Salesforce Change In Cash from 2010 to 2026
| CRM Stock | 15.39 0.51 3.43% |
Change In Cash | First Reported 2010-12-31 | Previous Quarter 338.4 M | Current Value 321.5 M | Quarterly Volatility 472.2 M |
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 | Change In Cash |
Evaluating Salesforce's Change In Cash 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 Change In Cash Growth Pattern
Below is the plot of the Change In Cash of Salesforce CDR over the last few years. It is Salesforce's Change In Cash 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.
| Change In Cash | 10 Years Trend |
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Change In Cash |
| Timeline |
Salesforce Change In Cash Regression Statistics
| Arithmetic Mean | 1,333,404,706 | |
| Geometric Mean | 1,185,532,012 | |
| Coefficient Of Variation | 35.41 | |
| Mean Deviation | 348,745,190 | |
| Median | 1,552,000,000 | |
| Standard Deviation | 472,153,980 | |
| Sample Variance | 222929.4T | |
| Range | 1.2B | |
| R-Value | (0.68) | |
| Mean Square Error | 128390.3T | |
| R-Squared | 0.46 | |
| Significance | 0 | |
| Slope | (63,420,000) | |
| Total Sum of Squares | 3566870.1T |
Salesforce Change In Cash History
About Salesforce Financial Statements
Salesforce investors utilize fundamental indicators, such as Change In Cash, 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 | ||
| Change In Cash | 338.4 M | 321.5 M |
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.Moving against Salesforce Stock
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.