Verisk Analytics (VRSK) Acquisitions (2009 - 2026)
Verisk Analytics' Acquisitions came in at $25.6 million for Q3 2026, down 84.0% from $160.4 million a year earlier.
Verisk Analytics (VRSK) Acquisitions (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Verisk Analytics reported Acquisitions of -$344 million; for FY2025, it came in at -$184.8 million.
- Going back by year, Acquisitions was -$23.4 million in FY2024, $83.3 million in FY2023 (-81.4%), $448.9 million in FY2022 (+54.9%) and $289.8 million in FY2021 (+5.1%).
- The five-year range for quarterly Acquisitions is -$369.6 million (Q4 2025) to $445.4 million (Q1 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 236.00 Bn | 234.48 Bn | 739.80 Mn | 115.90 Mn |
| 2 | S&P Global | 137.30 Bn | 132.50 Bn | 2.64 Bn | 182.00 Mn |
| 3 | Moodys | 87.63 Bn | 80.69 Bn | 1.50 Bn | 2.00 Mn |
| 4 | Verisk Analytics | 26.66 Bn | 22.85 Bn | 567.00 Mn | 25.60 Mn |
| 5 | Equifax | 22.03 Bn | 21.43 Bn | 940.10 Mn | - |
| 6 | TransUnion | 15.46 Bn | 12.30 Bn | - | -200,000.00 |
| 7 | Factset Research Systems | 11.73 Bn | 10.58 Bn | 308.40 Mn | - |
| 8 | Morningstar | 9.14 Bn | 7.03 Bn | 431.40 Mn | - |
| 9 | Mastercard | 572.29 Bn | 532.37 Bn | - | - |
| 10 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 25.60 Mn |
| Dec 31, 2025 | -369.60 Mn |
| Sep 30, 2025 | 160.40 Mn |
| Jun 30, 2025 | 20.30 Mn |
| Mar 31, 2025 | 4.10 Mn |
| Dec 31, 2024 | -46.80 Mn |
| Mar 31, 2024 | 25.90 Mn |
| Jun 30, 2022 | 3.50 Mn |
| Mar 31, 2022 | 445.40 Mn |
| Dec 31, 2021 | 240.40 Mn |
| Sep 30, 2021 | 17.90 Mn |
| Jun 30, 2021 | 17.80 Mn |
| Mar 31, 2021 | 13.70 Mn |
| Dec 31, 2020 | 123.90 Mn |
| Sep 30, 2020 | 151.90 Mn |
| Dec 31, 2019 | 589.70 Mn |
| Sep 30, 2019 | 40.40 Mn |
| Mar 31, 2019 | 69.10 Mn |
| Dec 31, 2018 | 76.80 Mn |
| Sep 30, 2018 | 500,000.00 |
Verisk Analytics Acquisitions 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=acquisitions&ticker=VRSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();