Big Lots Total Debt Trend from 2010 to 2022

BIG
 Stock
  

USD 20.42  0.55  2.62%   

Big Lots Total Debt is increasing over the years with slightly volatile fluctuation. Total Debt is expected to dwindle to about 988.2 M. During the period from 2010 to 2022 Big Lots Total Debt anual values regression line had geometric mean of 604,891,257 and significance of  0.003075.
  
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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 various Big Lots Technical models. Continue to the analysis of Big Lots Correlation against competitors.

Big Lots Quarterly Total Debt

2.08 Billion

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Big Lots Total Debt Breakdown

Showing smoothed Total Debt of Big Lots with missing and latest data points interpolated. Total Debt of Big Lots is a combination of both Big Lots short-term and long-term liabilities. Short-term debts are those that must be paid back within a year. This type of debt applies to things like lines of credit or short-term term bonds. Long-term debt of Big Lots includes liability that must be paid off in more than a year. This typically includes large senior debts like mortgages, bonds, as well as business loans or leases. A component of Total Liabilities representing the total amount of current and non-current debt owed. Includes secured and unsecured bonds issued; commercial paper; notes payable; credit facilities; lines of credit; capital lease obligations; operating lease obligations; and convertible notes.Big Lots' Total Debt 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 1.82 B10 Years Trend
Increasing
Slightly volatile
 Total Debt 
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      Timeline 

Big Lots Total Debt Regression Statistics

Arithmetic Mean 1,083,776,170
Geometric Mean 604,891,257
Coefficient Of Variation 66.92
Mean Deviation 634,257,945
Median 1,526,985,000
Standard Deviation 725,312,337
Range 1,738,488,000
R-Value 0.75
R-Squared 0.56
Significance 0.003075
Slope 139,909,738

Big Lots Total Debt History

20141.5 B
20201.8 B
2022988.2 M

Other Fundumenentals of Big Lots

Big Lots Total Debt component correlations

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 Total Debt, 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
Total Debt1.8 B988.2 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 10500 people.

Be your own money manager

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.

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 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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.

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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.