PART I Our Company Verisk is a leading data, analytics, and technology provider serving clients in the insurance ecosystem. Using advanced technologies to collect and analyze billions of records, we draw on unique data assets, insurance industry knowledge, and technological expertise to provide valuable solutions that are integrated into client workflows. We offer predictive analytics and decision support solutions to clients in rating, underwriting, claims, catastrophe, weather risk, and many o...
expected 2026-12-08
| Name | Role | Period |
|---|---|---|
| Andrew Nicholas | Analyst, William Blair & | FY2026 – FY2026 |
| C. Gregory Peters | Analyst, Raymond James & Associates | FY2026 – FY2026 |
| David Paige | Analyst, RBC Capital Markets LLC | FY2026 – FY2026 |
| Faiza A lwy | Analyst, Deutsche Bank Securities | FY2026 – FY2026 |
| George K. Tong | Analyst, Goldman Sachs & | FY2026 – FY2026 |
| Jason Haas | Analyst, Wells Fargo Securities LLC | FY2026 – FY2026 |
| Kelsey Zhu | Analyst, Autonomous Research US LP | FY2026 – FY2026 |
| Manav Patnaik | Analyst, Barclays Capital | FY2026 – FY2026 |
| Scott Wu rtzel | Analyst, Wolfe Research LLC | FY2026 – FY2026 |
| Toni Kaplan | Analyst, Morgan Stanley & | FY2026 – FY2026 |
| Lee M. Shavel | President, Chief Executive Officer & Director, Verisk Analytics | FY2026 – FY2026 |
| Elizabeth Mann | Chief Financial Officer, Verisk Analytics | FY2026 – FY2026 |
| Saurabh Khemka | President, Underwriting Solutions, Verisk Analytics | FY2026 – FY2026 |
| Type | Subject | Detail | Quarter |
|---|---|---|---|
| topic_mention | VRSK | discussed Artificial Intelligence | |
| topic_mention | VRSK | discussed Data Center | |
| topic_mention | VRSK | discussed Cloud Computing | |
| topic_mention | VRSK | discussed Cybersecurity | |
| topic_mention | VRSK | discussed Trusted Computing | |
| topic_mention | VRSK | discussed Blockchain & Crypto | |
| topic_mention | VRSK | discussed Networking | |
| topic_mention | VRSK | discussed Capital Expenditure | |
| topic_mention | VRSK | discussed Supply Chain | |
| topic_mention | VRSK | discussed Regulation | |
| topic_mention | VRSK | discussed Sovereign & Government | |
| topic_mention | VRSK | discussed Enterprise | |
| topic_mention | VRSK | discussed Automotive | |
| topic_mention | VRSK | discussed Healthcare & Bio | |
| topic_mention | VRSK | discussed AI Compute | |
| topic_mention | VRSK | discussed Platform & Ecosystem | |
| metric | VRSK total revenue | reported $4.9 million | |
| metric | VRSK gross margin | reported $54.3 percent | |
| metric | VRSK gross margin | reported $57.6 percent | |
| guidance | VRSK | guided expect to recognize a net periodic pension and postretirement expenses of $3.6 million |
| Filed | Period | Accession | Source | Full Text |
|---|---|---|---|---|
| 2026-02-18 | 2025-12-31 | 0001437749-26-004452 | EDGAR | 70K words |
| 2025-02-26 | 2024-12-31 | 0001437749-25-005160 | EDGAR | 70K words |
| 2024-02-21 | 2023-12-31 | 0001437749-24-004939 | EDGAR | 74K words |
| 2023-02-28 | 2022-12-31 | 0001437749-23-004945 | EDGAR | — |
