Verisk Analytics, Inc. (VRSK) Stock Research Report

Verisk is the indispensable data utility for P&C insurance—now compounding that moat with AI-driven automation and heavy buybacks, with privacy regulation the only true existential risk.

Executive Summary

Verisk is a dominant, high-margin insurance analytics and data infrastructure company that functions as a “system of record” for much of U.S. P&C insurance. Built from the legacy ISO utility, it controls massive proprietary datasets (~30+ PB; tens of billions of premium/loss records; ~1.9B claims) and monetizes them primarily through underwriting and claims solutions. The business is exceptionally durable: ~84% of revenue is subscription-based under long-term contracts, with most revenue still U.S.-centric (~83%) but with active international push via cat/reinsurance modeling. Core products (ISO forms/loss costs; Xactimate; ClaimSearch) are industry standards, protected by contributory data network effects, deep workflow integration, and regulatory relationships. After divesting Marketing Solutions (Dec 2025), Verisk is now a pure-play insurance analytics platform, positioning to benefit from accelerating AI/automation across the insurance value chain.

Full Research Report

Verisk Analytics Inc (VRSK) Investment Analysis:

1. Executive Summary:

Verisk Analytics Inc. (VRSK) functions as the central nervous system of the global property and casualty (P&C) insurance industry, providing the essential data architecture and analytical tools required to quantify and manage risk. Originally established in 1971 as a non-profit advisory organization—the Insurance Services Office (ISO)—Verisk has evolved into a sophisticated, high-margin technology powerhouse that dominates the U.S. insurance data landscape.[1, 2] The company’s core utility is derived from its massive scale and the proprietary nature of its data assets, which include over 30 petabytes of information, 39 billion premium and loss records, and 1.9 billion claims.[3]

Revenue generation is primarily structured around two dominant segments: Underwriting and Claims. As of the first quarter of 2026, the company’s business model is characterized by extreme durability, with approximately 84% of total revenues derived from long-term subscription contracts.[4, 5] Geographically, Verisk remains a predominantly domestic entity, with 83% of its revenue sourced from the United States, although it is aggressively pursuing expansion in the United Kingdom, Continental Europe, and the Asia-Pacific regions through its catastrophe modeling and reinsurance solutions.[1, 6]

Verisk’s core products represent industry standards: the ISO business provides the foundational forms, rules, and "loss costs" used by nearly every U.S. insurer to file and price policies with state regulators, while the Xactimate platform serves as the primary tool for property repair estimation in the claims process.[1] Primary customers include the top 100 U.S. P&C insurance providers, reinsurers, and an expanding network of brokers and specialty carriers.[7] Customers choose Verisk over alternatives due to the "contributory data" model, where participants provide their own data in exchange for aggregated industry insights—a system that creates a massive network effect and a moat that is virtually impossible for new entrants to replicate.[1, 8]

Revenue Pillar Description Contribution
Underwriting Solutions Actuarial loss costs, policy forms, and catastrophe models for risk assessment. ~70% of Revenue
Claims Solutions Property estimation, anti-fraud platforms, and casualty analytics. ~30% of Revenue
Subscription Model Recurring revenue from multi-year data and software access. 84% of Total
Transactional Model Volume-based fees for reports and inspections, sensitive to weather events. 16% of Total

Following a strategic period of portfolio refinement, including the divestiture of its Marketing Solutions unit in December 2025 and earlier exits from energy and financial services, Verisk is now a pure-play insurance analytics company.[5, 9] This focused approach is designed to align the company’s capital and talent with the rapid adoption of Artificial Intelligence (AI) and automation within the global insurance value chain.[4, 10] Indispensable Industry Infrastructure.

2. Business Drivers & Strategic Overview:

The strategic orientation of Verisk Analytics is defined by its "Core Lines Reimagine" initiative, a comprehensive effort to digitally transform the traditional workflows of the insurance industry.[4] By moving away from manual, legacy systems toward automated, AI-driven platforms, Verisk is positioning itself to capture a larger share of the insurance technology stack while improving the operational efficiency of its clients.

