Gorman-Rupp GRC
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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
Gorman-Rupp (GRC) Business Model and Operations Summary
Gorman-Rupp Co designs, manufactures, and globally sells pumps & pump systems for use in water, wastewater, construction, dewatering, industrial, petroleum, original equipment, agriculture, fire protection, heating, ventilating & air conditioning, military, and other liquid-handling applications. It operates in one business segment, the manufacture & sale of pumps and pump systems, and generates revenue from the same. Geographically, it generates the majority of revenue from the United States.
Key Insights
Gorman-Rupp (GRC) Core Market Data and Business Metrics
Latest Closing Price
$36.5Market Cap
$976.05 MillionTotal Outstanding Shares
26.29 Million SharesTotal Employees
1,450IPO Date
June 1, 1972SIC Description
Pumps & Pumping EquipmentPrimary Exchange
New York Stock ExchangeHeadquarters
600 South Airport Road, Mansfield, OH, 44901
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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