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Salesforce Earnings Estimate

CRM Stock  USD 270.37  1.55  0.57%   
The next projected EPS of Salesforce is estimated to be 2.38 with future projections ranging from a low of 2.29 to a high of 2.42. Salesforce's most recent 12-month trailing earnings per share (EPS TTM) is at 4.19. Please be aware that the consensus of earnings estimates for Salesforce is based on EPS before non-recurring items and includes expenses related to employee stock options.
 
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Salesforce is projected to generate 2.38 in earnings per share on the 30th of April 2024. Salesforce earnings estimates module stress-tests analyst consensus about projected Salesforce EPS (Earning Per Share) to derive its highest and lowest estimates based on its historical volatility. Many public companies, such as Salesforce, manage the perception of their earnings on a regular basis to make sure that analyst estimates are accurate. Future earnings calculations are also an essential input when attempting to value a firm. By analyzing Salesforce's earnings estimates, investors can diagnose different trends across Salesforce's analyst sentiment over time as well as compare current estimates against different timeframes. At this time, Salesforce's Gross Profit is very stable compared to the past year. As of the 20th of April 2024, Pretax Profit Margin is likely to grow to 0.15, while Gross Profit Margin is likely to drop 0.60.
  
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Salesforce. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in metropolitan statistical area.
To learn how to invest in Salesforce Stock, please use our How to Invest in Salesforce guide.

Salesforce Earnings Estimation Breakdown

The calculation of Salesforce's earning per share is based on the data from the past 12 consecutive months, used for reporting the company's financial figures. The next projected EPS of Salesforce is estimated to be 2.38 with the future projection ranging from a low of 2.29 to a high of 2.42. Please be aware that this consensus of annual earnings estimates for Salesforce is based on EPS before non-recurring items and includes expenses related to employee stock options.
Last Reported EPS
2.29
2.29
Lowest
Expected EPS
2.38
2.42
Highest

Salesforce Earnings Projection Consensus

Suppose the current estimates of Salesforce's value are higher than the current market price of the Salesforce stock. In this case, investors may conclude that Salesforce is overpriced and will exhibit bullish sentiment. On the other hand, if the present value is lower than the stock price, analysts may conclude that the market undervalues the equity. These scenarios may suggest that the market is not as efficient as it should be at the estimation time, and Salesforce's stock will quickly adjusts to the new information provided by the consensus estimate.
Number of AnalystsHistorical AccuracyLast Reported EPSEstimated EPS for 30th of April 2024Current EPS (TTM)
4591.28%
2.29
2.38
4.19

Salesforce Earnings per Share Projection vs Actual

Actual Earning per Share of Salesforce refers to what the company shows during its earnings calls or quarterly reports. The Expected EPS is what analysts covering Salesforce predict the company's earnings will be in the future. The higher the earnings per share of Salesforce, the better is its profitability. While calculating the Earning per Share, we use the weighted ratio, as the number of shares outstanding can change over time.

Salesforce Estimated Months Earnings per Share

For an investor who is primarily interested in generating an income out of investing in entities such as Salesforce, the EPS ratio can tell if the company is intending to increase its current dividend. Although EPS is an essential tool for investors, it should not be used in isolation. EPS of Salesforce should always be considered in relation to other companies to make a more educated investment decision.