| 2022-02-22 | 2021-12-31 | 0001437749-22-004083 | EDGAR | — |
| 2021-02-23 | 2020-12-31 | 0001437749-21-003789 | EDGAR | — |
| 2020-02-18 | 2019-12-31 | 0001442145-20-000012 | EDGAR | — |
| 2019-02-19 | 2018-12-31 | 0001442145-19-000012 | EDGAR | — |
| 2018-02-20 | 2017-12-31 | 0001442145-18-000008 | EDGAR | — |
| 2017-02-21 | 2016-12-31 | 0001442145-17-000010 | EDGAR | — |
| Filed | Period | Accession | Source | Full Text |
|---|---|---|---|---|
| 2026-07-29 | 2026-06-30 | 0001437749-26-024749 | EDGAR | 26K words |
| 2025-10-29 | 2025-09-30 | 0001437749-25-032073 | EDGAR | 30K words |
| 2025-07-30 | 2025-06-30 | 0001437749-25-023862 | EDGAR | 28K words |
| 2025-05-07 | 2025-03-31 | 0001437749-25-014907 | EDGAR | 21K words |
| 2024-10-30 | 2024-09-30 | 0001437749-24-032536 | EDGAR | 32K words |
| 2024-07-31 | 2024-06-30 | 0001437749-24-023985 | EDGAR | 32K words |
| 2024-05-01 | 2024-03-31 | 0001437749-24-014064 | EDGAR | 24K words |
| 2023-11-01 | 2023-09-30 | 0001437749-23-029653 | EDGAR | 42K words |
| 2023-08-02 | 2023-06-30 | 0001437749-23-021529 | EDGAR | 42K words |
| 2023-05-03 | 2023-03-31 | 0001437749-23-012195 | EDGAR | — |
| 2022-11-01 | 2022-09-30 | 0001437749-22-025374 | EDGAR | — |
| 2022-08-02 | 2022-06-30 | 0001437749-22-018437 | EDGAR | — |
| Filed | Accession | Source | Full Text |
|---|---|---|---|
| 2026-09-08 | 0001193125-26-385242 | EDGAR | 1K words |
| 2026-08-18 | 0001193125-26-355652 | EDGAR | 1K words |
| 2026-07-29 | 0001437749-26-024748 | EDGAR | 9K words |
| 2026-07-28 | 0001193125-26-321243 | EDGAR | 1K words |
| 2026-02-26 | 0001193125-26-074420 | EDGAR | 19K words |
| 2026-02-23 | 0001193125-26-062488 | EDGAR | 1K words |
| 2026-02-18 | 0001437749-26-004451 | EDGAR | 12K words |
| 2025-12-29 | 0001193125-25-332544 | EDGAR | 1K words |
| 2025-10-29 | 0001437749-25-032072 | EDGAR | 10K words |
| 2025-08-21 | 0001193125-25-185078 | EDGAR | 72K words |
214 total filings indexed. 182 additional filings (S-1, DEF 14A, etc.) View all (JSON) · SEC EDGAR
| Call Date | Quarter | Title |
|---|---|---|
| — | VRSK Earnings Call Transcript | |
| — | VRSK Earnings Call Transcript | |
| — | VRSK Earnings Call Transcript | |
| — | Q4 FY2026 | VRSK Q4 FY2026 Earnings Call Transcript |
Access full transcripts via API (JSON) — includes speakers, key metrics, competitive mentions, and origin provenance chain.
| CIK | 0001442145 |
| Ticker | VRSK |
| Exchange | Nasdaq |
| SIC | 7374: Services-Computer Processing & Data Preparation |
| Incorporated | DE |
| Website | https://www.verisk.com |
| Listed | 2009-10-07 |
This is a static snapshot. For live, structured JSON with cryptographic provenance chain:
MCP (recommended for AI): claude mcp add origin --transport http https://origin.rootz.global/mcp
Try it — paste this into your AI:
Works in ChatGPT, Claude, Gemini, or any AI. Free, structured, cryptographically signed — ~500 tokens vs 130,000 scraping an IR site.
claude mcp add origin --transport http https://origin.rootz.global/mcpGET https://origin.rootz.global/api/company/VRSK (~200 tokens, structured JSON with cryptographic provenance)