Costco Financial Statements From 2010 to 2024
| COST Stock | 45.18 0.07 0.16% |
Gross Profit 30.1 B | Profit Margin 0.029 | Market Capitalization 597.6 B | Enterprise Value Revenue 1.681 | Revenue 254.5 B |
Costco Wholesale Total Revenue |
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Check Costco Wholesale financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Costco Wholesale's main balance sheet or income statement drivers, such as Tax Provision of 1.7 B, Net Interest Income of 450.4 M or Interest Income of 643.6 M, as well as many indicators such as . Costco financial statements analysis is a perfect complement when working with Costco Wholesale Valuation or Volatility modules.
Costco | Select Account or Indicator |
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Costco Fundamental Market Drivers
| Forward Price Earnings | 52.356 |
About Costco Wholesale Financial Statements
Costco Wholesale stakeholders use historical fundamental indicators, such as Costco Wholesale's revenue or net income, to determine how well the company is positioned to perform in the future. Although Costco Wholesale investors may analyze each financial statement separately, they are all interrelated. For example, changes in Costco Wholesale's assets and liabilities are reflected in the revenues and expenses on Costco Wholesale's income statement, which ultimately affect the company's gains or losses. Understanding these patterns can help in making the right long-term investment decisions in Costco Wholesale Corp. Please read more on our technical analysis and fundamental analysis pages.
| Last Reported | Projected for Next Year | ||
| Total Revenue | 278.6 B | 206.5 B | |
| Cost Of Revenue | 244.5 B | 180.3 B |
Pair Trading with Costco Wholesale
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 Costco Wholesale 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 Costco Wholesale will appreciate offsetting losses from the drop in the long position's value.Moving together with Costco Stock
The ability to find closely correlated positions to Costco Wholesale could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Costco Wholesale 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 Costco Wholesale - 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 Costco Wholesale Corp to buy it.
The correlation of Costco Wholesale 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 Costco Wholesale moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Costco Wholesale Corp 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 Costco Wholesale 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 the analysis of Costco Wholesale Correlation against competitors. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.