Verisk Analytics (VRSK) Operating Income (2010 - 2026)
Verisk Analytics' Operating Income was $363.7 million in Q2 2026, up 2.7% from $354.3 million a year earlier and up 3.3% from the prior quarter.
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Analysis
Verisk Analytics (VRSK) Operating Income (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Verisk Analytics' Operating Income was $1.38 billion through Jun 30, 2026, up 4.8% year-over-year; for FY2025, it came in at $1.34 billion, up 7.2% from FY2024.
- Operating Income shows a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- In earlier years, Operating Income was $1.25 billion in FY2024 (+10.8%), $1.13 billion in FY2023 (-19.5%), $1.41 billion in FY2022 (+54.3%) and $911.4 million in FY2021 (-4.7%).
- The Q2 2026 figure marks the highest quarterly Operating Income since Q1 2022.
- Compared with a year earlier, Operating Income was higher in seven of the last eight quarters, with growth averaging 9.4%.
- The best year-over-year quarter for Operating Income over five years was Q4 2022 (growth of 169.8%); the worst was Q1 2023 (a decline of 52.8%).
- Per Business Quant data, VRSK's Operating Income in the three quarters before Q2 2026 was $352.2 million (Q1 2026), $313.6 million (Q4 2025) and $345.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 1.81 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 1.05 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 487.50 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 363.70 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 314.20 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 258.00 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 166.30 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 160.60 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 5.59 Bn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 1.11 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 363.70 Mn |
| Mar 31, 2026 | 352.20 Mn |
| Dec 31, 2025 | 313.60 Mn |
| Sep 30, 2025 | 345.90 Mn |
| Jun 30, 2025 | 354.30 Mn |
| Mar 31, 2025 | 330.10 Mn |
| Dec 31, 2024 | 316.30 Mn |
| Sep 30, 2024 | 311.50 Mn |
| Jun 30, 2024 | 318.70 Mn |
| Mar 31, 2024 | 307.40 Mn |
| Dec 31, 2023 | 250.50 Mn |
| Sep 30, 2023 | 281.10 Mn |
| Jun 30, 2023 | 306.00 Mn |
| Mar 31, 2023 | 294.10 Mn |
| Dec 31, 2022 | 282.50 Mn |
| Sep 30, 2022 | 253.60 Mn |
| Jun 30, 2022 | 247.60 Mn |
| Mar 31, 2022 | 622.80 Mn |
| Dec 31, 2021 | 104.70 Mn |
| Sep 30, 2021 | 288.90 Mn |
API Access
Verisk Analytics Operating 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=operating-income&ticker=VRSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-income&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();