FAIR ISAAC CORP

FAIR ISAAC CORP

Fair Isaac Corporation (FICO) is best known for the FICO Score, a widely used credit-scoring metric, and for its analytics and decision-management software used by banks, insurers, retailers and government agencies. The company sells a mix of software licences, cloud-based subscriptions, analytics services and consulting, giving it recurring revenue elements and high margins. Key growth drivers include digital lending, fraud prevention demand, adoption of cloud decisioning, and the use of alternative data and machine learning to refine risk models. Investors should note exposure to credit-cycle sensitivity — demand for scoring and decision tools can ebb and flow with lending activity — and regulatory scrutiny over scoring and data use. Competition from other analytics and fintech firms, and operational risks like cyber incidents, are additional considerations. This summary is educational and not personalised advice; values can rise or fall and any investment should be considered against your goals and risk tolerance.

Why It's Moving

FAIR ISAAC CORP

FICO Stock Caught Between Analyst Optimism and Recent Valuation Concerns as Wall Street Reassesses Fair Isaac's Growth Story

Fair Isaac Corporation faces mixed investor sentiment as Wall Street analysts maintain bullish outlooks with price targets suggesting 28-88% upside, yet the stock has experienced significant volatility in 2026 amid questions about sustainable growth and competitive pressures. Analysts attribute potential gains to normalized 40% EPS growth expectations and free cash flow improvements, but recent revenue guidance disappointments and competitive threats from alternative credit scoring models have sparked reassessment of the company's premium valuation.
Sentiment:
🌋Volatile
  • Analysts project median 12-month price targets ranging from $1,600 to $2,137, implying 28-88% upside potential, with consensus ratings weighted toward Buy (10 Buy to 4 Hold ratings across major banks), though one analyst flagged the stock as previously overvalued with downside risks materializing through February 2026
  • Q1 2026 earnings beat expectations with 16% year-over-year revenue growth, yet shares declined as investors reassessed whether growth rates can sustain at levels priced into analyst targets, particularly given credit bureau sector headwinds
  • Competitive pressure intensified as Equifax introduced lower-priced VantageScore alternatives and the Federal Housing Finance Agency criticized industry pricing practices, raising questions about FICO's ability to maintain pricing power and defend its dominant market position against emerging alternatives

When is the next earnings date for FAIR ISAAC CORP (FICO)?

Fair Isaac (FICO) is scheduled to report its Q2 fiscal 2026 earnings after market close on Tuesday, April 28, 2026, followed by a conference call at 4:30 p.m. ET. This release will cover the quarter ending March 2026, aligning with the company's historical late-April pattern for second-quarter results. As of today, this represents the immediate next earnings event for investors to monitor.

Stock Performance Snapshot

Buy

Analyst Rating

Analysts recommend buying Fair Isaac's stock with a target price of $2,015.47, indicating strong potential growth.

Above Average

Financial Health

Fair Isaac Corp is performing well with strong profits and cash flow, indicating financial stability.

Source: Analyst sentiment is provided by Refinitiv Ltd, a global leader in financial market data with over 40k business clients. Refinitiv Ltd is an independent third party to Nemo. This is not advice.

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Why You’ll Want to Watch This Stock

📈

Recurring Revenue Shift

FICO has been shifting toward cloud subscriptions and recurring fees, which can smooth revenue, though performance can vary with client adoption and market cycles.

🌍

Global Demand For Scoring

Lenders and insurers worldwide rely on scoring and analytics, offering geographic growth potential, but regulatory regimes and data rules differ by market.

Analytics & Innovation

Investment in machine learning and alternative data can enhance competitive position, while cyber and model-risk require careful oversight.

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