Product and Service Architecture

To understand Verisk’s value proposition, one must examine the specific mechanics of its offerings across the insurance lifecycle. In the underwriting phase, Verisk provides the ISO "loss costs," which are statistically derived estimates of future claims costs.[1] These are not final premiums, but rather the foundational component that insurers use to build their own rates, incorporating their specific overhead and profit targets. Verisk manages the complex regulatory filings associated with these costs across all 50 U.S. states, a task that would be prohibitively expensive for most individual insurers to handle independently.[1, 11]

In the catastrophe and risk segment, Verisk utilizes sophisticated geophysical and structural engineering models to quantify the impact of extreme events.[1, 10] These models cover hundreds of peril-region combinations, including hurricanes, earthquakes, and emerging risks like wildfires and convective storms. These models are critical for reinsurers and primary carriers to determine their capital adequacy and the amount of risk they need to cede to the global markets.[1, 3]

The claims segment is anchored by Xactware, which provides the industry-standard software for property damage estimation.[1] When a policyholder suffers a loss, adjusters and contractors use Xactimate to calculate repair costs based on current, localized labor and material rates. This platform ensures consistency and transparency in settlements, which is vital for maintaining consumer trust and regulatory compliance. Furthermore, the ISO ClaimSearch platform acts as a central clearinghouse for the industry, allowing insurers to detect fraudulent patterns by identifying claimants who file multiple claims for the same incident across different carriers.[6, 12]

Moat Analysis: The Power of Contributory Data

Verisk’s competitive advantage is built upon a "wide-moat" architecture that leverages several mutually reinforcing pillars:

  • Contributory Data Network Effects: The most formidable barrier to entry is Verisk’s data pool. Most of its data is not purchased from third parties but is contributed by its insurance clients under long-term agreements.[7, 8] This creates a virtuous cycle: as more insurers contribute data, the accuracy of Verisk’s models improves, which in turn attracts more participants. A new competitor would face the "cold start" problem of needing industry-wide participation to be relevant, but being unable to attract participants without already having industry-wide data.[1, 7]
  • High Switching Costs and Workflow Integration: Verisk’s tools are not merely software applications; they are embedded in the core operational workflows of the insurance industry.[1, 13] For an insurer to replace ISO loss costs or the Xactimate platform, they would need to overhaul their entire rating engine, retrain thousands of adjusters, and potentially renegotiate their regulatory filings. This creates massive inertia that protects Verisk’s existing market share.[1]
  • Regulatory and Compliance Moat: Verisk acts as a bridge between the industry and state insurance commissioners. Its forms and loss costs are pre-filed or widely accepted by regulators, providing a "safe harbor" for insurers.[1, 11] A competitor would not only need better data but would also need to build decades-long relationships with 50 different state regulatory bodies.
  • Scale and Cost Advantage: By spreading the cost of data collection and model development across thousands of clients, Verisk can provide insights at a fraction of the cost an individual insurer would incur to develop them in-house.[7] This economies-of-scale advantage is reflected in Verisk’s high operating margins.

TAM / Market Opportunity Analysis

The Total Addressable Market (TAM) for insurance analytics is expanding as carriers shift from legacy systems to cloud-native, AI-enabled environments. The global insurance analytics market was valued at approximately $19.3 billion in 2025 and is projected to reach $54.5 billion by 2034, growing at a CAGR of 13.9%.[14] Other market researchers estimate the market could reach $132 billion by 2031 if broader digital transformation and API integration accelerate.[15]

Verisk is specifically targeting growth in several high-potential areas:
* AI and Automation: With 90% of insurance professionals identifying analytics as a key driver of digital transformation, Verisk’s investments in agentic AI and computer vision (e.g., for automated roof health analysis using aerial imagery) are seeing rapid adoption, with revenue in these categories growing at over 30%.[14, 16, 17]
* Climate Change and Peril Modeling: The increasing frequency and severity of natural catastrophes—with global insured losses exceeding $100 billion for multiple consecutive years—has made granular, real-time risk modeling a "must-have" rather than a "nice-to-have" product.[1, 13]
* International Markets: While the U.S. is mature, the U.K., Europe, and Asia-Pacific regions offer significant room for expansion as global reinsurers seek standardized models across their entire portfolios.[1, 13]