Salesforce Quarterly Analyst Estimates and Surprise Metrics

Earnings surprises can significantly impact Salesforce's stock price both in the short term and over time. Negative earnings surprises usually result in a price decline. However, it has been seen that positive earnings surprises lead to an immediate rise in a stock's price and a gradual increase over time. This is why we often hear news about some companies beating earning projections. Financial analysts spend a large amount of time predicting earnings per share (EPS) along with other important future indicators. Many analysts use forecasting models, management guidance, and additional fundamental information to derive an EPS estimate.
Reported
Fiscal Date
Estimated EPS
Reported EPS
Surprise
2024-02-28
2024-01-312.262.290.03
2023-11-29
2023-10-312.062.110.05
2023-08-30
2023-07-311.92.120.2211 
2023-05-31
2023-04-301.611.690.08
2023-03-01
2023-01-311.361.680.3223 
2022-11-30
2022-10-311.211.40.1915 
2022-08-24
2022-07-311.021.190.1716 
2022-05-31
2022-04-300.940.980.04
2022-03-01
2022-01-310.740.840.113 
2021-11-30
2021-10-310.921.270.3538 
2021-08-25
2021-07-310.921.480.5660 
2021-05-27
2021-04-300.881.210.3337 
2021-02-25
2021-01-310.751.040.2938 
2020-12-01
2020-10-310.751.740.99132 
2020-08-25
2020-07-310.671.440.77114 
2020-05-28
2020-04-300.690.70.01
2020-02-25
2020-01-310.560.660.117 
2019-12-03
2019-10-310.660.750.0913 
2019-08-22
2019-07-310.470.660.1940 
2019-06-04
2019-04-300.610.930.3252 
2019-03-04
2019-01-310.550.70.1527 
2018-11-27
2018-10-310.50.610.1122 
2018-08-29
2018-07-310.470.530.0612 
2018-05-29
2018-04-300.460.740.2860 
2018-02-28
2018-01-310.330.350.02
2017-11-21
2017-10-310.370.390.02
2017-08-22
2017-07-310.320.330.01
2017-05-18
2017-04-300.260.280.02
2017-02-28
2017-01-310.250.280.0312 
2016-11-17
2016-10-310.210.240.0314 
2016-08-31
2016-07-310.220.240.02
2016-05-18
2016-04-300.230.240.01
2016-02-24
2016-01-310.190.190.0
2015-11-18
2015-10-310.190.210.0210 
2015-08-20
2015-07-310.170.190.0211 
2015-05-20
2015-04-300.140.160.0214 
2015-02-25
2015-01-310.140.140.0
2014-11-19
2014-10-310.130.140.01
2014-08-21
2014-07-310.120.130.01
2014-05-20
2014-04-300.10.110.0110 
2014-02-27
2014-01-310.060.070.0116 
2013-11-18
2013-10-310.090.090.0
2013-08-29
2013-07-310.070.090.0228 
2013-05-23
2013-04-300.10.10.0
2013-02-28
2013-01-310.10.130.0330 
2012-11-20
2012-10-310.080.080.0
2012-08-23
2012-07-310.10.110.0110 
2012-05-17
2012-04-300.090.090.0
2012-02-23
2012-01-310.10.110.0110 
2011-11-17
2011-10-310.080.090.0112 
2011-08-18
2011-07-310.070.080.0114 
2011-05-19
2011-04-300.070.070.0
2011-02-24
2011-01-310.060.080.0233 
2010-11-18
2010-10-310.080.080.0
2010-08-19
2010-07-310.070.070.0
2010-05-20
2010-04-300.080.080.0
2010-02-24
2010-01-310.040.040.0
2009-11-17
2009-10-310.040.040.0
2009-08-20
2009-07-310.040.040.0
2009-05-21
2009-04-300.030.040.0133 
2009-02-25
2009-01-310.020.030.0150 
2008-11-20
2008-10-310.020.020.0
2008-08-20
2008-07-310.020.020.0
2008-05-21
2008-04-300.020.020.0
2008-02-27
2008-01-310.010.020.01100 
2007-11-15
2007-10-310.010.010.0
2007-05-16
2007-04-300.020.01-0.0150 
2007-02-21
2007-01-310.020.020.0
2006-11-15
2006-10-310.010.020.01100 
2006-08-16
2006-07-310.010.020.01100 
2006-05-17
2006-04-300.010.010.0
2006-02-22
2006-01-310.010.010.0
2005-11-16
2005-10-310.010.010.0
2005-08-17
2005-07-310.010.010.0
2005-05-18
2005-04-300.010.010.0

About Salesforce Earnings Estimate

The earnings estimate module is a useful tool to check what professional financial analysts are assuming about the future of Salesforce earnings. We show available consensus EPS estimates for the upcoming years and quarters. Investors can also examine how these consensus opinions have evolved historically. We show current Salesforce estimates, future projections, as well as estimates 1, 2, and three years ago. Investors can search for a specific entity to conduct investment planning and build diversified portfolios. Please note, earnings estimates provided by Macroaxis are the average expectations of expert analysts that we track. If a given stock such as Salesforce fails to match professional earnings estimates, it usually performs purely. Wall Street refers to that as a 'negative surprise.' If a company 'beats' future estimates, it's usually called an 'upside surprise.'
Please read more on our stock advisor page.
Last ReportedProjected for Next Year
Retained Earnings11.7 B12.3 B
Retained Earnings Total Equity8.7 B9.2 B
Earnings Yield 0.02  0.02 
Price Earnings Ratio 66.19  62.89 
Price Earnings To Growth Ratio 0.03  0.04 

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.

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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 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 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 Trending Equities to better understand how to build diversified portfolios, which includes a position in Salesforce. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in metropolitan statistical area.
To learn how to invest in Salesforce Stock, please use our How to Invest in Salesforce guide.
You can also try the Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.

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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
4.19
Revenue Per Share
35.787
Quarterly Revenue Growth
0.108
Return On Assets
0.0377
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.