Scansource SCSC
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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
Scansource (SCSC) Business Model and Operations Summary
ScanSource Inc provides value-added services for technology manufacturers and sells to resellers in specialty technology markets. The firm's operations are organized in two segments: Specialty Technology Solutions and Modern Communications and Cloud. It generates maximum revenue from the Specialty Technology Solutions segment. The Specialty Technology Solutions segment includes the company's business in mobility and barcode, POS, payments, security and networking technologies. Geographically, it derives a majority of revenue from the United States.
Key Insights
Scansource (SCSC) Core Market Data and Business Metrics
Latest Closing Price
$40.38Market Cap
$927.66 MillionTotal Outstanding Shares
22.60 Million SharesTotal Employees
2,300IPO Date
March 18, 1994SIC Description
Wholesale-computers & Peripheral Equipment & SoftwarePrimary Exchange
NASDAQHeadquarters
6 Logue Court, Greenville, SC, 29615
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
Revenue Breakdown
Distribution of revenue across unique business segments & geographies
Historical Stock Splits
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