Tighter Data Privacy And DeFi Disruption Will Undermine Credit Models

Key Takeaways

• Intensifying regulatory, technological, and competitive pressures are threatening Fair Isaac's traditional credit scoring business, leading to risks of reduced growth, relevance, and pricing power.
  
• Rising costs from compliance and innovation, combined with dependence on key partners, heighten margin pressure and create significant revenue and earnings instability.
  
• Sustained innovation, growing SaaS adoption, international expansion, and strategic partnerships position the company for durable competitive strength and increasingly diversified, predictable revenue streams.

Catalysts

Develops software with analytics and digital decisioning technologies that enable businesses to automate, enhance, and connect decisions in the Americas, Europe, the Middle East, Africa, and the Asia Pacific.

• Global regulatory trends are shifting towards tighter data privacy and use restrictions, including anticipated U.S. regulations similar to GDPR, which are likely to limit the data inputs available for FICO's analytics and credit scoring models, undermining their accuracy, reducing their relevance to lenders, and leading to lower future revenues and slower growth in the core Scores segment.
  
• The rapid evolution of decentralized finance (DeFi), cryptocurrencies, and peer-to-peer lending platforms is facilitating alternative forms of credit assessment that bypass traditional FICO scores altogether, directly eroding Fair Isaac's total addressable market and threatening both top-line growth and long-term earnings power.
  
• Persistent criticism and rising opposition among consumers, regulators, and financial institutions over legacy credit scoring models-deemed to contain embedded biases and lack of transparency-are accelerating the shift toward new, open, or customizable models, weakening FICO's pricing power and raising the risk of revenue stagnation or even contraction.
  
• Investment pressures are mounting as Fair Isaac is forced to spend heavily to upgrade technology infrastructure, meet stricter compliance requirements, and keep pace with AI innovation and cybersecurity obligations; this sustained cost inflation is likely to compress net margins and permanently reduce profitability.
  
• Major credit bureaus and lenders contribute an outsized share of FICO's revenue, and should just one such partner transition to a proprietary or alternative model-a risk heightened by the proliferation of competing fintech solutions-FICO would suffer a material loss of income, amplifying variability in both revenue and earnings.

Fair Isaac Future Earnings and Revenue Growth

Assumptions

• This narrative explores a more pessimistic perspective on Fair Isaac compared to the consensus, based on a Fair Value that aligns with the bearish cohort of analysts.
• The bearish analysts are assuming Fair Isaac's revenue will grow by 13.0% annually over the next 3 years.
• The bearish analysts assume that profit margins will increase from 31.4% today to 38.0% in 3 years time.
• The bearish analysts expect earnings to reach $1.0 billion (and earnings per share of $33.82) by about June 2028, up from $577.1 million today. The analysts are largely in agreement about this estimate.
• In order for the above numbers to justify the price target of the more bearish analyst cohort, the company would need to trade at a PE ratio of 39.2x on those 2028 earnings, down from 76.1x today. This future PE is lower than the current PE for the US Software industry at 40.7x.
• Analysts expect the number of shares outstanding to decline by 0.72% per year for the next 3 years.
• To value all of this in today's terms, we will use a discount rate of 8.0%, as per the Simply Wall St company report.

Fair Isaac Future Earnings Per Share Growth

Risks

• Accelerating innovation and continuous rollout of advanced credit scoring models like FICO Score 10 T and ongoing development toward FICO 11 suggests the company is maintaining its technological edge, which can drive sustained revenue growth and further strengthen its competitive moat in the long term.
  
• Strong adoption momentum and expanding client base for FICO's SaaS platform and software offerings, evidenced by high platform net retention rates and robust bookings, indicate increasing recurring revenue streams and improving revenue predictability.
  
• International expansion initiatives, such as launching a Kenya-specific FICO Score and forming new strategic partnerships in markets like Japan, point to the potential for significant top-line growth and increased revenue diversification away from the U.S. market.
  
• Secular industry trends toward greater digitalization of financial services and regulatory emphasis on responsible, data-driven lending create long-term tailwinds for advanced analytics and decisioning platforms, supporting demand and helping to protect or enhance future net margins.
  
• Ongoing investment in expanding indirect sales channels and partnerships, shown by new deals and cross-industry extensions (for example, insurance innovations with dacadoo), increases addressable markets and could deliver incremental earnings while reducing over-reliance on a single customer segment.

Valuation

• The assumed bearish price target for Fair Isaac is $1364.0, which represents the lowest price target estimate amongst analysts. This valuation is based on what can be assumed as the expectations of Fair Isaac's future earnings growth, profit margins and other risk factors from analysts on the more bearish end of the spectrum.
  
• However, there is a degree of disagreement amongst analysts, with the most bullish reporting a price target of $3700.0, and the most bearish reporting a price target of just $1364.0.
  
• In order for you to agree with the bearish analysts, you'd need to believe that by 2028, revenues will be $2.7 billion, earnings will come to $1.0 billion, and it would be trading on a PE ratio of 39.2x, assuming you use a discount rate of 8.0%.
  
• Given the current share price of $1804.82, the bearish analyst price target of $1364.0 is 32.3% lower. Despite analysts expecting the underlying buisness to improve, they seem to believe the market's expectations are too high.
  
• We always encourage you to reach your own conclusions though. So sense check these analyst numbers against your own assumptions and expectations based on your understanding of the business and what you believe is probable.