Big Lots Z Score

BIG
 Stock
  

USD 22.45  0.61  2.79%   

Altman Z Score is one of the simplest fundamental models to determine how likely your company is to fail. The module uses available fundamental data of a given equity to approximate the Altman Z score. Altman Z Score is determined by evaluating five fundamental price points available from the company's current public disclosure documents. Continue to Big Lots Piotroski F Score and Big Lots Valuation analysis.
  
Big Lots Market Capitalization is projected to decrease significantly based on the last few years of reporting. The past year's Market Capitalization was at 1.22 Billion. The current year Working Capital is expected to grow to about 367.3 M, whereas Invested Capital is forecasted to decline to about 3 B.

Big Lots Z Score Analysis

Big Lots' Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..
 2010 2014 2020 2022 (projected)
Consolidated Income125.3 M242.46 M177.78 M153.71 M
Direct Expenses3.24 B3.21 B3.75 B3.62 B
Z Score 
 = 
Sum Of  
 
5 Factors 
More About Z Score | All Equity Analysis

Current Big Lots Z Score

    
  4.4  
Most of Big Lots' fundamental indicators, such as Z Score, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Big Lots is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
First Factor
 = 
1.2 * (
Working Capital
/
Total Assets )
Second Factor
 = 
1.4 * (
Retained Earnings
/
Total Assets )
Thrid Factor
 = 
3.3 * (
EBITAD
/
Total Assets )
Fouth Factor
 = 
0.6 * (
Market Value of Equity
/
Total Liabilities )
Fifth Factor
 = 
0.99 * (
Revenue
/
Total Assets )

Big Lots Z Score Driver Correlations

Understanding the fundamental principles of building solid financial models for Big Lots is extremely important. It helps to project a fair market value of Ford stock properly, considering its historical fundamentals such as Z Score. Since Big Lots' main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of Big Lots' historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of Big Lots' interrelated accounts and indicators.
To calculate Z-Score one would need to know current working capital of the company, its total assets, and liabilities, amount of latest retained earnings as well as earnings before interest and tax. Z-Score can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area' with scores of less than 1, indicating the high probability of distress. Z Score is used widely by financial auditors, accountants, money managers, loan processers, wealth advisers, as well as day traders. In the last 25 years, many financial models that utilize z score has been proved to be successful as a predictor of corporate bankruptcy.
Compare to competition

In accordance with the company's disclosures, Big Lots has a Z Score of 4.4. This is 51.43% lower than that of the Consumer Defensive sector and 18.52% lower than that of the Discount Stores industry. The z score for all United States stocks is 49.54% higher than that of the company.

Big Lots Z Score Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Big Lots' direct or indirect competition against its Z Score to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Big Lots could also be used in its relative valuation, which is a method of valuing Big Lots by comparing valuation metrics of similar companies.
Big Lots is currently under evaluation in z score category among related companies.

Big Lots Institutional Holders

Institutional Holdings refers to the ownership stake in Big Lots that is held by large financial organizations, pension funds or endowments. Institutions may purchase large blocks of Big Lots' outstanding shares and can exert considerable influence upon its management. Institutional holders may also work to push the share price higher once they own the stock. Extensive social media coverage, TV shows, articles in high-profile magazines, and presentations at investor conferences help move the stock higher, increasing Big Lots' value.
Security TypeSharesValue
Border To Coast Pensions Partnership LtdCommon Shares1.3 M19.1 M
Landscape Capital Management LlcCommon Shares361.7 K7.6 M
Clifford Capital Partners LlcCommon Shares360.2 K7.6 M
Victory Capital Management IncCommon Shares358.7 K7.5 M
Cambria Investment Management LpCommon Shares168.3 K3.5 M
Simplex Trading LlcCall Options140 K2.9 M
Connor Clark Lunn Investment Management LtdCommon Shares115.5 K2.4 M
Walleye Capital LlcCommon Shares104.3 K2.2 M
Walleye Trading LlcPut Options60.7 K1.3 M

Big Lots Fundamentals

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.
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.

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.
Investor biases related to Big Lots' public news can be used to forecast risks associated with investment in Big Lots. The trend in average sentiment can be used to explain how an investor holding Big Lots can time the market purely based on public headlines and social activities around Big Lots. Please note that most equiteis that are difficult to arbitrage are affected by market sentiment the most.
Big Lots' market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Big Lots' and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average Big Lots' news discussions. The higher the estimate score, the more favorable is the investor's outlook on Big Lots.

Big Lots Implied Volatility

    
  74.12  
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.

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 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 Big Lots Piotroski F Score and Big Lots Valuation analysis. 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 Transaction History module to view history of all your transactions and understand their impact on performance.

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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
651.5 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.