Big Lots Stock Beneish M Score

BIG Stock  USD 3.47  0.06  1.76%   
This module uses fundamental data of Big Lots to approximate the value of its Beneish M Score. Big Lots M Score tells investors if the company management is likely to be manipulating earnings. The score is calculated using eight financial indicators that are adjusted by a specific multiplier. Please note, the M Score is a probabilistic model and cannot detect companies that manipulate their earnings with 100% accuracy. Check out Big Lots Piotroski F Score and Big Lots Altman Z Score analysis.
For more detail on how to invest in Big Stock please use our How to Invest in Big Lots guide.
  
At this time, Big Lots' Short Term Debt is most likely to increase significantly in the upcoming years. The Big Lots' current Long Term Debt is estimated to increase to about 426.6 M, while Debt To Equity is projected to decrease to 0.08. At this time, Big Lots' Days Sales Outstanding is most likely to slightly decrease in the upcoming years. The Big Lots' current Book Value Per Share is estimated to increase to 14.37, while Capex To Depreciation is projected to decrease to (0.88).
At this time, it appears that Big Lots is an unlikely manipulator. The earnings manipulation may begin if Big Lots' top management creates an artificial sense of financial success, forcing the stock price to be traded at a high price-earnings multiple than it should be. In general, excessive earnings management by Big Lots executives may lead to removing some of the operating profits from subsequent periods to inflate earnings in the following periods. This way, the manipulation of Big Lots' earnings can lead to misrepresentations of actual financial condition, taking the otherwise loyal stakeholders on to the path of questionable ethical practices and plain fraud.
-3.46
Beneish M Score - Unlikely Manipulator
Elasticity of Receivables

1.1

Focus
Asset Quality

-0.52

Focus
Expense Coverage

0.65

Focus
Gross Margin Strengs

1.19

Focus
Accruals Factor

0.65

Focus
Depreciation Resistance

1.52

Focus
Net Sales Growth

0.87

Focus
Financial Leverage Condition

1.77

Focus

Big Lots Beneish M-Score Indicator Trends

The cure to earnings manipulation is the transparency of financial reporting. It will typically remove the temptation of the top executives to inflate earnings (i.e., to promote the idea of 'winning at any cost'). Because a healthy internal audit department can enhance transparency, the board should promote the auditors' access to all the record-keeping systems across the enterprise. For example, if Big Lots' auditors report directly to the board (not management), the managers will be reluctant to manipulate simply due to the fear of punishment. On the other hand, the auditors will be free to investigate the ledgers properly because they know that the board has their back.
Current ValueLast YearChange From Last Year 10 Year Trend
Net Receivables0.860.9
Sufficiently Down
Slightly volatile
Total Revenue4.1 B4.7 B
Fairly Down
Slightly volatile
Total Assets1.8 B3.3 B
Way Down
Slightly volatile
Total Current Assets970.1 M1.1 B
Moderately Down
Slightly volatile
Non Current Assets Total2.4 B2.2 B
Sufficiently Up
Slightly volatile
Property Plant Equipment812.4 M794.8 M
Fairly Up
Slightly volatile
Depreciation And Amortization88 M139.2 M
Way Down
Slightly volatile
Selling General Administrative1.2 B2.1 B
Way Down
Slightly volatile
Total Current Liabilities517 M831 M
Way Down
Slightly volatile
Non Current Liabilities Total2.3 B2.2 B
Sufficiently Up
Slightly volatile
Net Debt2.3 B2.2 B
Sufficiently Up
Slightly volatile
Long Term Debt426.6 M406.3 M
Sufficiently Up
Slightly volatile
Gross Profit Margin0.390.3283
Fairly Up
Slightly volatile

Big Lots Beneish M-Score Driver Matrix

One of the toughest challenges investors face today is learning how to quickly synthesize historical financial statements and information provided by the company, SEC reporting, and various external parties in order to detect the potential manipulation of earnings. Understanding the correlation between Big Lots' different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Big Lots in a much-optimized way. Analyzing correlations between earnings drivers directly associated with dollar figures is the most effective way to find Big Lots' degree of accounting gimmicks and manipulations.

About Big Lots Beneish M Score

M-Score is one of many grading techniques for value stocks. It was developed by Professor M. Daniel Beneish of the Kelley School of Business at Indiana University and published in 1999 under the paper titled The Detection of Earnings Manipulation. The Beneish score is a multi-factor model that utilizes financial identifiers to compile eight variables used to classify whether a company has manipulated its reported earnings. The variables are built from the officially filed financial statements to create a final score call 'M Score.' The score helps to identify companies that are likely to manipulate their profits if they show deteriorating gross margins, operating expenses, and leverage against growing revenue.

Other Operating Expenses

3.93 Billion

At this time, Big Lots' Other Operating Expenses is most likely to increase significantly in the upcoming years.

Big Lots Earnings Manipulation Drivers

Although earnings manipulation is typically not the result of intentional misconduct by the c-level executives, it is still a widespread practice by the senior management of public companies such as Big Lots. It is usually done by a series of misrepresentations of various accounting rules and operating activities across multiple financial cycles. The best way to spot the manipulation is to examine the historical financial statement to find inconsistencies in earning reports to find trends in assets or liabilities that are not sustainable in the future.
201920202021202220232024 (projected)
Total Revenue5.3B6.2B6.2B5.5B4.7B4.1B
Total Assets3.2B4.0B3.9B3.7B3.3B1.8B
Total Current Assets1.1B1.6B1.4B1.3B1.1B970.1M
Net Debt1.5B1.2B1.8B2.0B2.2B2.3B
Short Term Debt212.1M226.1M242.3M252.3M249.3M261.8M
Long Term Debt279.5M35.8M3.5M301.4M406.3M426.6M
Operating Income155.8M392.6M239.8M(261.5M)(374.1M)(355.4M)
Investments(74.5M)453.0M(159.7M)(108.9M)279.5M293.5M

About Big Lots Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Big Lots's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Big Lots using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Big Lots based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
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.

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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 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.
Pair CorrelationCorrelation Matching
When determining whether Big Lots is a strong investment it is important to analyze Big Lots' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Big Lots' future performance. For an informed investment choice regarding Big Stock, refer to the following important reports:
Check out Big Lots Piotroski F Score and Big Lots Altman Z Score analysis.
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.

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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
(16.53)
Revenue Per Share
161.965
Quarterly Revenue Growth
(0.07)
Return On Assets
(0.06)
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.