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  4. Verisk Analytics, Inc. (VRSK) Q1 2026 Earnings Call Transcript

Verisk Analytics, Inc. (VRSK) Q1 2026 Earnings Call Transcript

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VRSK
Verisk Analytics Inc
192.25 USD
+2.37%

Access earnings results, analyst expectations, report, slides, earnings call, and transcript.

Overview

The earnings call summary reveals strong financial metrics, optimistic guidance, and strategic AI integration, suggesting positive stock movement. The Q&A section supports this with insights on organic revenue growth, sustainable subscription growth, and effective AI monetization. Concerns about AI-related complexities are mitigated by management's confidence in evolving standards. Despite some non-specific responses, the overall sentiment is positive, driven by innovation and strategic partnerships.

Key Financial Performance

Organic Constant Currency Revenue Growth 4.7% growth year-over-year. Growth was driven by underwriting and claims, with subscription revenues growing 7%. Factors affecting growth included low weather activity, tough comparisons from strong renewals last year, and a work stoppage in a federal government contract.

Organic Constant Currency Adjusted EBITDA Growth 5.9% growth year-over-year, with a 60 basis point margin expansion. Growth was attributed to efficiency and cost discipline.

GAAP Revenue $783 million, up 4% year-over-year. Growth reflects solid operational performance.

Net Income $234 million, a 1% increase year-over-year. Growth was driven by operational performance and a lower average share count, offset by higher interest expense and a higher effective tax rate.

Diluted GAAP Earnings Per Share (EPS) $1.73, up 5% year-over-year. Growth was driven by operational performance and a lower average share count.

Subscription Revenues 7% growth year-over-year, comprising 84% of total revenues. Growth was broad-based and driven by strong price realization in renewals and enhanced value creation.

Transactional Revenues Declined 6.1% year-over-year. Decline was due to lower volumes in Property and Restoration Solutions, low weather activity, and softness in personal lines auto business.

Adjusted EBITDA Margins 55.9%, up 60 basis points year-over-year. Margin expansion reflects operational leverage and cost discipline, offset by increased investment in AI technology.

Net Cash from Operating Activities $390 million, down 12% year-over-year. Decline was due to a tax refund collected in the prior year that did not recur and higher interest payments.

Free Cash Flow $326 million, down 17% year-over-year. Decline was due to the same factors affecting net cash from operating activities.

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Operating Highlights

AI-powered Digital Media Forensics: Automates anomaly detection in photos and documents to address fraud risk. Onboarded the sixth top 10 carrier to the platform.

Roof Age and Aerial Imagery Analytics: Enhanced property solutions using aerial imagery for better risk selection and faster underwriting. Revenue grew more than 30% over the last 2 years.

Wind and Hail Peril Scores and Remaining Roof Life: New innovations slated for introduction this year to enhance property risk assessment.

Expansion in Catastrophe and Risk Solutions: Achieved double-digit growth through contract expansions, competitive wins, and new client acquisitions.

Life Business Growth: Delivered double-digit organic revenue growth driven by new client wins and expanded relationships.

Subscription Revenue Growth: Achieved 7% growth in subscription revenues, comprising 84% of total revenues.

Operational Efficiency: Achieved 60 basis points of margin expansion through cost discipline and efficiency.

AI Integration in Client Strategies: Collaborated with clients to integrate Verisk's data and capabilities into their AI strategies, including co-development partnerships.

Next-Generation Underwriting Entity: Selected as a strategic partner for a global insurance firm to co-develop a digitally native underwriting entity.

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Risk or Challenges

Revenue Growth Challenges: The company experienced lower-than-typical revenue growth in the first quarter of 2026 due to the carryover effect of low weather-related events, tough comparisons from strong renewals in the prior year, and a work stoppage in a federal government contract.

Market Competition: Increased competition and softening pricing in the insurance industry, particularly in commercial property lines, could pressure profitability and growth.

Sales Cycle Delays: Extended sales cycles for AI solutions due to complex contracting requirements related to AI governance and compliance.

Interest Expense: Higher interest expenses due to increased debt balances and higher interest rates, which could impact net income.

Tax Rate Increase: A higher effective tax rate compared to the prior year, driven by lower tax benefits from employee stock option exercises.

Transactional Revenue Decline: Decline in transactional revenues, particularly in Property and Restoration Solutions, due to low levels of weather activity and softness in personal lines auto business.

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Guidance & Outlook

Revenue Growth: Verisk expects 2026 to align with its long-term growth targets, with gradual improvement in revenue growth throughout the year. Consolidated revenue is projected to be between $3.19 billion and $3.24 billion.

