Salesforce CRM
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Relative Strength Index (RSI)
- The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It is typically used to identify overbought or oversold conditions in financial markets.
- The RSI is calculated using the following formula:
RSI = 100 - (100 / (1 + RS))
Where RS is the ratio of the average gains to the average losses over a specified period.
- The default time period used is 14 days.
- RSI values range between 0 and 100.
RSI values above 70 are considered overbought (indicating a potentially opportune time to sell)
RSI values below 30 are considered oversold (indicating a potentially opportune time to buy)
RSI is not a perfect indicator and should be used in conjunction with other technical analysis tools, this is for informational purposes only and is not a substitute for professional financial advice.
About
Salesforce (CRM) Business Model and Operations Summary
Salesforce, Inc. provides customer relationship management technology that brings companies and customers together worldwide. Its Customer 360 platform empowers its customers to work together to deliver connected experiences for their customers. The company's service offerings include Sales to store data, monitor leads and progress, forecast opportunities, gain insights through analytics and relationship intelligence, and deliver quotes, contracts, and invoices; and Service that enables companies to deliver trusted and highly personalized customer service and support at scale. Its service offerings also comprise flexible platform that enables companies of various sizes, locations, and industries to build business apps to bring them closer to their customers with drag-and-drop tools; online learning platform that allows anyone to learn in-demand Salesforce skills; and Slack, a system of engagement. In addition, the company's service offerings include Marketing offering that enables companies to plan, personalize, and optimize one-to-one customer marketing journeys; and Commerce offering, which empowers brands to unify the customer experience across mobile, web, social, and store commerce points. Further, its service offerings comprise Tableau, an end-to-end analytics solution serving various enterprise use cases; and MuleSoft, an integration offering that allows its customers to unlock data across their enterprise. The company provides its service offering for customers in financial services, healthcare and life sciences, manufacturing, and other industries. It also offers professional services; and in-person and online courses to certify its customers and partners on architecting, administering, deploying, and developing its service offerings. The company provides its services through direct sales; and consulting firms, systems integrators, and other partners. Salesforce, Inc. was incorporated in 1999 and is headquartered in San Francisco, California.
Key Insights
Salesforce (CRM) Core Market Data and Business Metrics
Latest Closing Price
$287.63Market Cap
$277.12 BillionAverage Trade Volume
6,969,518 SharesTotal Outstanding Shares
959.47 Million SharesCEO
Mr. Marc R. BenioffTotal Employees
76,453IPO Date
June 23, 2004SIC Description
Services-prepackaged SoftwarePrimary Exchange
New York Stock ExchangeHeadquarters
Salesforce Tower, San Francisco, CA, 94105
Earnings Reports
Expected vs. Actual Quarterly Earnings-Per-Share & Revenue
Short Volume
Daily short volume activity identifies short-term trading pressure and potential price volatility
Short Interest
Short Interest
This information represents bi-monthly aggregated short interest data reported to the Financial Industry Regulatory Authority (FINRA) by broker-dealers.
Settlement Date: The date on which the short interest data is considered settled, typically based on exchange reporting schedules.
Short Interest: The total number of shares that have been sold short but have not yet been covered or closed out.
Avg Daily Volume: The average daily trading volume for the stock over the specified period, typically used to contextualize short interest.
Days To Cover: The estimated number of days it would take to cover all short positions based on average trading volume.
Bi-monthly short interest levels can be used to gauge bearish market sentiment and short squeeze potential
Revenue Breakdown
Distribution of revenue across unique business segments & geographies
Historical Stock Splits
Execution Date | Split Amount |
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