Competitive Landscape and Position

While Verisk is the dominant player in the U.S. P&C analytics space, it operates in an environment of intensifying competition:

  • LexisNexis Risk Solutions (RELX): The most direct rival in personal lines underwriting data. LexisNexis leverages its extensive consumer credit and public records data to provide competing risk scores for auto and home insurance.[1] Verisk’s advantage lies in its deeper pool of specific claims data, which is more predictive of future losses than general credit data.
  • Moody’s RMS: A major competitor in the catastrophe modeling and reinsurance space. Following Moody’s acquisition of RMS in 2021, the rivalry has focused on the "convergence" of climate modeling and financial ratings.[1]
  • Core System Vendors (Guidewire, Duck Creek): These companies provide the "operating systems" for insurers. While they are strategic partners of Verisk, there is a risk of "feature creep," where they may seek to bundle their own analytics and data layers, potentially reducing the reliance on third-party providers like Verisk.[1]
  • Specialized Insurtechs: Firms like Nearmap or Cape Analytics offer niche solutions in aerial imagery or specialized peril models. Verisk has responded by aggressively investing in its own aerial imagery capabilities and property intelligence tools.[1, 13]

Verisk appears to be holding its ground in core underwriting and gaining ground in claims automation due to its superior data integration and its recent partnership with Snowflake, which allows carriers to access Verisk insights natively within their cloud data warehouses.[4, 11] Unparalleled Strategic Moat.

3. Financial Performance & Valuation:

Verisk Analytics reported its fiscal first quarter 2026 results on April 29, 2026, delivering a performance that exceeded analyst expectations on both the top and bottom lines, despite some temporary headwinds in transactional revenue.[17, 18] This report is critical as it represents the first full quarter of operations following the divestiture of the Marketing Solutions unit.

Q1 2026 Financial Results Summary

Metric Q1 2026 Actual Q1 2025 Actual Change (Reported) Change (OCC*)
Total Revenue $783 million $753 million +3.9% +4.7%
Underwriting Revenue $552 million $532 million +3.8% +5.3%
Claims Revenue $231 million $221 million +4.3% +3.4%
Adjusted EBITDA $438 million $417 million +5.0% +5.9%
Adj. EBITDA Margin 55.9% 55.3% +60 bps N/A
Diluted Adjusted EPS $1.82 $1.73 +5.2% N/A
Free Cash Flow $326 million $391 million -16.5% N/A

*OCC: Organic Constant Currency

Analysis of Performance:
The company’s revenue growth was anchored by a 7% increase in subscription revenues, which now represent approximately 84% of total revenue.[4, 17] This growth was driven by strong price realization in core forms and loss cost products, as well as double-digit growth in Life Solutions and Casualty analytics.[4, 19] However, transactional revenue declined by 6.1% OCC, primarily due to lower weather-related activity compared to a strong Q1 2025 and a work stoppage on a federal government contract.[4, 16]

Earnings per share (EPS) of $1.82 surpassed the analyst consensus of $1.74 by 4.6%, marking a significant "beat".[4, 17] This was supported by a 60 basis point expansion in Adjusted EBITDA margins to 55.9%, demonstrating the company’s ability to drive operating leverage through cost discipline and "global talent optimization," even while increasing R&D spend on AI.[4, 17]

Management Guidance and Commentary:
Management reaffirmed its full-year 2026 guidance, projecting total revenue between $3.19 billion and $3.24 billion and Adjusted EBITDA between $1.79 billion and $1.83 billion.[4, 19, 20] Notably, the company anticipates that Q1 was the "growth trough" for the year and expects gradual improvement as weather-related headwinds abate and new AI products gain further traction.[4, 16]

2026 Guidance Metric Low High
Total Revenue $3,190 million $3,240 million
Adjusted EBITDA $1,790 million $1,830 million
Adj. EBITDA Margin 56.0% 56.5%
Diluted Adjusted EPS $7.45 $7.75
Net Interest Expense $190 million $200 million

CFO Elizabeth Mann highlighted that the company returned over $1.69 billion to shareholders during the quarter through dividends and a $1.5 billion accelerated share repurchase (ASR) program, which resulted in the retirement of 7.6 million shares.[4, 19] This aggressive buyback was funded by $1.0 billion in new senior notes and a $500 million term loan, bringing leverage to 2.4x Net Debt/Adjusted EBITDA—well within the target range of 2.0x-3.0x.[4, 17]