Adjusted EBITDA: Adjusted EBITDA is expected to range between $1.79 billion and $1.83 billion, with margins of 56% to 56.5%.

Adjusted EPS: Adjusted earnings per share for 2026 are projected to be in the range of $7.45 to $7.75.

Subscription Revenue: Subscription revenues, which comprise 84% of total revenues, are expected to continue growing, driven by strong client adoption and enhanced offerings.

AI and Innovation: Verisk plans to introduce new innovations in 2026, including wind and hail peril scores and remaining roof life analytics. AI-driven solutions like Digital Media Forensics are expected to see strong adoption.

Market Trends: The insurance industry is experiencing a shift from profitability to growth, with increased competition and softening pricing, particularly in commercial property lines. Verisk anticipates continued demand for its data and analytics solutions to support underwriting discipline.

Capital Allocation: Verisk remains committed to returning capital to shareholders, with a $1.5 billion accelerated share repurchase program and $1 billion remaining under its share repurchase authorization.

Operational Investments: The company will continue investing in AI technology and client engagement strategies to drive growth and innovation.

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Shareholder Return Plan

Dividend per share: $0.50 per share

Dividend increase: 11% increase from the prior year

Total dividend payout: $66 million in the first quarter

Accelerated share repurchase program: $1.5 billion initiated, expected to run at least through the second quarter

Open market repurchase program: $126 million of stock repurchased

Total shares retired: 7.6 million shares in the first quarter

Remaining share repurchase authorization: Approximately $1 billion remaining

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Key Q&A

Q:Can you unpack the comment on strong pricing realization on renewals and how NWPs are impacting pricing?
A:The company has seen consistent trends of achieving stronger price increases on annualized basis for multiyear contracts, averaging 4-5 years. This reflects the criticality of their data, especially in the AI environment. They have also secured pricing increases reflective of the greater value provided through their Core Lines Reimagine initiative.
Q:How do you see the monetization model for clients using your data and capabilities in their internal AI strategies?
A:The monetization opportunity is rooted in the application of AI driven by client-developed solutions, frontier model companies, and the company's integration of generative AI. The company aims to deliver structured, clean, industry-wide data to clients, enabling them to achieve more value. Monetization will consist of realizing more value through pricing arrangements and opening up new specific data utilization for AI applications. This is expected to evolve over time as the industry experiments and experiences what's possible.
Q:Are you signaling any incremental caution regarding revenue development due to extended sales cycles for AI solutions?
A:Yes, the extended sales cycles reflect the need to address intellectual property, privacy, and governance issues related to AI solutions. This has added complexity to contract negotiations, but the company expects improvement over time as industry standards evolve. While there is some caution, it relates to the growing opportunity and what it represents longer term.
Q:Can you provide color on the cadence of improvement in organic revenue growth moving through the year?
A:The company expects Q1 to be the trough, with steady improvement throughout the year. Some year-over-year headwinds will persist into Q2, but the core business remains strong. As the year progresses, the underlying strength of the business and subscription revenues are expected to reemerge.
Q:Were any of the 4 new carriers added to the Core Lines contributory data set among your top 10 or top 25 carrier relationships?
A:The company did not specify if the 4 new carriers were among the top 10 or top 25 relationships. However, they continue to see strong engagement with carriers of all sizes, with new contributions providing benchmarks that were previously unavailable.
Q:What is the monetization potential and preference among different AI product channels?
A:The company focuses on responding to client preferences and needs, which vary widely. They have adapted their data sets to AI applications through standardization, cloud migration, and API-driven access. At this stage, there is no clear preference or differentiation in scalability among the channels.
Q:How much of the impactful innovation gets absorbed as part of your value pricing strategy versus driving new incremental revenue?
A:The majority of impactful innovation is focused on developing new revenue opportunities. Innovations like aerial imagery and digital media forensics provide new analytics and applications that create incremental value, rather than just enhancing existing offerings.
Q:Are you seeing any pushback on price increases or lengthening of sales cycles due to client profitability pressures?
A:The company is not seeing significant pushback on price increases or lengthening of sales cycles due to client profitability pressures. Improved combined ratios and a focus on technology adoption, including AI, have supported contract negotiations and renewals.
Q:Can you provide an update on the cross-sell environment and adoption of digital modules?
A:The company is seeing strong engagement and an active pipeline of trials, POCs, and new subscriptions for new products. Improved strategic dialogue with clients has enhanced individual product cross-sells and enterprise-oriented solutions that integrate data sets and product functionality.
Q:What is the expected contribution from new Core Lines Reimagine modules versus easier comps in the second half of the year?
A:Year-over-year improvement will be driven by easier comps, but reported revenue is expected to steadily build throughout the year. The Forms, Rules, and Loss Cost business, along with strong subscription outcomes across the portfolio, will contribute to growth.
Q:What is the biggest margin or top-line opportunity brought by your AI investment?
A:The company sees long-term opportunities in AI, with efficiency and productivity benefits in software development and data ingestion. While AI investments are currently a push on margins, they are embedded in the guidance for gradual margin expansion. Productivity improvements for clients, such as underwriters and claims professionals, are seen as key monetization opportunities.
Q:Can you provide details on the underwriting platform being developed with one client?
A:The company is working with a client to restructure their underwriting process, integrating data sets and agentic technologies to improve efficiency and effectiveness. This is a one-off project but reflects broader client objectives and could be replicated with other clients.
Q:What prevents competitors or clients from using AI to recreate your underwriting data analytics solutions?
A:The company's moat includes proprietary data sets, unique analytics, risk segmentation expertise, and a trusted provider status. Their ability to standardize data at scale and offer turnkey solutions to regulators further strengthens their competitive position.
Q:Is the subscription OCC revenue growth sustainable?
A:Yes, the company sees sustainability in subscription growth, driven by strong engagement across the portfolio and investments in new products. Growth is supported by the Forms, Rules, and Loss Costs business and other subscription-based solutions.
Q:Review of Unclear Management Responses
A:Management avoided directly addressing whether the 4 new carriers added to the Core Lines contributory data set were among the top 10 or top 25 carrier relationships. They also did not provide specific sizing for the top-line or margin impact of AI investments, citing it as a long-term opportunity.
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Earnings Word Cloud

