Verisk Analytics (VRSK) Change in Acquisitions & Divestments (2023 - 2026)
Verisk Analytics' Change in Acquisitions & Divestments was $900,000 in Q1 2026.
Powered by 
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 | S&P Global | 113.90 Bn | 109.50 Bn | 2.98 Bn |
| 2 | Moodys | 76.48 Bn | 68.91 Bn | 1.67 Bn |
| 3 | Msci | 38.99 Bn | 37.33 Bn | 717.10 Mn |
| 4 | Verisk Analytics | 21.33 Bn | 15.96 Bn | 572.90 Mn |
| 5 | Equifax | 16.47 Bn | 15.87 Bn | 926.40 Mn |
| 6 | TransUnion | 12.16 Bn | 9.14 Bn | - |
| 7 | Factset Research Systems | 9.52 Bn | 8.28 Bn | 310.73 Mn |
| 8 | Morningstar | 6.89 Bn | 4.79 Bn | 423.90 Mn |
| 9 | Mastercard | 480.84 Bn | 440.75 Bn | - |
| 10 | Cme | 94.54 Bn | 94.54 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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();