Valuation method | Value, $ | Upside, % |
---|---|---|
Artificial intelligence (AI) | 115.49 | -56 |
Intrinsic value (DCF) | 50.41 | -81 |
Graham-Dodd Method | n/a | |
Graham Formula | 102.52 | -61 |
Verisk Analytics, Inc. (NASDAQ: VRSK) is a leading global data analytics provider specializing in predictive analytics and decision support solutions across insurance, energy, financial services, and specialized markets. Founded in 1971 and headquartered in Jersey City, New Jersey, Verisk leverages artificial intelligence, machine learning, and proprietary datasets to help clients assess risk, detect fraud, optimize operations, and enhance regulatory compliance. The company operates through three key segments: Insurance (catastrophe modeling, underwriting, and claims analytics), Energy & Specialized Markets (commodity intelligence, asset valuation, and advisory services), and Financial Services (fraud detection, credit risk assessment, and payment analytics). With a market cap exceeding $43 billion, Verisk serves a blue-chip client base, including insurers, financial institutions, energy firms, and government agencies. Its deep industry expertise, vast data repositories, and recurring revenue model position it as a critical infrastructure provider in risk assessment and data-driven decision-making. As industries increasingly rely on analytics for competitive advantage, Verisk’s role as a trusted third-party data validator reinforces its long-term growth potential.
Verisk Analytics presents a compelling investment case due to its entrenched position in high-margin data analytics, particularly in the insurance sector where it holds near-essential status for catastrophe modeling and underwriting. The company’s asset-light model (35%+ EBITDA margins), high customer retention, and recurring revenue (85%+ subscription-based) provide stability, while cross-selling opportunities in energy and financial services drive growth. Risks include customer concentration (top 10 clients contribute ~20% of revenue), regulatory scrutiny over data privacy, and competition from insurtechs developing in-house analytics. Valuation multiples (EV/EBITDA ~25x) reflect premium pricing for its defensive qualities, but earnings growth (~8% YoY) justifies its position as a low-volatility play on data secular trends. The 1.6% dividend yield and consistent FCF generation ($1.1B operating cash flow in 2023) support capital returns.
Verisk’s competitive advantage stems from its unparalleled data moats, particularly in insurance, where its ISO (Insurance Services Office) subsidiary maintains proprietary claims databases covering 98% of U.S. P&C insurance activity. This creates a network effect—insurers contribute data to improve models, which in turn become industry standards. In energy, its Wood Mackenzie acquisition provides differentiated commodity intelligence, while financial services benefit from partnerships with payment networks like Visa. Competitors often focus on niche segments (e.g., CoreLogic in property analytics), but Verisk’s integrated platform across underwriting, claims, and compliance is unmatched. However, the rise of open-data initiatives and insurtechs (e.g., Lemonade’s AI-driven underwriting) poses disruption risks. Verisk counters this by embedding its analytics into customer workflows—70% of top U.S. insurers use its tools for rate filings. Its R&D spend (9% of revenue) focuses on AI-enhanced models, such as aerial imagery for property risk scoring, maintaining technological leadership. The Energy segment’s consulting services face competition from pure-play firms like Rystad, but Verisk’s integration with financial data provides holistic advisory capabilities. Financial Services competes with Fair Isaac (FICO) in credit scoring but distinguishes itself via real-time fraud detection for payment processors.