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- LGHLW vs FICO Comparison
LGHLW vs FICO Comparison
Compare LGHLW & FICO Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
- Machine Learning Prediction
- ML Decision
- LGHLW
- FICO
- Stock Information
- Founded
- LGHLW N/A
- FICO 1956
- Country
- LGHLW China
- FICO United States
- Employees
- LGHLW N/A
- FICO N/A
- Industry
- LGHLW Investment Bankers/Brokers/Service
- FICO Business Services
- Sector
- LGHLW Finance
- FICO Consumer Discretionary
- Exchange
- LGHLW Nasdaq
- FICO Nasdaq
- Market Cap
- LGHLW N/A
- FICO 48.4B
- IPO Year
- LGHLW N/A
- FICO 1987
- Fundamental
- Price
- LGHLW $0.00
- FICO $2,090.00
- Analyst Decision
- LGHLW
- FICO Buy
- Analyst Count
- LGHLW 0
- FICO 12
- Target Price
- LGHLW N/A
- FICO $2,236.75
- AVG Volume (30 Days)
- LGHLW N/A
- FICO 182.1K
- Earning Date
- LGHLW N/A
- FICO 04-29-2025
- Dividend Yield
- LGHLW N/A
- FICO N/A
- EPS Growth
- LGHLW N/A
- FICO 21.78
- EPS
- LGHLW N/A
- FICO 23.21
- Revenue
- LGHLW N/A
- FICO $1,840,361,000.00
- Revenue This Year
- LGHLW N/A
- FICO $17.79
- Revenue Next Year
- LGHLW N/A
- FICO $15.57
- P/E Ratio
- LGHLW N/A
- FICO $90.72
- Revenue Growth
- LGHLW N/A
- FICO 14.71
- 52 Week Low
- LGHLW N/A
- FICO $1,240.31
- 52 Week High
- LGHLW N/A
- FICO $2,402.52
- Technical
- Relative Strength Index (RSI)
- LGHLW N/A
- FICO 68.95
- Support Level
- LGHLW N/A
- FICO $2,035.94
- Resistance Level
- LGHLW N/A
- FICO $2,112.05
- Average True Range (ATR)
- LGHLW 0.00
- FICO 53.87
- MACD
- LGHLW 0.00
- FICO 15.94
- Stochastic Oscillator
- LGHLW 0.00
- FICO 94.48
About FICO Fair Isaac Corproation
Founded in 1956, Fair Isaac Corporation is a leading applied analytics company. Fair Isaac is primarily known for its FICO credit scores, which is a widely used industry benchmark to determine the creditworthiness of an individual consumer. The firm's credit scores business accounts for most of the firm's profits and consists of business-to-business and business-to-consumer services. In addition to scores, Fair Isaac also sells software primarily to financial institutions for areas such as analytics, decision-making, customer workflows, and fraud.