Big Inventory Turnover vs Quick Ratio Analysis

BIG Stock  USD 3.22  0.23  6.67%   
Big Lots financial indicator trend analysis is way more than just evaluating Big Lots prevailing accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Big Lots is a good investment. Please check the relationship between Big Lots Inventory Turnover and its Quick Ratio accounts. 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.

Inventory Turnover vs Quick Ratio

Inventory Turnover vs Quick Ratio Correlation Analysis

The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Big Lots Inventory Turnover account and Quick Ratio. At this time, the significance of the direction appears to have very week relationship.
The correlation between Big Lots' Inventory Turnover and Quick Ratio is 0.27. Overlapping area represents the amount of variation of Inventory Turnover that can explain the historical movement of Quick Ratio in the same time period over historical financial statements of Big Lots, assuming nothing else is changed. The correlation between historical values of Big Lots' Inventory Turnover and Quick Ratio is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Inventory Turnover of Big Lots are associated (or correlated) with its Quick Ratio. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Quick Ratio has no effect on the direction of Inventory Turnover i.e., Big Lots' Inventory Turnover and Quick Ratio go up and down completely randomly.

Correlation Coefficient

0.27
Relationship DirectionPositive 
Relationship StrengthVery Weak

Inventory Turnover

A ratio showing how many times a company's inventory is sold and replaced over a period, indicating the efficiency of inventory management.

Quick Ratio

A measure of a company's ability to meet its short-term obligations with its most liquid assets. It is calculated as (current assets - inventories) divided by current liabilities.
Most indicators from Big Lots' fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Big Lots current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. 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.At this time, Big Lots' Discontinued Operations is most likely to increase significantly in the upcoming years. The Big Lots' current Sales General And Administrative To Revenue is estimated to increase to 0.36, while Selling General Administrative is projected to decrease to roughly 1.2 B.
 2021 2022 2023 2024 (projected)
Gross Profit2.4B1.9B1.5B1.6B
Total Revenue6.2B5.5B4.7B4.1B

Big Lots fundamental ratios Correlations

0.760.240.940.550.870.710.780.470.880.490.47-0.34-0.710.770.760.59-0.820.830.810.820.730.670.530.550.79
0.760.090.58-0.030.970.990.830.270.970.170.27-0.52-0.861.00.410.32-0.760.980.990.440.860.250.330.350.46
0.240.090.40.070.110.130.43-0.230.12-0.06-0.23-0.27-0.470.120.530.67-0.540.180.120.350.270.520.440.460.46
0.940.580.40.670.740.540.770.390.750.570.39-0.26-0.640.610.890.74-0.840.710.670.90.630.870.680.690.86
0.55-0.030.070.670.21-0.110.230.570.220.650.570.23-0.010.00.630.49-0.320.130.090.780.090.720.410.410.58
0.870.970.110.740.210.940.860.381.00.30.38-0.47-0.840.970.550.44-0.810.990.990.60.870.430.410.430.57
0.710.990.130.54-0.110.940.810.140.940.110.14-0.51-0.860.990.40.32-0.750.960.970.380.850.240.320.340.41
0.780.830.430.770.230.860.810.30.860.470.3-0.4-0.90.860.750.71-0.950.910.870.750.820.610.750.770.77
0.470.27-0.230.390.570.380.140.30.380.471.0-0.12-0.160.290.140.05-0.230.320.330.530.280.150.140.140.43
0.880.970.120.750.221.00.940.860.380.320.38-0.47-0.840.970.560.45-0.820.990.990.620.870.440.420.440.58
0.490.17-0.060.570.650.30.110.470.470.320.47-0.02-0.290.210.60.56-0.490.30.250.710.180.550.640.640.57
0.470.27-0.230.390.570.380.140.31.00.380.47-0.12-0.160.290.140.05-0.230.320.330.530.280.150.140.140.43
-0.34-0.52-0.27-0.260.23-0.47-0.51-0.4-0.12-0.47-0.02-0.120.68-0.5-0.03-0.250.51-0.48-0.47-0.03-0.56-0.030.10.05-0.03
-0.71-0.86-0.47-0.64-0.01-0.84-0.86-0.9-0.16-0.84-0.29-0.160.68-0.88-0.56-0.620.92-0.89-0.85-0.52-0.87-0.42-0.47-0.51-0.54
0.771.00.120.610.00.970.990.860.290.970.210.29-0.5-0.880.460.37-0.790.990.990.490.860.290.380.40.5
0.760.410.530.890.630.550.40.750.140.560.60.14-0.03-0.560.460.86-0.820.570.50.910.470.940.840.840.87
0.590.320.670.740.490.440.320.710.050.450.560.05-0.25-0.620.370.86-0.820.470.40.760.420.860.710.740.68
-0.82-0.76-0.54-0.84-0.32-0.81-0.75-0.95-0.23-0.82-0.49-0.230.510.92-0.79-0.82-0.82-0.85-0.8-0.78-0.81-0.71-0.7-0.73-0.76
0.830.980.180.710.130.990.960.910.320.990.30.32-0.48-0.890.990.570.47-0.850.990.60.870.430.480.50.6
0.810.990.120.670.090.990.970.870.330.990.250.33-0.47-0.850.990.50.4-0.80.990.540.870.360.420.440.54
0.820.440.350.90.780.60.380.750.530.620.710.53-0.03-0.520.490.910.76-0.780.60.540.490.870.780.790.92
0.730.860.270.630.090.870.850.820.280.870.180.28-0.56-0.870.860.470.42-0.810.870.870.490.340.380.410.51
0.670.250.520.870.720.430.240.610.150.440.550.15-0.03-0.420.290.940.86-0.710.430.360.870.340.710.720.76
0.530.330.440.680.410.410.320.750.140.420.640.140.1-0.470.380.840.71-0.70.480.420.780.380.711.00.85
0.550.350.460.690.410.430.340.770.140.440.640.140.05-0.510.40.840.74-0.730.50.440.790.410.721.00.86
0.790.460.460.860.580.570.410.770.430.580.570.43-0.03-0.540.50.870.68-0.760.60.540.920.510.760.850.86
Click cells to compare fundamentals

