Fair Isaac (NYSE: FICO) — Perfil da empresa, notícias e dados financeiros
Fair Isaac is a US analytics software company known for the FICO score, enhancing decision-making across finance and retail.
Fair Isaac
Fair Isaac is a global analytics software firm that provides credit scoring, decision management software, and predictive analytics services to financial institutions, businesses, and consumers. Best known for creating the widely used consumer credit score, the company enables organizations across banking, insurance, telecommunications, healthcare, and retail to automate, enhance, and connect customer decisions. Its core technology portfolio includes cloud-based analytics platforms, fraud detection systems, customer lifecycle decisioning tools, and mathematical optimization software. Headquartered in Bozeman, Montana, the enterprise serves clients in over 100 countries to manage risk, reduce fraud, optimize operational workflows, and improve customer engagement.
Resumo
Operações
Produtos e/ou serviços de Fair Isaac
- Credit Scoring Systems: Standardized risk assessment tools and consumer credit scoring models supplied to credit bureaus, mortgage lenders, credit card issuers, and auto financing providers to evaluate individual creditworthiness, benchmark credit risk, and support loan underwriting across global markets.
- Enterprise Decisioning Platform: Cloud-based decision management architecture incorporating data ingestion, real-time contextual profiling, scenario simulation, and machine learning models to help financial institutions and enterprises automate customer onboarding, credit limit adjustments, and multi-channel customer lifecycle workflows.
- Fraud Detection Solutions: Real-time transactional monitoring systems and payment security applications deployed by banking institutions, card networks, and merchants globally to detect credit card fraud, application fraud, unauthorized transfers, and emerging digital scam patterns.
- Customer Lifecycle Management Solutions: Adaptive credit management software and automated collection decision engines that enable retail banks, telecommunications operators, and utility providers to manage line assignments, monitor portfolio risk, optimize recovery strategies, and deliver targeted customer retention offers.
- Mathematical Optimization Tools: Operations research software and high-performance mathematical solvers that enable logistics companies, manufacturers, financial firms, and energy producers to execute complex scenario modeling, capital allocation, resource scheduling, and supply chain route optimization.
- Commercial Credit Analytics: Small business credit scoring engines and commercial risk assessment models used by commercial banks and government lending programs to evaluate small business loan applicants, automate underwriting decisions, and assess small-to-medium enterprise credit risk.
equipe executiva do Fair Isaac
- William J. LansingPresident, CEO & Director
- Steven P. WeberExecutive VP & CFO
- Mark Russell ScadinaExecutive VP, General Counsel & Corporate Secretary
- Richard Shawn DealExecutive VP & Chief Human Resources Officer
- Nikhil BehlPresident of Software
- Michael S. LeonardVP & Chief Accounting Officer
- Amir HermelinVP & CTO
- Dave SingletonVice President of Investor Relations
- John ChenManaging Director of China Operations
- Thomas A. BowersExecutive Vice President of Corporate Strategy
Histórico de dividendos
Dividendos por ação pagos pela Fair Isaac , por ano fiscal.
| Ano fiscal | Intermediário | Final | Especial | Total |
|---|---|---|---|---|
| FY2017 | — | — | — | $0.0400 |
| FY2016 | — | — | — | $0.0800 |
| FY2015 | — | — | — | $0.0800 |
| FY2014 | — | — | — | $0.0800 |
| FY2013 | — | — | — | $0.0800 |
Principais indicadores financeiros
Resultados divulgados pela Fair Isaac , em USD.
- Cap. de mercado
- 14,9 bi
- Receita (TTM)
- 2,4 bi
- P/L
- 23.1
- LPA (diluído, TTM)
- 30.0
- Dividend yield
- —
- Margem de lucro
- 34.1%
| Fim do ano fiscal | Receita | Resultado operacional | Lucro líquido |
|---|---|---|---|
| 2 bi | 924,9 mi | 651,9 mi | |
| 1,7 bi | 733,6 mi | 512,8 mi | |
| 1,5 bi | 642,8 mi | 429,4 mi | |
| 1,4 bi | 542,4 mi | 373,5 mi |