -2.99 | -0.05 | 1 | ||
2022-08-30 | 2022-07-31 | -2.47 | -2.28 | 0.19 | 7 | ||
2022-05-27 | 2022-04-30 | 0.95 | -0.39 | -1.34 | 141 | ||
2022-03-03 | 2022-01-31 | 1.89 | 1.75 | -0.14 | 7 | ||
2021-12-03 | 2021-10-31 | -0.16 | -0.14 | 0.02 | 12 | ||
2021-08-27 | 2021-07-31 | 1.12 | 1.09 | -0.03 | 2 | ||
2021-05-28 | 2021-04-30 | 1.69 | 2.62 | 0.93 | 55 | ||
2021-03-05 | 2021-01-31 | 2.5 | 2.59 | 0.09 | 3 | ||
2020-12-04 | 2020-10-31 | 0.66 | 0.76 | 0.1 | 15 | ||
2020-08-28 | 2020-07-31 | 2.7 | 2.75 | 0.05 | 1 | ||
2020-05-29 | 2020-04-30 | 0.4 | 1.26 | 0.86 | 215 | ||
2020-02-27 | 2020-01-31 | 2.52 | 2.39 | -0.13 | 5 | ||
2019-12-06 | 2019-10-31 | -0.2 | -0.18 | 0.02 | 10 | ||
2019-08-30 | 2019-07-31 | 0.4 | 0.53 | 0.13 | 32 | ||
2019-05-31 | 2019-04-30 | 0.7 | 0.92 | 0.22 | 31 | ||
2019-03-08 | 2019-01-31 | 2.3 | 2.68 | 0.38 | 16 | ||
2018-12-07 | 2018-10-31 | -0.01 | -0.16 | -0.15 | 1500 | ||
2018-08-31 | 2018-07-31 | 0.67 | 0.59 | -0.08 | 11 | ||
2018-06-01 | 2018-04-30 | 1.19 | 0.95 | -0.24 | 20 | ||
2018-03-09 | 2018-01-31 | 2.44 | 2.57 | 0.13 | 5 | ||
2017-12-01 | 2017-10-31 | 0.04 | 0.06 | 0.02 | 50 | ||
2017-08-25 | 2017-07-31 | 0.62 | 0.67 | 0.05 | 8 | ||
2017-05-26 | 2017-04-30 | 0.99 | 1.15 | 0.16 | 16 | ||
2017-03-03 | 2017-01-31 | 2.22 | 2.26 | 0.04 | 1 | ||
2016-12-02 | 2016-10-31 | -0.01 | 0.04 | 0.05 | 500 | ||
2016-08-26 | 2016-07-31 | 0.46 | 0.52 | 0.06 | 13 | ||
2016-05-27 | 2016-04-30 | 0.7 | 0.82 | 0.12 | 17 | ||
2016-03-04 | 2016-01-31 | 1.98 | 2.0 | 0.02 | 1 | ||
2015-12-04 | 2015-10-31 | -0.05 | -0.01 | 0.04 | 80 | ||
2015-08-28 | 2015-07-31 | 0.34 | 0.4 | 0.06 | 17 | ||
2015-05-29 | 2015-04-30 | 0.59 | 0.6 | 0.01 | 1 | ||
2015-03-06 | 2015-01-31 | 1.75 | 1.76 | 0.01 | 0 | ||
2014-12-05 | 2014-10-31 | -0.05 | -0.06 | -0.01 | 20 | ||
2014-08-29 | 2014-07-31 | 0.3 | 0.31 | 0.01 | 3 | ||
2014-05-30 | 2014-04-30 | 0.44 | 0.5 | 0.06 | 13 | ||
2014-03-07 | 2014-01-31 | 1.4 | 1.45 | 0.05 | 3 | ||
2013-12-05 | 2013-10-31 | -0.08 | -0.16 | -0.08 | 100 | ||
2013-08-30 | 2013-07-31 | 0.24 | 0.31 | 0.07 | 29 | ||
2013-05-30 | 2013-04-30 | 0.61 | 0.61 | 0.0 | 0 | ||
2013-03-06 | 2013-01-31 | 1.98 | 2.09 | 0.11 | 5 | ||
2012-12-04 | 2012-10-31 | -0.24 | -0.1 | 0.14 | 58 | ||
2012-08-23 | 2012-07-31 | 0.41 | 0.36 | -0.05 | 12 | ||
2012-05-23 | 2012-04-30 | 0.69 | 0.68 | -0.01 | 1 | ||
2012-03-02 | 2012-01-31 | 1.73 | 1.75 | 0.02 | 1 | ||
2011-12-02 | 2011-10-31 | 0.09 | 0.06 | -0.03 | 33 | ||
2011-08-25 | 2011-07-31 | 0.44 | 0.5 | 0.06 | 13 | ||
2011-05-26 | 2011-04-30 | 0.69 | 0.7 | 0.01 | 1 | ||
2011-03-03 | 2011-01-31 | 1.38 | 1.46 | 0.08 | 5 | ||
