Salesforce Stock Market Value

CRM Stock  USD 300.51  6.18  2.10%   
Salesforce's market value is the price at which a share of Salesforce stock trades on a public exchange. It measures the collective expectations of Salesforce investors about the entity's future performance. With this module, you can estimate the performance of a buy and hold strategy of Salesforce and determine expected loss or profit from investing in Salesforce over a given investment horizon.
Check out Salesforce Correlation, Salesforce Volatility and Salesforce Alpha and Beta module to complement your research on Salesforce.
To learn how to invest in Salesforce Stock, please use our How to Invest in Salesforce guide.
Symbol

Salesforce Price To Book Ratio

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
4.21
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.

Salesforce 'What if' Analysis

In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Salesforce's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Salesforce.
0.00
03/29/2022
No Change 0.00  0.0 
In 1 year 11 months and 22 days
03/18/2024
0.00
If you would invest  0.00  in Salesforce on March 29, 2022 and sell it all today you would earn a total of 0.00 from holding Salesforce or generate 0.0% return on investment in Salesforce over 720 days. Salesforce is related to or competes with Daily Journal, C3 Ai, Eventbrite, and Kingsoft Cloud. Salesforce, Inc. provides customer relationship management technology that brings companies and customers together world... More

Salesforce Upside/Downside Indicators

Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Salesforce's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Salesforce upside and downside potential and time the market with a certain degree of confidence.

Salesforce Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Salesforce's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Salesforce's standard deviation. In reality, there are many statistical measures that can use Salesforce historical prices to predict the future Salesforce's volatility.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Salesforce's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy. Please use the tools below to analyze the current value of Salesforce in the context of predictive analytics.
Hype
Prediction
LowEstimatedHigh
291.92293.58295.24
Details
Intrinsic
Valuation
LowRealHigh
233.36235.02323.76
Details
Naive
Forecast
LowNextHigh
286.71288.37290.02
Details
46 Analysts
Consensus
LowTargetHigh
218.83240.47266.92
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Salesforce. Your research has to be compared to or analyzed against Salesforce's peers to derive any actionable benefits. When done correctly, Salesforce's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Salesforce.

Salesforce Backtested Returns

We consider Salesforce very steady. Salesforce owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.12, which indicates the firm had 0.12% return per unit of risk over the last 3 months. Our standpoint towards measuring the volatility of a stock is to use all available market data together with stock-specific technical indicators that cannot be diversified away. We have found twenty-eight technical indicators for Salesforce, which you can use to evaluate the future volatility of the company. Please validate Salesforce's Coefficient Of Variation of 646.47, risk adjusted performance of 0.1039, and Semi Deviation of 1.25 to confirm if the risk estimate we provide is consistent with the expected return of 0.19%. Salesforce has a performance score of 8 on a scale of 0 to 100. The entity has a beta of 1.19, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Salesforce will likely underperform. By inspecting Salesforce technical indicators, you can presently evaluate if the expected return of 0.19% will be sustainable into the future. Salesforce right now has a risk of 1.66%. Please validate Salesforce downside variance, and the relationship between the sortino ratio and accumulation distribution to decide if Salesforce will be following its existing price patterns.

Auto-correlation

    
  -0.14  

Insignificant reverse predictability

Salesforce has insignificant reverse predictability. Overlapping area represents the amount of predictability between Salesforce time series from 29th of March 2022 to 24th of March 2023 and 24th of March 2023 to 18th of March 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Salesforce price movement. The serial correlation of -0.14 indicates that less than 14.0% of current Salesforce price fluctuation can be explain by its past prices.
Correlation Coefficient-0.14
Spearman Rank Test-0.35
Residual Average0.0
Price Variance1178.69

Salesforce lagged returns against current returns

Autocorrelation, which is Salesforce stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Salesforce's stock expected returns. We can calculate the autocorrelation of Salesforce returns to help us make a trade decision. For example, suppose you find that Salesforce stock has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the stock movement to match the lagging time series.
   Current and Lagged Values   
       Timeline  

Salesforce regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Salesforce stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Salesforce stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Salesforce stock over time.
   Current vs Lagged Prices   
       Timeline  

Salesforce Lagged Returns

When evaluating Salesforce's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Salesforce stock have on its future price. Salesforce autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Salesforce autocorrelation shows the relationship between Salesforce stock current value and its past values and can show if there is a momentum factor associated with investing in Salesforce.
   Regressed Prices   
       Timeline  

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

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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 Salesforce Correlation, Salesforce Volatility and Salesforce Alpha and Beta module to complement your research on Salesforce.
To learn how to invest in Salesforce Stock, please use our How to Invest in Salesforce guide.
You can also try the Global Correlations module to find global opportunities by holding instruments from different markets.

Complementary Tools for Salesforce Stock analysis

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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Salesforce technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
A focus of Salesforce technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Salesforce trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...