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- MMYT vs CFLT Comparison
MMYT vs CFLT Comparison
Compare MMYT & CFLT Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
- Machine Learning Prediction
- ML Decision
- MMYT
- CFLT
- Stock Information
- Founded
- MMYT 2000
- CFLT 2014
- Country
- MMYT India
- CFLT United States
- Employees
- MMYT N/A
- CFLT N/A
- Industry
- MMYT Transportation Services
- CFLT EDP Services
- Sector
- MMYT Consumer Discretionary
- CFLT Technology
- Exchange
- MMYT Nasdaq
- CFLT Nasdaq
- Market Cap
- MMYT N/A
- CFLT 6.3B
- IPO Year
- MMYT 2010
- CFLT 2021
- Fundamental
- Price
- MMYT $102.55
- CFLT $22.32
- Analyst Decision
- MMYT Strong Buy
- CFLT Buy
- Analyst Count
- MMYT 3
- CFLT 29
- Target Price
- MMYT $95.67
- CFLT $29.66
- AVG Volume (30 Days)
- MMYT 860.1K
- CFLT 3.8M
- Earning Date
- MMYT 10-23-2024
- CFLT 10-30-2024
- Dividend Yield
- MMYT N/A
- CFLT N/A
- EPS Growth
- MMYT 1021.53
- CFLT N/A
- EPS
- MMYT 1.76
- CFLT N/A
- Revenue
- MMYT $840,312,000.00
- CFLT $865,588,000.00
- Revenue This Year
- MMYT $28.30
- CFLT $25.29
- Revenue Next Year
- MMYT $20.82
- CFLT $22.45
- P/E Ratio
- MMYT $59.27
- CFLT N/A
- Revenue Growth
- MMYT 29.87
- CFLT 26.55
- 52 Week Low
- MMYT $36.81
- CFLT $14.69
- 52 Week High
- MMYT $110.49
- CFLT $35.07
- Technical
- Relative Strength Index (RSI)
- MMYT 54.42
- CFLT 61.73
- Support Level
- MMYT $85.86
- CFLT $21.98
- Resistance Level
- MMYT $106.34
- CFLT $22.95
- Average True Range (ATR)
- MMYT 4.17
- CFLT 0.89
- MACD
- MMYT 0.67
- CFLT 0.32
- Stochastic Oscillator
- MMYT 81.49
- CFLT 85.48
About CFLT Confluent Inc.
Confluent Inc is a new category of data infrastructure designed to connect all the applications, systems, and data layers of a company around a real-time central nervous system. Its products include Confluent Platform; Connectors; ksqlDB and others. The company generates revenue from the sale of subscriptions and services. Geographically, it derives a majority of its revenue from the United States. The company provides solutions to Financial Services; Insurance; Retail and eCommerce; Automotive; Government and other sectors.