Big Quick Ratio vs Operating Margin Analysis
BIG Stock | USD 3.41 0.02 0.58% |
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 Quick Ratio and its Operating Profit Margin 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.
Quick Ratio vs Operating Profit Margin
Quick Ratio vs Operating Margin Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Big Lots Quick Ratio account and Operating Margin. At this time, the significance of the direction appears to have fragmental relationship.
The correlation between Big Lots' Quick Ratio and Operating Margin is 0.42. Overlapping area represents the amount of variation of Quick Ratio that can explain the historical movement of Operating Margin 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' Quick Ratio and Operating Margin is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Quick Ratio of Big Lots are associated (or correlated) with its Operating Margin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Operating Margin has no effect on the direction of Quick Ratio i.e., Big Lots' Quick Ratio and Operating Margin go up and down completely randomly.
Correlation Coefficient | 0.42 |
Relationship Direction | Positive |
Relationship Strength | Weak |
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.Operating Profit Margin
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' Sales General And Administrative To Revenue is most likely to increase slightly in the upcoming years. The Big Lots' current Enterprise Value Over EBITDA is estimated to increase to 7.36, while Selling General Administrative is projected to decrease to roughly 1.2 B.
2021 | 2022 | 2023 | 2024 (projected) | Gross Profit | 2.4B | 1.9B | 1.6B | 1.6B | Total Revenue | 6.2B | 5.5B | 4.7B | 4.1B |
Big Lots fundamental ratios Correlations
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Big Lots Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Big Lots fundamental ratios Accounts
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Total Assets | 3.2B | 4.0B | 3.9B | 3.7B | 3.3B | 1.8B | |
Short Long Term Debt Total | 1.5B | 1.7B | 1.8B | 2.1B | 2.3B | 2.4B | |
Other Current Liab | 82.1M | 109.7M | 294.8M | 245.9M | 259.1M | 150.5M | |
Total Current Liabilities | 870.8M | 1.0B | 1.1B | 919.9M | 831.0M | 517.0M | |
Total Stockholder Equity | 845.5M | 1.3B | 1.0B | 763.9M | 284.5M | 270.3M | |
Property Plant And Equipment Net | 2.1B | 2.4B | 2.5B | 2.3B | 2.2B | 2.3B | |
Net Debt | 1.5B | 1.2B | 1.8B | 2.0B | 2.2B | 2.3B | |
Retained Earnings | 2.8B | 3.4B | 3.5B | 3.2B | 2.8B | 2.9B | |
Cash | 52.7M | 559.6M | 53.7M | 44.7M | 46.4M | 83.4M | |
Non Current Assets Total | 2.1B | 2.5B | 2.5B | 2.4B | 2.2B | 2.4B | |
Non Currrent Assets Other | 69.2M | 68.9M | 37.5M | 38.4M | 37.8M | 39.7M | |
Cash And Short Term Investments | 52.7M | 559.6M | 53.7M | 44.7M | 46.4M | 83.4M | |
Common Stock Shares Outstanding | 39.4M | 39.1M | 33.4M | 28.9M | 29.2M | 27.7M | |
Liabilities And Stockholders Equity | 3.2B | 4.0B | 3.9B | 3.7B | 3.3B | 1.8B | |
Non Current Liabilities Total | 1.5B | 1.8B | 1.8B | 2.0B | 2.2B | 2.3B | |
Inventory | 921.3M | 940.3M | 1.2B | 1.1B | 953.3M | 773.3M | |
Other Current Assets | 90.0M | 85.9M | 119.4M | 92.6M | 86.3M | 84.6M | |
Other Stockholder Equity | (1.9B) | (2.1B) | (2.5B) | (2.5B) | (2.5B) | (2.3B) | |
Total Liab | 2.3B | 2.8B | 2.9B | 2.9B | 3.0B | 3.2B | |
Property Plant And Equipment Gross | 2.1B | 2.4B | 2.5B | 2.3B | 3.6B | 3.7B | |
Total Current Assets | 1.1B | 1.6B | 1.4B | 1.3B | 1.1B | 970.1M | |
Accumulated Other Comprehensive Income | (1.4B) | (1.4B) | (1.4B) | (1.2B) | (1.1B) | (1.0B) | |
Short Term Debt | 212.1M | 226.1M | 242.3M | 252.3M | 249.3M | 261.8M | |
Accounts Payable | 378.2M | 398.4M | 587.5M | 421.7M | 320.7M | 296.4M | |
Other Liab | 170.5M | 153.7M | 257.7M | 222.1M | 255.4M | 149.2M | |
Other Assets | 73.9M | 85.2M | 48.5M | 94.8M | 109.0M | 61.1M | |
Long Term Debt | 279.5M | 35.8M | 3.5M | 301.4M | 406.3M | 426.6M | |
Property Plant Equipment | 849.1M | 2.4B | 2.5B | 691.1M | 794.8M | 812.4M | |
Current Deferred Revenue | 8.6M | 198.3M | 266.4M | 1.9M | 1.7M | 1.6M | |
Treasury Stock | (2.5B) | (2.5B) | (2.7B) | (3.1B) | (2.8B) | (2.7B) | |
Net Tangible Assets | 1.9B | 1.3B | 1.0B | 2.3B | 2.6B | 2.8B | |
Retained Earnings Total Equity | 2.8B | 3.4B | 3.5B | 3.2B | 3.7B | 2.5B | |
Capital Surpluse | 620.7M | 634.8M | 640.5M | 627.7M | 721.9M | 656.9M | |
Deferred Long Term Liab | 60.7M | 48.6M | 7.8M | 21.4M | 19.3M | 37.1M | |
Non Current Liabilities Other | 109.5M | 181.2M | 138.1M | 191.8M | 123.8M | 137.6M | |
Long Term Debt Total | 279.5M | 35.8M | 3.5M | 301.4M | 346.6M | 363.9M |
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.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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
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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 (16.53) | Revenue Per Share 161.965 | Quarterly Revenue Growth (0.07) | Return On Assets (0.08) |
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.