The most frequently occurring keywords in this quarter's earning call
AI solution
AI strategy
AI underwriting
Client
Digital Media
Finance
Insurance
Senior Vice
VIC industry
accountability
casualty
catastrophe risk
event
expense tax
flow measure
fraud
frontier model
governance
government contract
industry challenge
industry knowledge
innovation
insight scale
level weather
life
mission nature
model company
modeling
nature solution
offering
regulator
renewal work
repurchase program
share increase
stoppage government
term loan
underwriting catastrophe
win
work stoppage

VRSK Transcript

Verisk Analytics, Inc. (VRSK) Presents at 46th Annual William Blair Growth Stock Conference Transcript
Neutral6-2
Verisk Analytics, Inc. (VRSK) Presents at Bernstein 42nd Annual Strategic Decisions Conference Transcript
Neutral5-28
Verisk Analytics, Inc. (VRSK) Q1 2026 Earnings Call Transcript
Positive4-29

The earnings call summary reveals strong financial metrics, optimistic guidance, and strategic AI integration, suggesting positive stock movement. The Q&A section supports this with insights on organic revenue growth, sustainable subscription growth, and effective AI monetization. Concerns about AI-related complexities are mitigated by management's confidence in evolving standards. Despite some non-specific responses, the overall sentiment is positive, driven by innovation and strategic partnerships.

Verisk Analytics, Inc. (VRSK) Presents at BofA Securities 2026 Information & Business Services Conference Transcript
Neutral3-12

VRSK Slides

PDFVerisk Q1 2025 slides: subscription revenue surges 10.6%, margins expand
2025-05-07

VRSK Report

Verisk Analytics, Inc. 10-Q
10-Q
2024-10-30
Verisk Analytics, Inc. 10-Q
10-Q
2024-07-31
Verisk Analytics, Inc. 10-Q
10-Q
2024-05-01
Verisk Analytics, Inc. 10-K
10-K
2024-02-21

Frequently Asked Questions

Where does this earnings call transcript come from?

All transcripts are sourced directly from the official live webcast or the company’s official investor relations website. We use the exact words spoken during the call with no paraphrasing of the core discussion.

How soon is the transcript available after the earnings call ends?

Full verbatim transcripts are typically published within 4–12 hours after the call ends. Same-day availability is guaranteed for all S&P 500 and most mid-cap companies.

Is the transcript edited or altered in any way?

No material content is ever changed or summarized in the “Full Transcript” section. We only correct obvious spoken typos (e.g., “um”, “ah”, repeated 10 times”, or clear misspoken ticker symbols) and add speaker names/titles for readability. Every substantive sentence remains 100% as spoken.

Why do some answers appear as “Unclear” or “Inaudible”?

When audio quality is poor or multiple speakers talk over each other, we mark the section instead of guessing. This ensures complete accuracy rather than introducing potential errors.

Who creates the AI Summary and Key Q&A highlights shown above the transcript?

They are generated by a specialized financial-language model trained exclusively on 15+ years of earnings transcripts. The model extracts financial figures, guidance, and tone with 97%+ accuracy and is regularly validated against human analysts. The full raw transcript always remains available for verification.

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