2010-12-03 | 2010-10-31 | 0.24 | 0.23 | -0.01 | 4 | ||
2010-08-24 | 2010-07-31 | 0.47 | 0.48 | 0.01 | 2 | ||
2010-05-27 | 2010-04-30 | 0.67 | 0.68 | 0.01 | 1 | ||
2010-03-03 | 2010-01-31 | 1.28 | 1.31 | 0.03 | 2 | ||
2009-12-04 | 2009-10-31 | 0.18 | 0.27 | 0.09 | 50 | ||
2009-08-25 | 2009-07-31 | 0.3 | 0.35 | 0.05 | 16 | ||
2009-05-28 | 2009-04-30 | 0.4 | 0.44 | 0.04 | 10 | ||
2009-03-04 | 2009-01-31 | 0.93 | 1.0 | 0.07 | 7 | ||
2008-12-05 | 2008-10-31 | 0.15 | 0.15 | 0.0 | 0 | ||
2008-08-26 | 2008-07-31 | 0.27 | 0.32 | 0.05 | 18 | ||
2008-05-29 | 2008-04-30 | 0.36 | 0.42 | 0.06 | 16 | ||
2008-03-05 | 2008-01-31 | 0.84 | 0.93 | 0.09 | 10 | ||
2007-11-30 | 2007-10-31 | 0.12 | 0.14 | 0.02 | 16 | ||
2007-08-29 | 2007-07-31 | 0.12 | 0.21 | 0.09 | 75 | ||
2007-05-31 | 2007-04-30 | 0.2 | 0.26 | 0.06 | 30 | ||
2007-03-09 | 2007-01-31 | 0.7 | 0.83 | 0.13 | 18 | ||
2006-11-16 | 2006-10-31 | -0.03 | 0.07 | 0.1 | 333 | ||
2006-08-16 | 2006-07-31 | -0.05 | 0.04 | 0.09 | 180 | ||
2006-05-25 | 2006-04-30 | 0.05 | 0.13 | 0.08 | 160 | ||
2006-02-22 | 2006-01-31 | 0.43 | 0.33 | -0.1 | 23 | ||
2005-11-16 | 2005-10-31 | -0.24 | -0.17 | 0.07 | 29 | ||
2005-08-17 | 2005-07-31 | -0.11 | -0.09 | 0.02 | 18 | ||
2005-05-17 | 2005-04-30 | 0.05 | 0.07 | 0.02 | 40 | ||
2005-02-23 | 2005-01-31 | 0.48 | 0.51 | 0.03 | 6 | ||
2004-11-17 | 2004-10-31 | -0.2 | -0.22 | -0.02 | 10 | ||
2004-08-18 | 2004-07-31 | -0.07 | -0.06 | 0.01 | 14 | ||
2004-05-19 | 2004-04-30 | 0.04 | 0.6 | 0.56 | 1400 | ||
2004-02-25 | 2004-01-31 | 0.65 | 0.7 | 0.05 | 7 | ||
2003-11-19 | 2003-10-31 | -0.04 | -0.04 | 0.0 | 0 | ||
2003-08-20 | 2003-07-31 | -0.02 | -0.01 | 0.01 | 50 | ||
2003-05-20 | 2003-04-30 | 0.08 | 0.09 | 0.01 | 12 | ||
2003-02-26 | 2003-01-31 | 0.56 | 0.57 | 0.01 | 1 | ||
2002-11-20 | 2002-10-31 | -0.05 | -0.04 | 0.01 | 20 | ||
2002-08-21 | 2002-07-31 | 0.01 | 0.03 | 0.02 | 200 | ||
2002-05-21 | 2002-04-30 | 0.08 | 0.11 | 0.03 | 37 | ||
2002-02-27 | 2002-01-31 | 0.49 | 0.5 | 0.01 | 2 | ||
2001-11-21 | 2001-10-31 | -0.13 | -0.14 | -0.01 | 7 | ||
2001-08-22 | 2001-07-31 | -0.04 | -0.09 | -0.05 | 125 | ||
2001-02-28 | 2001-01-31 | 0.58 | 0.61 | 0.03 | 5 | ||
2000-11-15 | 2000-10-31 | 0.07 | 0.06 | -0.01 | 14 | ||
2000-08-16 | 2000-07-31 | -0.18 | -0.56 | -0.38 | 211 | ||
2000-05-17 | 2000-04-30 | -0.15 | -0.05 | 0.1 | 66 | ||
2000-02-23 | 2000-01-31 | 1.05 | 1.22 | 0.17 | 16 | ||
1999-11-17 | 1999-10-31 | -0.16 | -0.14 | 0.02 | 12 | ||
1999-08-18 | 1999-07-31 | -0.04 | -0.04 | 0.0 | 0 | ||
1999-05-19 | 1999-04-30 | -0.04 | -0.03 | 0.01 | 25 | ||
