Verisk Analytics (VRSK) EBIT (2010 - 2026)
Verisk Analytics (VRSK) posted EBIT of $363.7 million for 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) EBIT (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Verisk Analytics was $1.38 billion, up 4.8% year-over-year; for FY2025, it was $1.34 billion, up 7.2% from FY2024.
- Annual EBIT shows a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- In prior years, Verisk Analytics' EBIT 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 stands as the highest quarterly EBIT since Q1 2022.
- On a year-over-year basis, EBIT increased in seven of the last eight quarters, with growth averaging 9.4%.
- The strongest year-over-year quarter for EBIT in the past five years was Q4 2022, with growth of 169.8%; the weakest was Q1 2023, with a decline of 52.8%.
- According to Business Quant data, EBIT for the three prior quarters 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) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 136.14 Bn | 125.99 Bn | 2.64 Bn | 1.96 Bn |
| 2 | Moodys | 87.37 Bn | 80.29 Bn | 1.50 Bn | 906.00 Mn |
| 3 | Msci | 46.53 Bn | 45.01 Bn | 739.80 Mn | 502.10 Mn |
| 4 | Verisk Analytics | 25.76 Bn | 20.40 Bn | 572.90 Mn | 363.70 Mn |
| 5 | Equifax | 21.57 Bn | 20.84 Bn | 940.10 Mn | 355.30 Mn |
| 6 | TransUnion | 15.42 Bn | 12.11 Bn | - | 267.20 Mn |
| 7 | Factset Research Systems | 11.51 Bn | 10.36 Bn | 308.40 Mn | 156.62 Mn |
| 8 | Morningstar | 9.02 Bn | 6.91 Bn | 431.40 Mn | 167.40 Mn |
| 9 | Mastercard | 571.76 Bn | 531.85 Bn | - | 5.86 Bn |
| 10 | Cme | 109.34 Bn | 97.67 Bn | - | 1.14 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 EBIT 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=ebit&ticker=VRSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();