Salesforce Total Operating Expenses from 2010 to 2026
| CRM Stock | 15.39 0.51 3.43% |
Total Operating Expenses | First Reported 2010-12-31 | Previous Quarter 36 B | Current Value 33.9 B | Quarterly Volatility 1.4 B |
Check Salesforce financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Salesforce's main balance sheet or income statement drivers, such as Tax Provision of 919.2 M, Interest Income of 130.5 M or Selling General Administrative of 16.5 B, as well as many indicators such as . Salesforce financial statements analysis is a perfect complement when working with Salesforce Valuation or Volatility modules.
Salesforce | Total Operating Expenses |
Evaluating Salesforce's Total Operating Expenses across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into Salesforce CDR's fundamental strength.
Latest Salesforce's Total Operating Expenses Growth Pattern
Below is the plot of the Total Operating Expenses of Salesforce CDR over the last few years. It is the total costs associated with the day-to-day operations of a business, excluding the cost of goods sold but including selling, general, and administrative expenses. Salesforce's Total Operating Expenses historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Salesforce's overall financial position and show how it may be relating to other accounts over time.
| Total Operating Expenses | 10 Years Trend |
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Total Operating Expenses |
| Timeline |
Salesforce Total Operating Expenses Regression Statistics
| Arithmetic Mean | 31,293,805,882 | |
| Geometric Mean | 31,265,429,736 | |
| Coefficient Of Variation | 4.55 | |
| Mean Deviation | 853,422,145 | |
| Median | 30,813,000,000 | |
| Standard Deviation | 1,424,164,268 | |
| Sample Variance | 2028243.9T | |
| Range | 5.7B | |
| R-Value | 0.53 | |
| Mean Square Error | 1558941.1T | |
| R-Squared | 0.28 | |
| Significance | 0.03 | |
| Slope | 149,080,392 | |
| Total Sum of Squares | 32451901.8T |
Salesforce Total Operating Expenses History
About Salesforce Financial Statements
Salesforce investors utilize fundamental indicators, such as Total Operating Expenses, to predict how Salesforce Stock might perform in the future. Analyzing these trends over time helps investors make informed market timing decisions. For further insights, please visit our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Total Operating Expenses | 36 B | 33.9 B |
Pair Trading with Salesforce
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 Salesforce 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 Salesforce will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Salesforce could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Salesforce 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 Salesforce - 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 Salesforce CDR to buy it.
The correlation of Salesforce 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 Salesforce moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Salesforce CDR 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 Salesforce 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.Other Information on Investing in Salesforce Stock
Salesforce financial ratios help investors to determine whether Salesforce Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Salesforce with respect to the benefits of owning Salesforce security.