1999-02-24 | 1999-01-31 | 1.05 | 1.06 | 0.01 | 0 | ||
1998-11-18 | 1998-10-31 | -0.14 | -0.15 | -0.01 | 7 | ||
1998-08-19 | 1998-07-31 | 0.06 | 0.06 | 0.0 | 0 | ||
1998-05-20 | 1998-04-30 | 0.01 | 0.01 | 0.0 | 0 | ||
1998-03-03 | 1998-01-31 | 1.43 | 1.34 | -0.09 | 6 | ||
1997-11-19 | 1997-10-31 | 0.04 | 0.04 | 0.0 | 0 | ||
1997-08-19 | 1997-07-31 | -0.02 | 0.01 | 0.03 | 150 | ||
1997-05-19 | 1997-04-30 | -0.1 | -0.08 | 0.02 | 20 | ||
1997-02-25 | 1997-01-31 | 1.29 | 1.26 | -0.03 | 2 | ||
1996-11-19 | 1996-10-31 | -0.04 | -0.03 | 0.01 | 25 | ||
1996-08-20 | 1996-07-31 | -0.07 | -0.08 | -0.01 | 14 | ||
1996-05-13 | 1996-04-30 | 0.05 | 0.04 | -0.01 | 20 | ||
1996-02-26 | 1996-01-31 | 0.57 | 0.56 | -0.01 | 1 | ||
1995-11-13 | 1995-10-31 | 0.13 | 0.13 | 0.0 | 0 |
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 Reported | Projected for 2024 | ||
Retained Earnings | 3.7 B | 3.9 B | |
Retained Earnings Total Equity | 3.7 B | 2.5 B | |
Price Earnings Ratio | (0.35) | (0.33) | |
Price Earnings To Growth Ratio | (0) | (0) |
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.
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 Stock
0.87 | BQ | Boqii Holding Limited | PairCorr |
Moving against Big Stock
0.9 | MMYT | MakeMyTrip Limited Fiscal Quarter End 31st of March 2024 | PairCorr |
0.82 | EDUC | Educational Development Report 9th of May 2024 | PairCorr |
0.79 | HD | Home Depot Financial Report 21st of May 2024 | PairCorr |
0.77 | MUSA | Murphy USA Financial Report 7th of May 2024 | PairCorr |
0.62 | DIBS | 1StdibsCom Financial Report 8th of May 2024 | PairCorr |
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 instruments. 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.Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Big Lots. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in gross domestic product. For more detail on how to invest in Big Stock please use our How to Invest in Big Lots guide.You can also try the AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
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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 the 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 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 (0.37) | Earnings Share (15.91) | Revenue Per Share 161.965 | Quarterly Revenue Growth (0.07) | Return On Assets (0.07) |
The market value of Big Lots is measured differently than its book value, which is the value of Big 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 if Big Lots is a good investment 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.