Verisk Analytics (VRSK) Acquisitions (2010 - 2025)
Verisk Analytics' Acquisitions came in at $160.4 million for Q3 2025, up 690.1% from the prior quarter.
Analysis
Verisk Analytics (VRSK) Acquisitions (2010 - 2025) Analysis & Trends
For FY2023, Verisk Analytics' Acquisitions was $83.3 million, down 81.4% from FY2022.
- Acquisitions carries a five-year compound annual growth rate of -9.6% (FY2018 to FY2023).
- Going back by year, Acquisitions was $448.9 million in FY2022 (+54.9%), $289.8 million in FY2021 (+5.1%), $275.8 million in FY2020 (-60.6%) and $699.2 million in FY2019 (+405.9%).
- The Q3 2025 figure represents the highest quarterly Acquisitions since Q1 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 14.00 Mn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | - |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 17.10 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | - |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | - |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 25.00 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | - |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | - |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | - |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 160.40 Mn |
| Jun 30, 2025 | 20.30 Mn |
| Mar 31, 2025 | 4.10 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, 2018 | 21.80 Mn |
| Dec 31, 2017 | 199.00 Mn |
| Sep 30, 2017 | 564.50 Mn |
| Jun 30, 2017 | 43.30 Mn |
| Mar 31, 2017 | 66.50 Mn |
| Dec 31, 2016 | 22.50 Mn |
API Access
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();