ESCO Technologies ESE
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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
ESCO Technologies (ESE) Business Model and Operations Summary
ESCO Technologies Inc sells engineered products and systems for utility, industrial, aerospace, and commercial applications. The firm operates in three segments: Aerospace and Defense, Utility Solutions Group (USG), and Test. The Aerospace and Defense segment designs and manufactures specialty filtration and naval products. The USG segment provides diagnostic testing solutions. The Test segment provides its customers with the ability to identify, measure, and contain magnetic, electromagnetic, and acoustic energy.
Key Insights
ESCO Technologies (ESE) Core Market Data and Business Metrics
Latest Closing Price
$181.24Market Cap
$4.72 BillionTotal Outstanding Shares
25.82 Million SharesTotal Employees
3,281IPO Date
October 19, 1990SIC Description
Communications Equipment, NecPrimary Exchange
New York Stock ExchangeHeadquarters
9900 A Clayton Rd, St Louis, MO, 63124
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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