Verisk Analytics (VRSK) Change in Acquisitions & Divestments (2023 - 2026)
Verisk Analytics' Change in Acquisitions & Divestments was $900,000 in Q1 2026.
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Analysis
Verisk Analytics (VRSK) Change in Acquisitions & Divestments (2023 - 2026) Analysis & Trends
For FY2025, Change in Acquisitions & Divestments at Verisk Analytics came in at $6.5 million, up 550.0% from FY2024.
- In earlier years, Change in Acquisitions & Divestments was $1 million in FY2024 (-54.5%) and $2.2 million in FY2023.
- Quarterly Change in Acquisitions & Divestments has moved between -$2 million (Q4 2025) and $4.5 million (Q2 2025) over five years.
- Per Business Quant data, VRSK's Change in Acquisitions & Divestments in the three quarters before Q1 2026 was -$2 million (Q4 2025), $4 million (Q3 2025) and $4.5 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Msci | 235.55 Bn | 234.03 Bn | 739.80 Mn |
| 2 | S&P Global | 137.22 Bn | 132.42 Bn | 2.64 Bn |
| 3 | Moodys | 88.04 Bn | 81.11 Bn | 1.50 Bn |
| 4 | Verisk Analytics | 26.17 Bn | 22.36 Bn | 567.00 Mn |
| 5 | Equifax | 22.05 Bn | 21.44 Bn | 940.10 Mn |
| 6 | TransUnion | 15.64 Bn | 12.48 Bn | - |
| 7 | Factset Research Systems | 11.49 Bn | 10.35 Bn | 308.40 Mn |
| 8 | Morningstar | 9.15 Bn | 7.04 Bn | 431.40 Mn |
| 9 | Mastercard | 570.55 Bn | 530.63 Bn | - |
| 10 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 600,000.00 |
| Mar 31, 2026 | -900,000.00 |
| Dec 31, 2025 | 2.00 Mn |
| Sep 30, 2025 | -4.00 Mn |
| Jun 30, 2025 | -4.50 Mn |
| Dec 31, 2024 | -600,000.00 |
| Sep 30, 2024 | -900,000.00 |
| Jun 30, 2024 | 1.80 Mn |
| Dec 31, 2023 | -500,000.00 |
| Sep 30, 2023 | -900,000.00 |
API Access
Verisk Analytics Change in Acquisitions & Divestments 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=change-in-acquisitions-and-divestments&ticker=VRSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-acquisitions-and-divestments", "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=change-in-acquisitions-and-divestments&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();