Fair Isaac Corp - FICO STOCK NEWS

FICO's 2024 Bank Customer Experience Survey reveals that 88% of bank customers consider customer experience equally or more important than products and services. The survey, conducted across 1,000 U.S. bank customers, shows that 33% of respondents have only changed their primary banking providers 1-2 times, indicating strong customer loyalty when expectations are met.

The study highlights a generational divide in banking preferences: 85% of customers aged 65+ prefer traditional banks, while younger demographics (53% of ages 18-24 and 55% of ages 25-35) increasingly favor digital apps. Currently, 66% of respondents use traditional banks, 21% use credit unions, and 11% use digital banks.

The survey also found that lower-income customers are more likely to use banking apps (24%) compared to medium (7%) and high-income customers (13%), suggesting digital services effectively reach untapped markets. Customer satisfaction remains high, with 39% rating their primary bank experience as 'excellent' and approximately half as 'generally good'.

FICO's UK Credit Card Market Report for November/December 2024 reveals record-high spending and balances since tracking began in 2006. Average credit card spend reached £860 in December, up 6.8% from November and 1.5% from December 2023. Average balances hit an all-time high of £1,860, 4.5% higher than December 2023.

The percentage of balance paid decreased by 3% in November and another 0.5% in December, with customers paying off 35.86% of their balance in December 2024. While missed payments generally decreased compared to 2023, balances on accounts with missed payments increased significantly. Average balances for accounts with one missed payment reached £2,255, two missed payments £2,780, and three missed payments £3,190.

Cash withdrawals using credit cards declined for the third consecutive month, reaching 3.19% in December 2024. The data suggests continued inflation could impact consumer affordability through 2025.

FICO reported strong Q1 fiscal 2025 results with revenue reaching $440.0 million, up 15% from $382.1 million in the prior year. GAAP earnings were $6.14 per share, compared to $4.80 in the previous year, while non-GAAP EPS reached $5.79.

Scores revenues increased 23% to $235.7 million, with B2B revenue up 30% due to higher unit prices and increased mortgage originations. B2C revenue grew 3%. Software revenues rose 8% to $204.3 million, driven by recurring and license revenue growth. Software Annual Recurring Revenue increased 6%, with platform ARR growing 20%.

The company reaffirmed its fiscal 2025 guidance, projecting revenues of $1.98 billion, GAAP EPS of $25.05, and non-GAAP EPS of $28.58.

FICO and Affirm have released findings from a groundbreaking 12-month study analyzing the impact of including 'Buy Now, Pay Later' (BNPL) loans in FICO® Scores. The research, which examined over 500,000 consumers with Affirm BNPL loans, revealed that FICO's innovative treatment of BNPL data can lead to score improvements for some borrowers while enhancing model performance.

Key findings show that for over 85% of consumers, score impacts were within +/- 10 points. Notably, consumers with five or more Affirm BNPL loans experienced higher scores or no changes. FICO developed a proprietary approach that aggregates multiple BNPL loans when calculating certain variables, effectively capturing predictive signals while potentially increasing scores for some BNPL users.

Based on these results, FICO is developing a solution to implement its proprietary treatment of BNPL data in the credit-scoring marketplace.

FICO has announced that an Amazon research team received recognition in the 2024 FICO® Xpress Best Paper Award competition for their groundbreaking optimization research. The team's paper, published in the European Journal of Operational Research, demonstrates how to optimize large-scale delivery networks using FICO® Xpress Solver.

The research addresses the challenges of modern online retail delivery networks by developing a sophisticated heuristic approach that can handle thousands of origins and destinations, along with over 100,000 commodities. The solution involves processing approximately half a billion variables and constraints, significantly advancing the field beyond previous research that was to hundreds of origins, destinations, and commodities.

Led by Cristiana L. Lara of Amazon's Modeling and Optimization group, the team utilized FICO® Xpress Solver's powerful optimization engine and API to develop their mixed-integer programming model. This breakthrough has direct applications for businesses operating large distribution networks and builds upon resource-task networks commonly used in chemical engineering process design.

FICO's 2024 Scams Impact Survey reveals significant findings about real-time payments (RTP) and fraud in Canada. The survey shows that 91% of Canadian consumers have used RTP, with 87% planning to maintain or increase usage in the next 12 months.

Key findings indicate that 69% of consumers would view their banks positively if they proactively stopped suspicious RTP transactions identified as scams. The survey highlights increasing fraud concerns, with 83% of Canadians receiving potential scam communications and 44% reporting family or friends as scam victims, a 5% increase from 2023.

Notably, 6% of Canadian scam victims reported losses exceeding C$10,000, six times higher than in 2023. Consumer priorities for bank actions include better fraud detection systems (48%), increased scam alerts (18%), and declining high-risk payments (12%). The study warns that 12% of Canadians would switch banks if dissatisfied with scam management.

Yapı Kredi (YKB), a Turkish bank, has achieved remarkable success in fraud prevention using FICO® Falcon® Fraud Manager, reducing fraud losses by 98.7% over seven years. The bank maintains Turkey's lowest card fraud ratio, 50% lower than its peers, while processing 40 million daily transactions and detecting approximately 500 potential fraud cases.

The bank enhanced its fraud detection capabilities by implementing over 1,000 fraud detection rules and custom machine learning models, achieving a false positive ratio of 10:1, significantly improved from the previous 30:1. The system operates with a 99.98% success rate and processes transactions in just 4 milliseconds.

For these achievements, YKB won a 2025 FICO® Decision Award for Fraud Management. The bank successfully adapted its fraud prevention system to new payment channels, including cryptocurrency transfers and open banking.

FICO (NYSE:FICO) has been awarded the 2025 BIG Innovation Award in the software category for its groundbreaking implementation of blockchain technology in AI governance. The company's innovative approach enables comprehensive tracking of machine learning models throughout their lifecycle, establishing new standards for transparency and accountability in AI systems.

The technology represents the first end-to-end solution for tracking AI model provenance, ensuring compliance with responsible AI standards and regulatory requirements. According to Russ Fordyce, CEO of the Business Intelligence Group, FICO's blockchain-powered AI solution is revolutionizing decision-making and model governance in the industry.

Dr. Scott Zoldi, FICO's chief analytics officer, emphasized that this recognition validates their efforts to integrate blockchain technology into AI model governance, enabling organizations to make more responsible and compliant AI-driven decisions. The 2025 BIG Innovation Awards recognized 40 companies and 77 products in total, with winners selected by a panel of business leaders based on creativity, measurable results, and overall impact.

FICO announced that researchers Bjørnar Luteberget and Giorgio Sartor from SINTEF won the 2024 FICO® Xpress Best Paper Award for developing the 'Feasibility Jump' algorithm. This innovative solution can find answers to complex optimization problems with millions of variables in seconds, significantly faster than traditional methods.

The algorithm has been integrated into FICO® Xpress Solver and can perform up to a million variable assignments per second on a modern laptop. This represents a major improvement, reducing solution times from minutes to seconds. The algorithm bypasses the need for initial Linear Programming solutions in Mixed-Integer Programming (MIP) problems through a Lagrangian relaxation heuristic approach.

The winning paper was published in Mathematical Programming Computation 15.2 (2023). FICO® Xpress Solver is recognized as one of the fastest optimization solvers, serving applications in supply chain optimization, energy, and pricing.