Market Reaction and Valuation Drivers

The stock price reacted positively to the earnings release, rising by 4.78% in pre-market trading to reach $185.10.[17] This movement reflects investor confidence in the durability of the subscription model and the company’s ability to maintain margins despite inflationary pressures. Analysts at major firms like Wells Fargo and RBC Capital have maintained "Overweight" or "Outperform" ratings, with price targets generally ranging from $230 to $270.[21, 22, 23]

Key Financial Drivers for Valuation:
* 5-Year Historical Revenue CAGR: Approximately 6.6% to 7.5%, with a notable transition toward higher-quality subscription revenue.[24, 25]
* Margin Trajectory: Target of 25-75 basis points of annual expansion.[26]
* Capital Return Profile: A new target to return at least 75% of free cash flow to shareholders via buybacks and dividends.[26]
* Valuation Multiple: Verisk currently trades at a forward P/E of approximately 29.5x, which reflects its high-margin, recurring revenue profile and dominant market position.[22]

The valuation is intrinsically linked to the "data flywheel" of the core business. As Verisk integrates AI more deeply into carrier workflows, it creates higher value per policy analyzed, allowing for sustained price realization that outpaces general inflation. Sustained Compounding Profile.

4. Risk Assessment & Macroeconomic Considerations:

The investment case for Verisk is built on its stability, but serious investors must evaluate the potential for structural or macroeconomic shifts that could impair its long-term compounding ability.

Company-Specific Execution Risks

The primary internal risk involves the AI Product Lifecycle and Sales Execution. Management noted that while adoption of AI tools is strong, larger contract renewals are becoming more complex as insurers scrutinize the ROI and regulatory implications of "agentic" AI.[4, 17] If Verisk fails to demonstrate clear productivity gains for its clients, it may face pressure on its historically high retention rates or pricing power.

A second execution risk stems from Acquisition and Integration Friction. The termination of the $2.35 billion AccuLynx deal in late 2025 following FTC delays serves as a warning.[27, 28] The subsequent dispute with AccuLynx management over the validity of the termination creates a potential litigation overhang and suggests that inorganic growth into adjacent niches (like roofing or construction) may be more difficult than previously assumed.[27, 29]

Competitive and Industry Structure Risks

  • Intermediation by Core Platforms: If vendors like Guidewire successfully build "good enough" analytics directly into their policy administration systems, it could disintermediate Verisk from the end-user adjuster or underwriter. While Verisk’s data is superior, convenience and "one-stop-shop" bundling by platform vendors are constant threats.[1]
  • Substitute Risk from Reinsurers: Large global reinsurers (e.g., Swiss Re, Munich Re) possess their own proprietary catastrophe models and often provide them to their primary carrier clients for free or as part of a reinsurance treaty.[1] This could cap Verisk’s growth in the international catastrophe modeling segment.

Regulatory and Legal Risks

  • Data Privacy and Contributory Model Legality: Verisk’s entire business model relies on the ability to aggregate and share data across the industry. While Verisk currently qualifies as a "service provider" under the CCPA, a shift in federal or state law that restricts the use of "contributory databases" would be an existential threat.[12]
  • AI Liability and "Data Poisoning": As Verisk’s models become more automated, the company faces potential liability if a flawed algorithm leads to systemic mispricing or unfair claims settlements across the industry.[30, 31] Furthermore, the risk of "data poisoning"—where biased or incorrect data is fed into industry models—could damage the credibility of Verisk’s core benchmarks.[30]

Macroeconomic Sensitivities

  • Interest Rate and Debt Servicing: Verisk has significantly increased its debt load to fund share repurchases, with a projected interest expense of nearly $200 million for 2026.[4] A "higher-for-longer" interest rate environment would reduce the accretive impact of future buybacks and limit the company’s ability to pursue large-scale M&A.
  • "Social Inflation" and Nuclear Verdicts: Rising litigation costs and massive jury awards (nuclear verdicts) impact the profitability of P&C insurers.[31, 32] While this increases the demand for Verisk’s analytics to manage these costs, it can also lead to a "hard market" where carriers have less discretionary budget for new technology projects if their own combined ratios are under pressure.
  • Geopolitical and Economic Volatility: Global risks like geoeconomic confrontation and interstate conflict can disrupt the reinsurance markets and affect the premium volumes that drive Verisk’s transactional revenue.[32, 33]

