Verisk Analytics (VRSK) Revenue (2010 - 2026)
Verisk Analytics (VRSK) posted Revenue of $806.3 million for Q2 2026, up 4.4% from $772.6 million a year earlier and up 3.0% from the prior quarter.
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Analysis
Verisk Analytics (VRSK) Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Verisk Analytics was $3.14 billion, up 5.0% year-over-year; for FY2025, it came in at $3.07 billion, up 6.6% from FY2024.
- Annual Revenue has increased for five consecutive years, with a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- In prior years, Verisk Analytics' Revenue was $2.88 billion in FY2024 (+7.5%), $2.68 billion in FY2023 (+7.4%), $2.5 billion in FY2022 (+1.4%) and $2.46 billion in FY2021 (+8.5%).
- The Q2 2026 figure stands as the highest quarterly Revenue in data going back to Q1 2010.
- On a year-over-year basis, Revenue has increased in each of the last 15 quarters, with growth averaging 6.3% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q4 2022, with growth of 174.2%; the weakest was Q3 2022, with a decline of 19.6%.
- According to Business Quant data, Revenue for the three prior quarters was $782.6 million (Q1 2026), $778.8 million (Q4 2025) and $768.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 4.15 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 2.19 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 867.00 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 806.30 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 1.70 Bn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 1.31 Bn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 622.92 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 663.20 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 9.28 Bn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 1.71 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 806.30 Mn |
| Mar 31, 2026 | 782.60 Mn |
| Dec 31, 2025 | 778.80 Mn |
| Sep 30, 2025 | 768.30 Mn |
| Jun 30, 2025 | 772.60 Mn |
| Mar 31, 2025 | 753.00 Mn |
| Dec 31, 2024 | 735.60 Mn |
| Sep 30, 2024 | 725.30 Mn |
| Jun 30, 2024 | 716.80 Mn |
| Mar 31, 2024 | 704.00 Mn |
| Dec 31, 2023 | 677.20 Mn |
| Sep 30, 2023 | 677.60 Mn |
| Jun 30, 2023 | 675.00 Mn |
| Mar 31, 2023 | 651.60 Mn |
| Dec 31, 2022 | 630.50 Mn |
| Sep 30, 2022 | 610.10 Mn |
| Jun 30, 2022 | 612.80 Mn |
| Mar 31, 2022 | 643.60 Mn |
| Dec 31, 2021 | 229.90 Mn |
| Sep 30, 2021 | 759.00 Mn |
API Access
Verisk Analytics Revenue 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=revenue&ticker=VRSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();