Big Lots Account Relationship Matchups

Big Lots fundamental ratios Accounts

201920202021202220232024 (projected)
Total Assets3.2B4.0B3.9B3.7B3.3B1.8B
Short Long Term Debt Total1.5B1.7B1.8B2.1B2.3B2.4B
Other Current Liab82.1M109.7M294.8M245.9M266.1M150.7M
Total Current Liabilities870.8M1.0B1.1B919.9M831.0M517.0M
Total Stockholder Equity845.5M1.3B1.0B763.9M284.5M270.3M
Property Plant And Equipment Net2.1B2.4B2.5B2.3B2.2B2.3B
Net Debt1.5B1.2B1.8B2.0B2.2B2.3B
Retained Earnings2.8B3.4B3.5B3.2B3.7B3.9B
Cash52.7M559.6M53.7M44.7M46.4M83.4M
Non Current Assets Total2.1B2.5B2.5B2.4B2.2B2.4B
Non Currrent Assets Other69.2M68.9M37.5M38.4M38.3M40.2M
Cash And Short Term Investments52.7M559.6M53.7M44.7M46.4M83.4M
Common Stock Shares Outstanding39.4M39.1M33.4M28.9M29.2M27.7M
Liabilities And Stockholders Equity3.2B4.0B3.9B3.7B3.3B1.8B
Non Current Liabilities Total1.5B1.8B1.8B2.0B2.2B2.3B
Inventory921.3M940.3M1.2B1.1B953.3M773.3M
Other Current Assets90.0M85.9M119.4M92.6M86.3M84.6M
Other Stockholder Equity(1.9B)(2.1B)(2.5B)(2.5B)(2.2B)(2.1B)
Total Liab2.3B2.8B2.9B2.9B3.0B3.2B
Property Plant And Equipment Gross2.1B2.4B2.5B2.3B2.7B2.8B
Total Current Assets1.1B1.6B1.4B1.3B1.1B970.1M
Accumulated Other Comprehensive Income(1.4B)(1.4B)(1.4B)(1.2B)(1.1B)(1.0B)
Short Term Debt212.1M226.1M242.3M252.3M242.4M254.5M
Accounts Payable378.2M398.4M587.5M421.7M320.7M296.4M
Other Liab170.5M153.7M257.7M222.1M255.4M149.2M
Other Assets73.9M85.2M48.5M94.8M109.0M61.1M
Long Term Debt279.5M35.8M3.5M301.4M346.6M363.9M
Property Plant Equipment849.1M2.4B2.5B691.1M794.8M812.4M
Current Deferred Revenue8.6M198.3M266.4M1.9M1.7M1.6M
Treasury Stock(2.5B)(2.5B)(2.7B)(3.1B)(2.8B)(2.7B)
Net Tangible Assets1.9B1.3B1.0B2.3B2.6B2.8B
Retained Earnings Total Equity2.8B3.4B3.5B3.2B3.7B2.5B
Capital Surpluse620.7M634.8M640.5M627.7M721.9M656.9M
Deferred Long Term Liab60.7M48.6M7.8M21.4M19.3M37.1M
Non Current Liabilities Other109.5M181.2M138.1M191.8M220.5M137.8M
Long Term Debt Total279.5M35.8M3.5M301.4M346.6M363.9M

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

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Moving against Big Stock

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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 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 Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.

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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.