Servicenow NOW
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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
Servicenow (NOW) Business Model and Operations Summary
ServiceNow, Inc. provides enterprise cloud computing solutions that defines, structures, consolidates, manages, and automates services for enterprises worldwide. It operates the Now platform for workflow automation, artificial intelligence, machine learning, robotic process automation, performance analytics, electronic service catalogs and portals, configuration management systems, data benchmarking, encryption, and collaboration and development tools. The company also provides information technology (IT) service management applications; IT service management product suite for enterprise's employees, customers, and partners; IT business management product suite; IT operations management product that connects a customer's physical and cloud-based IT infrastructure; IT Asset Management to automate IT asset lifecycles; and security operations that connects with internal and third party. In addition, it offers governance, risk, and compliance product to manage risk and resilience; human resources, legal, and workplace service delivery products; safe workplace applications; customer service management product; and field service management applications. Further, it provides App Engine product; IntegrationHub enables application to extend workflows; and professional, industry solutions, and customer support services. It serves government, financial services, healthcare, telecommunications, manufacturing, IT services, technology, oil and gas, education, and consumer products through direct sales team and resale partners. It has a strategic partnership with Celonis to help customers identify and prioritize processes that are suitable for automation. The company was formerly known as Service-now.com and changed its name to ServiceNow, Inc. in May 2012. The company was founded in 2004 and is headquartered in Santa Clara, California.
Key Insights
Servicenow (NOW) Core Market Data and Business Metrics
Latest Closing Price
$1026.82Market Cap
$203.52 BillionAverage Trade Volume
1,885,172 SharesTotal Outstanding Shares
207 Million SharesCEO
Mr. William R. McDermottTotal Employees
26,293IPO Date
June 29, 2012SIC Description
Services-prepackaged SoftwarePrimary Exchange
New York Stock ExchangeHeadquarters
2225 Lawson Lane, Santa Clara, CA, 95054
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
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Historical Stock Splits
Execution Date | Split Amount |
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Historical Dividends
Announcement Date | Payment Date | Record Date | Amount | Frequency |
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No historical dividends |