Verisk Analytics Net Income/Loss 2010-2024 | VRSK

Verisk Analytics annual/quarterly net income/loss history and growth rate from 2010 to 2024. Net income/loss can be defined as the company's total income or loss before preferred stock dividends, taken from the Income Statement
  • Verisk Analytics net income/loss for the quarter ending December 31, 2024 was $0.958B, a 55.84% increase year-over-year.
  • Verisk Analytics net income/loss for the twelve months ending December 31, 2024 was $2.451B, a 79.64% increase year-over-year.
  • Verisk Analytics annual net income/loss for 2024 was $0.958B, a 55.84% increase from 2023.
  • Verisk Analytics annual net income/loss for 2023 was $0.614B, a 35.62% decline from 2022.
  • Verisk Analytics annual net income/loss for 2022 was $0.954B, a 43.22% increase from 2021.
Verisk Analytics Annual Net Income/Loss
(Millions of US $)
2024 $958
2023 $614
2022 $954
2021 $666
2020 $713
2019 $450
2018 $599
2017 $555
2016 $591
2015 $508
2014 $400
2013 $348
2012 $329
2011 $283
2010 $243
2009 $127
Sector Industry Market Cap Revenue
Business Services Business Information Services $41.941B $2.681B
Verisk Analytics is a data analytics providers serving customers in insurance, energy and specialized markets and financial services. Using advanced technologies to collect and analyze data, Verisk draws on unique data assets and deep domain expertise to provide innovations that are integrated into customer workflows. The company offers predictive analytics and decision support solutions to customers in rating, underwriting, claims, catastrophe and weather risk, natural resources intelligence and economic forecasting. Verisk reports through three business segments: Insurance, Energy and Specialized Markets and Financial Services. Insurance Segment serves P&C insurance customers. Energy and Specialized Markets Segment provides data analytics services across the natural resources value chain. Services Segment - The company maintains the largest bank account consortia to offer competitive benchmarking, decisioning algorithms, business intelligence and customized analytic services to financial institutions.
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