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- LTH vs FICO Comparison
LTH vs FICO Comparison
Compare LTH & FICO Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
- Machine Learning Prediction
- ML Decision
- LTH
- FICO
- Stock Information
- Founded
- LTH 1992
- FICO 1956
- Country
- LTH United States
- FICO United States
- Employees
- LTH N/A
- FICO N/A
- Industry
- LTH Hotels/Resorts
- FICO Business Services
- Sector
- LTH Consumer Discretionary
- FICO Consumer Discretionary
- Exchange
- LTH Nasdaq
- FICO Nasdaq
- Market Cap
- LTH N/A
- FICO 46.1B
- IPO Year
- LTH 2021
- FICO 1987
- Fundamental
- Price
- LTH $30.93
- FICO $1,925.28
- Analyst Decision
- LTH Buy
- FICO Buy
- Analyst Count
- LTH 12
- FICO 12
- Target Price
- LTH $33.21
- FICO $2,173.58
- AVG Volume (30 Days)
- LTH 2.2M
- FICO 191.9K
- Earning Date
- LTH 05-08-2025
- FICO 04-29-2025
- Dividend Yield
- LTH N/A
- FICO N/A
- EPS Growth
- LTH 100.00
- FICO 21.78
- EPS
- LTH 0.74
- FICO 21.79
- Revenue
- LTH $2,620,995,000.00
- FICO $1,775,435,000.00
- Revenue This Year
- LTH $14.12
- FICO $17.79
- Revenue Next Year
- LTH $11.10
- FICO $15.57
- P/E Ratio
- LTH $42.11
- FICO $89.61
- Revenue Growth
- LTH 18.24
- FICO 14.49
- 52 Week Low
- LTH $12.34
- FICO $1,105.65
- 52 Week High
- LTH $33.64
- FICO $2,402.52
- Technical
- Relative Strength Index (RSI)
- LTH 53.52
- FICO 58.18
- Support Level
- LTH $30.41
- FICO $1,791.23
- Resistance Level
- LTH $31.67
- FICO $1,971.12
- Average True Range (ATR)
- LTH 1.59
- FICO 85.93
- MACD
- LTH 0.04
- FICO 10.93
- Stochastic Oscillator
- LTH 81.31
- FICO 94.99
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.