Early Warning Signs and Long-Term Thesis Damage

Risk Category Early Warning Sign Critical Thesis Damage
Moat Erosion A Top 5 U.S. carrier publicly switching to a rival for core underwriting data. Loss of the "contributory data" network effect.
Growth Ceiling Sustained OCC revenue growth falling below 5% for three consecutive quarters. Indicates the "Core Lines Reimagine" project has stalled.
Financial Risk Net Debt / EBITDA leverage exceeding 3.5x without an acquisition. Signals a breakdown in capital allocation discipline.
Regulatory Introduction of a federal law mimicking the "right to be forgotten" for insurance records. Destroys the historical predictive power of the claims databases.

The most significant long-term risk is regulatory intervention that limits the sharing of insurance data between carriers, as this would strike at the very heart of Verisk’s competitive advantage. Monitor Privacy Legislation.

5. 5-Year Scenario Analysis:

This scenario analysis projects the potential investment returns for Verisk Analytics through fiscal year 2030. The model is anchored by the Q1 2026 performance and management's long-term financial targets.[4, 26]

Key Model Inputs (Baseline 2026 Estimates)

  • Current Share Price: $185.10.[17]
  • Estimated 2026 Adj. EPS: $7.60 (midpoint of guidance).[4]
  • Current Shares Outstanding: ~130 million (post-ASR initial impact).[4, 7]
  • Target Capital Return: 75% of FCF to shareholders.[26]

Base Case: The Consistent Compounder (65% Probability)

In this scenario, Verisk executes precisely on its Investor Day targets. Subscription revenue remains the primary driver, growing at a steady 7-8% OCC as carriers continue their digital transformation.[1, 26] AI-driven products like "ExactGen" become standard across the claims industry.
* Revenue Growth: 7.5% CAGR (2026-2030).
* Margin Expansion: 50 bps annually, reaching a 58.5% Adjusted EBITDA margin by 2030.
* Share Count Reduction: 3% annual reduction through disciplined buybacks.
* Valuation Multiple: 28x Forward P/E (aligned with historical averages).
* Proj. 2030 EPS: $12.40.
* Proj. 2030 Share Price: $347.20.

High Case: The AI Multiplier (20% Probability)

This case assumes that "Core Lines Reimagine" accelerates beyond expectations. International expansion in Asia and Europe picks up pace due to a surge in climate-related peril modeling demand.[13] Higher margins are realized as software-led automation replaces labor-intensive data collection.
* Revenue Growth: 9.5% CAGR.
* Margin Expansion: 75 bps annually, reaching a 60% Adjusted EBITDA margin by 2030.
* Share Count Reduction: 4% annual reduction (aided by higher cash flows).
* Valuation Multiple: 32x Forward P/E (reflecting a "Tech Premium").
* Proj. 2030 EPS: $15.80.
* Proj. 2030 Share Price: $505.60.

Low Case: The Stagnant Specialist (15% Probability)

In this scenario, regulatory pushback on data privacy limits the effectiveness of contributory databases.[12, 30] Increased competition from core system vendors (Guidewire/Duck Creek) prevents price increases, and higher interest rates permanently increase debt servicing costs.[1, 4]
* Revenue Growth: 4.0% CAGR.
* Margin Expansion: Flat (56% margin) as increased AI investment is offset by pricing pressure.
* Share Count Reduction: 1% annual reduction (limited by higher debt and interest).
* Valuation Multiple: 22x Forward P/E (Multiple compression due to slower growth).
* Proj. 2030 EPS: $9.15.
* Proj. 2030 Share Price: $201.30.


