Salesforce Return on Average Assets from 2010 to 2023

CRM Stock  USD 251.90  21.55  9.36%   
Salesforce Return on Average Assets yearly trend continues to be very stable with very little volatility. Return on Average Assets are likely to grow to 0.002053 this year. During the period from 2010 to 2023, Salesforce Return on Average Assets quarterly data regression pattern had sample variance of 0.001474 and median of  0.002053. At this time, Salesforce's Net Income Common Stock is very stable as compared to the past year. . As of the 1st of December 2023, Operating Expenses is likely to grow to about 23.7 B, while Selling General and Administrative Expense is likely to drop about 12.8 B.
Check Salesforce financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Salesforce main balance sheet or income statement drivers, such as Direct Expenses of 9 B, Consolidated Income of 213.5 M or Cost of Revenue of 9 B, as well as many exotic indicators such as Interest Coverage of 145, Long Term Debt to Equity of 0.22 or Calculated Tax Rate of 73.89. Salesforce financial statements analysis is a perfect complement when working with Salesforce Valuation or Volatility modules.
  
This module can also supplement Salesforce's financial leverage analysis and stock options assessment as well as various Salesforce Technical models . Check out the analysis of Salesforce Correlation against competitors.
To learn how to invest in Salesforce Stock, please use our How to Invest in Salesforce guide.

Salesforce Return on Average Assets Breakdown

Showing smoothed Return on Average Assets of Salesforce with missing and latest data points interpolated. Return on assets measures how profitable a company is Net Income Common Stock relative to its total assets [AssetsAvg]. Salesforce's Return on Average Assets 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.
ViewLast Reported 0.036810 Years Trend
Slightly volatile
   Return on Average Assets   
       Timeline  

Salesforce Return on Average Assets Regression Statistics

Arithmetic Mean(0.004211)
Geometric Mean0.016944
Coefficient Of Variation(911.80)
Mean Deviation0.029992
Median0.002053
Standard Deviation0.038392
Sample Variance0.001474
Range0.13
R-Value0.74
Mean Square Error0.00072143
R-Squared0.55
Significance0.002458
Slope0.006795
Total Sum of Squares0.019161

Salesforce Return on Average Assets History

2023 0.002053
2022 0.002
2021 0.017
2020 0.069
2019 0.003
2018 0.042
2017 0.019
2016 0.022
2015 -0.004
2014 -0.028
2013 -0.029

About Salesforce Financial Statements

There are typically three primary documents that fall into the category of financial statements. These documents include Salesforce income statement, its balance sheet, and the statement of cash flows. Salesforce investors use historical funamental indicators, such as Salesforce's Return on Average Assets, to determine how well the company is positioned to perform in the future. Although Salesforce investors may use each financial statement separately, they are all related. The changes in Salesforce's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on Salesforce's income statement, which results in the company's gains or losses. Cash flows can provide more information regarding cash listed on a balance sheet, but not equivalent to net income shown on the income statement. We offer a historical overview of the basic patterns found on Salesforce Financial Statements. Understanding these patterns can help to make the right decision on long term investment in Salesforce. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for 2023
Return on Average Assets 0.002  0.002053 
Average Assets94.5 B101.9 B
Average Equity59.2 B63.8 B
Invested Capital Average21.9 B23.7 B

Be your own money manager

Our tools can tell you how much better you can do entering a position in Salesforce without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.

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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 together with Salesforce Stock

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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 to buy it.
The correlation of Salesforce is a statistical measure of how it moves in relation to other equities. 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 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.
Pair CorrelationCorrelation Matching
When determining whether Salesforce is a strong investment it is important to analyze Salesforce's 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 Salesforce's future performance. For an informed investment choice regarding Salesforce Stock, refer to the following important reports:
Check out the analysis of Salesforce Correlation against competitors.
To learn how to invest in Salesforce Stock, please use our How to Invest in Salesforce guide.
You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.

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When running Salesforce's price analysis, check to measure Salesforce's 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 Salesforce is operating at the current time. Most of Salesforce's value examination focuses on studying past and present price action to predict the probability of Salesforce's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Salesforce's price. Additionally, you may evaluate how the addition of Salesforce to your portfolios can decrease your overall portfolio volatility.
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Is Salesforce's 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 Salesforce. If investors know Salesforce 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 Salesforce 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
4.952
Earnings Share
2.62
Revenue Per Share
34.727
Quarterly Revenue Growth
0.113
Return On Assets
0.0368
The market value of Salesforce is measured differently than its book value, which is the value of Salesforce that is recorded on the company's balance sheet. Investors also form their own opinion of Salesforce's value that differs from its market value or its book value, called intrinsic value, which is Salesforce's 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 Salesforce's market value can be influenced by many factors that don't directly affect Salesforce's 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 Salesforce's value and its price as these two are different measures arrived at by different means. Investors typically determine if Salesforce is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Salesforce's 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.