Salesforce Long Term Debt to Equity Trend from 2010 to 2022

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USD 172.20  4.00  2.38%   

Salesforce Long Term Debt to Equity yearly trend continues to be relatively stable with very little volatility. Long Term Debt to Equity may rise above 0.24 this year. During the period from 2010 to 2022, Salesforce Long Term Debt to Equity yarly data series regression line had median of 0.26 and sample variance of  0.019424. Salesforce Gross Profit is relatively stable at the moment as compared to the past year. The company's current value of Gross Profit is estimated at 21 Billion. Net Income is expected to hike to about 1.6 B this year, although the value of Weighted Average Shares will most likely fall to nearly 915 M.
  
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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 7.6 B, Consolidated Income of 1.6 B or Cost of Revenue of 7.6 B, as well as many exotic indicators such as Interest Coverage of 77.24, Long Term Debt to Equity of 0.24 or Calculated Tax Rate of 6.2. Salesforce financial statements analysis is a perfect complement when working with Salesforce Valuation or Volatility modules. It can also supplement various Salesforce Technical models. Continue to the analysis of Salesforce Correlation against competitors.

Salesforce Long Term Debt to Equity Breakdown

Showing smoothed Long Term Debt to Equity of Salesforce with missing and latest data points interpolated. Salesforce's Long Term Debt to Equity 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.
Long Term Debt to Equity10 Years Trend
Decreasing
Slightly volatile
 Long Term Debt to Equity 
Share
      Timeline 

Salesforce Long Term Debt to Equity Regression Statistics

Arithmetic Mean 0.26
Geometric Mean 0.22
Coefficient Of Variation 52.93
Mean Deviation 0.11
Median 0.26
Standard Deviation 0.14
Sample Variance 0.019424
Range 0.37
R-Value(0.81)
Mean Square Error 0.007225
R-Squared 0.66
Significance 0.00075147
Slope(0.029052)
Total Sum of Squares 0.23

Salesforce Long Term Debt to Equity History

2010 0.43
2011 0.42
2014 0.34
2015 0.26
2016 0.27
2017 0.074
2018 0.2
2019 0.0789
2020 0.0644
2021 0.18
2022 0.24

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 Long Term Debt to Equity, 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 2022
Long Term Debt to Equity 0.18  0.24 
Average Equity53.3 B57.5 B
Salesforce, Inc. provides customer relationship management technology that brings companies and customers together worldwide. Salesforce, Inc. was incorporated in 1999 and is headquartered in San Francisco, California. Salesforce operates under SoftwareApplication classification in the United States and is traded on New York Stock Exchange. It employs 73541 people.

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Our tools can tell you how much better you can do entering a position in Salesforce without increasing your portfolio risk or giving up 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.

Salesforce Pair Correlation

Correlation Analysis For Direct Indexing and Tax-loss Harvesting

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
Continue to the analysis of Salesforce Correlation against competitors. Note that the Salesforce information on this page should be used as a complementary analysis to other Salesforce's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..

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When running Salesforce 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 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.
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 Salesforce value 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.