5-Year Share Price Trajectory Table

Scenario 2026 EPS 2028 EPS 2030 EPS Exit P/E 2030 Price 5-Yr Total Return Annualized Return Probability
High Case $7.75 $11.10 $15.80 32x $505.60 173.1% 22.3% 20%
Base Case $7.60 $9.70 $12.40 28x $347.20 87.6% 13.4% 65%
Low Case $7.45 $8.20 $9.15 22x $201.30 8.8% 1.7% 15%
Weighted $7.61 $9.76 $12.59 27.9x $356.99 92.8% 14.0% 100%

Probability-Weighted 5-Year Price Target: $356.99

Summary Analysis: The base case suggests a very attractive annualized return of 13.4%, which is supported by the highly predictable nature of Verisk’s subscription cash flows. Even the low case results in a positive (albeit modest) total return, highlighting the "defensive growth" characteristics of the stock. The weighted target suggests nearly a doubling of the share price over the five-year horizon. Robust Defensive Growth.

6. Qualitative Scorecard:

The following scores represent a subjective assessment based on primary data from 2025-2026 fiscal filings and recent management performance.[4, 5, 34]

Metric Score (1-10) Narrative
Management Alignment 8 Incentives are heavily weighted toward OCC revenue and EBITDA growth. While there was a minor insider sale by the CFO ($81k), it was part of a 10b5-1 plan and was outweighed by the massive $1.5B share buyback authorization.[21, 35]
Revenue Quality 10 84% subscription revenue with mid-to-high 90s retention is arguably the highest quality in the information services sector.[1, 13]
Market Position 9 Dominant in U.S. P&C. While RELX competes in auto data, Verisk’s monopoly on regulatory-grade forms and property claims data remains intact.[1]
Growth Outlook 7 Near-term "trough" in Q1 2026 due to divestiture and weather impacts, but AI-driven expansion and the Life/Specialty segment pivot provide a credible long-term growth engine.[4, 16]
Financial Health 7 Leverage at 2.4x is comfortable, but the recent $1.5B debt issuance for buybacks has increased interest expense, reducing the immediate "margin for error" on cash flow.[4, 17]
Business Viability 9 Highly durable business model. The primary threat is regulatory (data privacy), but Verisk’s role as a "service provider" to the industry offers a significant legal buffer.[1, 12]
Capital Allocation 9 Excellent discipline. Management is returning 75% of FCF to shareholders and demonstrated significant restraint by walking away from the AccuLynx deal when regulatory hurdles and valuations became unattractive.[26, 27]
Analyst Sentiment 8 Consensus "Moderate Buy" with upward price target revisions following the Q1 beat.[22, 23] Sentiment is improving as the divestiture headwind is now fully understood.
Profitability 10 56% Adjusted EBITDA margins are world-class. Operating leverage remains strong even with significant AI R&D investment.[4, 34]
Track Record 9 Consistent outperformance of EPS targets for five consecutive quarters and a strong history of dividend growth.[17, 36]

Overall Blended Score: 8.8 / 10

QUALITY COMPOUNDING ARCHITECTURE.

7. Conclusion & Investment Thesis:

Verisk Analytics represents a classic "wide-moat" investment opportunity that is currently trading at a valuation that may not fully reflect its long-term potential as an AI-driven automation provider. The investment thesis is centered on the irreversibility of insurance digitization and the proprietary nature of Verisk’s data.

Core Theses:
1. Subscription-Led Stability: In an era of economic uncertainty, Verisk’s 84% recurring revenue model provides a highly predictable earnings floor that is superior to most of its technology peers.[5]
2. The "Data Flywheel" as an AI Barrier: Competitors can build AI models, but they cannot easily replicate the 30 petabytes of contributory claims data required to train them effectively for insurance use cases.[3, 8]
3. Aggressive Capital Return: The retirement of 7.6 million shares in a single quarter through the ASR program demonstrates management’s commitment to driving EPS growth through financial engineering as much as operational excellence.[4, 19]

Key Catalysts:
* International Scale-Up: Winning a major European or Asian carrier for catastrophe modeling would validate the global growth narrative.[1]
* AI Productivity Gains: Evidence that AI-led claims automation is leading to further margin expansion toward the 60% level.
* Macro Recovery: A normalization of weather patterns and a stabilization of interest rates would improve transactional revenue and FCF margins.

