Salesforce Stock Market Value
| CRM Stock | USD 326.54 0.00 0.00% |
| Symbol | Salesforce |
Salesforce Price To Book Ratio
Is Application Software space 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 0.264 | Dividend Share 1.2 | Earnings Share 6.07 | Revenue Per Share | Quarterly Revenue Growth 0.083 |
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.
| 02/28/2023 |
| 02/17/2025 |
If you would invest 0.00 in Salesforce on February 28, 2023 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 Zoom Video, C3 Ai, Shopify, Workday, Intuit, Snowflake, and Atlassian Corp. 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.
| Downside Deviation | 1.87 | |||
| Information Ratio | 0.0163 | |||
| Maximum Drawdown | 15.92 | |||
| Value At Risk | (2.95) | |||
| Potential Upside | 3.7 |
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.| Risk Adjusted Performance | 0.0219 | |||
| Jensen Alpha | 0.0378 | |||
| Total Risk Alpha | 0.0349 | |||
| Sortino Ratio | 0.02 | |||
| Treynor Ratio | 0.0674 |
Salesforce Backtested Returns
As of now, Salesforce Stock is very steady. Salesforce owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0185, which indicates the firm had a 0.0185 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Salesforce, which you can use to evaluate the volatility of the company. Please validate Salesforce's Semi Deviation of 1.83, coefficient of variation of 4731.63, and Risk Adjusted Performance of 0.0219 to confirm if the risk estimate we provide is consistent with the expected return of 0.0408%. Salesforce has a performance score of 1 on a scale of 0 to 100. The entity has a beta of 0.57, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Salesforce's returns are expected to increase less than the market. However, during the bear market, the loss of holding Salesforce is expected to be smaller as well. Salesforce right now has a risk of 2.2%. 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 | 0.57 |
Modest predictability
Salesforce has modest predictability. Overlapping area represents the amount of predictability between Salesforce time series from 28th of February 2023 to 23rd of February 2024 and 23rd of February 2024 to 17th of February 2025. 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 0.57 indicates that roughly 57.0% of current Salesforce price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.57 | |
| Spearman Rank Test | 0.42 | |
| Residual Average | 0.0 | |
| Price Variance | 1259.36 |
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 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 price 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 |
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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.