Verisk Analytics (VRSK) Consolidated Net Income (2010 - 2026)
Verisk Analytics (VRSK) posted Consolidated Net Income of $228.6 million for Q2 2026, down 9.8% from $253.3 million a year earlier and down 2.4% from the prior quarter.
Verisk Analytics (VRSK) Consolidated Net Income (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Consolidated Net Income at Verisk Analytics was $885.5 million, down 3.3% year-over-year; for FY2025, it was $908.3 million, down 5.1% from FY2024.
- Annual Consolidated Net Income shows a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- In prior years, Verisk Analytics' Consolidated Net Income was $957.5 million in FY2024 (+55.8%), $614.4 million in FY2023 (-35.6%), $954.3 million in FY2022 (+43.2%) and $666.3 million in FY2021 (-6.5%).
- Quarterly Consolidated Net Income has run from a low of $56.4 million in Q1 2023 to a high of $505.8 million in Q1 2022 over five years.
- On a year-over-year basis, Consolidated Net Income increased in five of the last eight quarters, with growth averaging 1.7%.
- The strongest year-over-year quarter for Consolidated Net Income in the past five years was Q1 2024, with growth of 289.0%; the weakest was Q1 2023, with a decline of 88.8%.
- According to Business Quant data, Consolidated Net Income for the three prior quarters was $234.2 million (Q1 2026), $197.2 million (Q4 2025) and $225.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 113.90 Bn | 109.50 Bn | 2.98 Bn | 1.32 Bn |
| 2 | Moodys | 76.48 Bn | 68.91 Bn | 1.67 Bn | 879.00 Mn |
| 3 | Msci | 38.99 Bn | 37.33 Bn | 717.10 Mn | 342.00 Mn |
| 4 | Verisk Analytics | 21.33 Bn | 15.96 Bn | 572.90 Mn | 228.60 Mn |
| 5 | Equifax | 16.47 Bn | 15.87 Bn | 926.40 Mn | 185.10 Mn |
| 6 | TransUnion | 12.16 Bn | 9.14 Bn | - | 146.70 Mn |
| 7 | Factset Research Systems | 9.52 Bn | 8.28 Bn | 310.73 Mn | 126.72 Mn |
| 8 | Morningstar | 6.89 Bn | 4.79 Bn | 423.90 Mn | 107.80 Mn |
| 9 | Mastercard | 480.84 Bn | 440.75 Bn | - | 4.39 Bn |
| 10 | Cme | 94.54 Bn | 94.54 Bn | - | 1.04 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 228.60 Mn |
| Mar 31, 2026 | 234.20 Mn |
| Dec 31, 2025 | 197.20 Mn |
| Sep 30, 2025 | 225.50 Mn |
| Jun 30, 2025 | 253.30 Mn |
| Mar 31, 2025 | 232.30 Mn |
| Dec 31, 2024 | 210.30 Mn |
| Sep 30, 2024 | 220.00 Mn |
| Jun 30, 2024 | 307.80 Mn |
| Mar 31, 2024 | 219.40 Mn |
| Dec 31, 2023 | 173.80 Mn |
| Sep 30, 2023 | 187.40 Mn |
| Jun 30, 2023 | 196.80 Mn |
| Mar 31, 2023 | 56.40 Mn |
| Dec 31, 2022 | 61.20 Mn |
| Sep 30, 2022 | 189.50 Mn |
| Jun 30, 2022 | 197.80 Mn |
| Mar 31, 2022 | 505.80 Mn |
| Dec 31, 2021 | 141.80 Mn |
| Sep 30, 2021 | 204.90 Mn |
Verisk Analytics Consolidated Net Income API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=consolidated-net-income&ticker=VRSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "ticker": "VRSK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=consolidated-net-income&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();