Summary Conclusion: While near-term transactional headwinds and higher interest expenses exist, the structural dominance of Verisk in the U.S. insurance ecosystem remains unchallenged. The company’s pivot to a pure-play analytics firm, combined with its aggressive capital return strategy, makes it a compelling vehicle for long-term capital appreciation. DOMINANT DATA MONOPOLY.

8. Technical Analysis, Price Action & Short-Term Outlook:

Verisk’s stock ($185.10) is currently trending below its 200-day moving average of $207.56, reflecting a period of technical weakness throughout early 2026.[22] However, the recent 4.78% jump on high volume following the Q1 earnings beat suggests a "bottoming" process may be underway.[17] Short-term outlook is neutral-to-bullish, as the $1.5 billion ASR program will provide a continuous support level for the share price over the next several months, effectively acting as a price floor.[19] TECHNICAL BOTTOM FORMING.


  1. What is Competitive Landscape of Verisk Analytics Company? - Porter's Five Forces, https://portersfiveforce.com/blogs/competitors/verisk
  2. Verisk beats first-quarter estimates on strong demand for its analytics - WIXX, https://wixx.com/2026/04/29/verisk-beats-first-quarter-estimates-on-strong-demand-for-its-analytics/
  3. Verisk Reports Fourth-Quarter and Full-Year 2025 Financial Results, https://www.verisk.com/company/newsroom/verisk-reports-fourth-quarter-and-full-year-2025-financial-results/
  4. Verisk (VRSK) Q1 2026 Earnings Call Transcript | The Motley Fool, https://www.fool.com/earnings/call-transcripts/2026/04/29/verisk-vrsk-q1-2026-earnings-call-transcript/
  5. Verisk (VRSK) Q4 2025 Earnings Call Transcript | The Motley Fool, https://www.fool.com/earnings/call-transcripts/2026/02/18/verisk-vrsk-q4-2025-earnings-call-transcript/
  6. Is Verisk Analytics (VRSK) 42.8% Undervalued After Q1 2026 Earni - GuruFocus, https://www.gurufocus.com/news/8826393/is-verisk-analytics-vrsk-428-undervalued-after-q1-2026-earnings-eps-173-vs-166-est-beat-revenue-783m-vs-77142m-est-beat-gf-score-82100
  7. VERISK ANALYTICS, INC., https://s29.q4cdn.com/767340216/files/doc_financials/2025/q4/4Q25-10-K.pdf
  8. Verisk beats first-quarter estimates on strong demand for analytics - Business Insurance, https://www.businessinsurance.com/verisk-beats-first-quarter-estimates-on-strong-demand-for-analytics/
  9. VRSK News Today | Why did Verisk Analytics stock go up today? - MarketBeat, https://www.marketbeat.com/stocks/NASDAQ/VRSK/news/
  10. Verisk Analytics reports Q1 2026 revenue $783M, adjusted EPS $1.82, adjusted EBITDA $438M - TradingView, https://www.tradingview.com/news/tradingview:4e71c0ecfba7b:0-verisk-analytics-reports-q1-2026-revenue-783m-adjusted-eps-1-82-adjusted-ebitda-438m/
  11. Innovation Meets Expertise: A Smarter Path to Statistical Compliance - Verisk, https://www.verisk.com/blog/innovation-meets-expertise-a-smarter-path-to-statistical-compliance/
  12. ISO Claims Solutions & CCPA FAQ's | Verisk, https://www.verisk.com/privacy-policies/iso-claims-solutions-ccpa-faqs/
  13. What is Competitive Landscape of Verisk Analytics Company? - Matrix BCG, https://matrixbcg.com/blogs/competitors/verisk
  14. Insurance Analytics Market Size | Growth Analysis Report [2034] - Fortune Business Insights, https://www.fortunebusinessinsights.com/insurance-analytics-market-108489
  15. Insurance Analytics Market - Trends, Analysis & Growth - Mordor Intelligence, https://www.mordorintelligence.com/industry-reports/insurance-analytics-market
  16. Verisk Analytics Q1 2026 Earnings Report - MarketBeat, https://www.marketbeat.com/earnings/reports/2026-4-29-verisk-analytics-inc-stock/
