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- CMA vs ESTC Comparison
CMA vs ESTC Comparison
Compare CMA & ESTC Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
- Machine Learning Prediction
- ML Decision
- CMA
- ESTC
- Stock Information
- Founded
- CMA 1849
- ESTC 2012
- Country
- CMA United States
- ESTC Netherlands
- Employees
- CMA N/A
- ESTC N/A
- Industry
- CMA Major Banks
- ESTC Computer Software: Prepackaged Software
- Sector
- CMA Finance
- ESTC Technology
- Exchange
- CMA Nasdaq
- ESTC Nasdaq
- Market Cap
- CMA 10.0B
- ESTC 8.5B
- IPO Year
- CMA N/A
- ESTC 2018
- Fundamental
- Price
- CMA $77.09
- ESTC $88.39
- Analyst Decision
- CMA Hold
- ESTC Buy
- Analyst Count
- CMA 22
- ESTC 27
- Target Price
- CMA $71.86
- ESTC $119.72
- AVG Volume (30 Days)
- CMA 4.1M
- ESTC 1.7M
- Earning Date
- CMA 10-17-2025
- ESTC 11-20-2025
- Dividend Yield
- CMA 3.66%
- ESTC N/A
- EPS Growth
- CMA 30.51
- ESTC N/A
- EPS
- CMA 5.23
- ESTC N/A
- Revenue
- CMA $3,234,000,000.00
- ESTC $1,551,164,000.00
- Revenue This Year
- CMA $6.48
- ESTC $16.97
- Revenue Next Year
- CMA $3.12
- ESTC $13.83
- P/E Ratio
- CMA $14.68
- ESTC N/A
- Revenue Growth
- CMA 2.31
- ESTC 17.43
- 52 Week Low
- CMA $48.12
- ESTC $70.15
- 52 Week High
- CMA $83.22
- ESTC $118.84
- Technical
- Relative Strength Index (RSI)
- CMA 55.75
- ESTC 57.05
- Support Level
- CMA $76.18
- ESTC $85.71
- Resistance Level
- CMA $79.00
- ESTC $90.18
- Average True Range (ATR)
- CMA 2.05
- ESTC 2.59
- MACD
- CMA -0.29
- ESTC 0.52
- Stochastic Oscillator
- CMA 55.07
- ESTC 82.67
About CMA Comerica Incorporated
With assets of around $80 billion, Comerica is primarily a relationship-based commercial bank headquartered in Dallas. In addition to Texas, Comerica's other primary geographies are California and Michigan, with locations also in Arizona and Florida and select businesses operating in several other states as well as Canada and Mexico.
About ESTC Elastic N.V.
Elastic is a software company that specializes in AI-search, observability, and security deployments. Its search division offers both traditional keyword search and vector search methods to enable more context-aware querying. The software has open-source origins but generates revenue through valuable add-ons, including simplified data orchestration and server scaling techniques.