  17. Earnings call transcript: Verisk Analytics Q1 2026 earnings surpass expectations, https://www.investing.com/news/transcripts/earnings-call-transcript-verisk-analytics-q1-2026-earnings-surpass-expectations-93CH-4645583
  18. Verisk Reports First Quarter 2026 Financial Results - Stock Titan, https://www.stocktitan.net/news/VRSK/verisk-reports-first-quarter-2026-financial-e0hfo72oqtmv.html
  19. 1Q 2026 Earnings Presentation, https://s29.q4cdn.com/767340216/files/doc_financials/2026/q1/1Q-2026-Earnings-Presentation.pdf
  20. Verisk Reports First Quarter 2026 Financial Results | Markets Insider, https://markets.businessinsider.com/news/stocks/verisk-reports-first-quarter-2026-financial-results-1036078119
  21. Verisk Analytics, Inc. Stock Price: Quote, Forecast, Splits & News (VRSK) - Perplexity, https://www.perplexity.ai/finance/VRSK
  22. Verisk Analytics (NASDAQ:VRSK) Shares Up 8.3% on Better-Than-Expected Earnings, https://www.marketbeat.com/instant-alerts/verisk-analytics-nasdaqvrsk-shares-up-83-on-better-than-expected-earnings-2026-04-29/
  23. Verisk (VRSK) rises 4.4% after Q1 results top expectations and full-year outlook is reaffirmed, https://www.quiverquant.com/news/Verisk+%28VRSK%29+rises+4.4%25+after+Q1+results+top+expectations+and+full-year+outlook+is+reaffirmed
  24. Verisk Analytics Revenue 2012-2025 | VRSK - Macrotrends, https://www.macrotrends.net/stocks/charts/VRSK/verisk-analytics/revenue
  25. NASDAQ: VRSK Verisk Analytics Revenue - WallStreetZen, https://www.wallstreetzen.com/stocks/us/nasdaq/vrsk/revenue
  26. Verisk Reiterates its Growth Targets and Outlines Strategy for its Next Phase of Compounding Growth at 2026 Investor Day, https://www.verisk.com/company/newsroom/verisk-reiterates-its-growth-targets-and-outlines-strategy-for-its-next-phase-of-compounding-growth-at-2026-investor-day/
  27. Verisk Ends Effort to Acquire AccuLynx - VRSK - Stock Titan, https://www.stocktitan.net/news/VRSK/verisk-ends-effort-to-acquire-accu-15yljb1m81cx.html
  28. Verisk scraps $2.35B acquisition of roofing software maker AccuLynx - SiliconANGLE, https://siliconangle.com/2025/12/29/verisk-scraps-2-35b-acquisition-roofing-software-maker-acculynx/
  29. Verisk ends effort to acquire AccuLynx - Coverager, https://coverager.com/verisk-ends-effort-to-acquire-acculynx/
  30. Data Privacy - Verisk, https://core.verisk.com/Insights/Emerging-Issues/privacy
  31. The Hidden Challenges of Liability Claims—and Proactive Ways to Mitigate Them | Verisk, https://www.verisk.com/blog/the-hidden-challenges-of-liability-claims-and-proactive-ways-to-mitigate-them/
  32. Economic Volatility Dominates 2026 Emerging Risks, as AI Looms Long-Term, https://riskandinsurance.com/economic-volatility-dominates-2026-emerging-risks-as-ai-looms-long-term/
  33. Global Risks Report 2026: Geopolitical and economic risks rise in new age of competition, https://www.preventionweb.net/news/global-risks-report-2026-geopolitical-and-economic-risks-rise-new-age-competition
  34. Verisk (NASDAQ: VRSK) posts Q1 2026 growth and $1.5B buyback, https://www.stocktitan.net/sec-filings/VRSK/8-k-verisk-analytics-inc-reports-material-event-8538605f7930.html
  35. VRSK SEC Filings - Verisk Analytics 10-K, 10-Q, 8-K Forms - Stock Titan, https://www.stocktitan.net/sec-filings/VRSK/
  36. What Should Investors Expect from Verisk's Q1 2026 Earnings - Kavout, https://www.kavout.com/market-lens/what-should-investors-expect-from-verisk-s-q1-2026-earnings

View Verisk Analytics, Inc. (VRSK) stock page

Loading the interactive version of this report…