Verisk Analytics (VRSK) Long-Term Investments (2019 - 2025)
Verisk Analytics (VRSK) posted Long-Term Investments of $228.8 million for Q4 2025, up 3.0% from $222.2 million a year earlier.
Analysis
Verisk Analytics (VRSK) Long-Term Investments (2019 - 2025) Analysis & Trends
Since Q4 2019, Verisk Analytics has reported Long-Term Investments for 7 quarters.
- Annual Long-Term Investments shows a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- In prior years, Verisk Analytics' Long-Term Investments was $222.2 million in FY2024 (-4.0%), $231.4 million in FY2023 (+0.7%), $229.8 million in FY2022 (+6.3%) and $216.2 million in FY2021 (+12.3%).
- The Q4 2025 figure stands as the highest quarterly Long-Term Investments since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 114.46 Bn | 110.07 Bn | 2.98 Bn | 613.00 Mn |
| 2 | Moodys | 77.50 Bn | 69.93 Bn | 1.67 Bn | - |
| 3 | Msci | 39.67 Bn | 38.01 Bn | 717.10 Mn | - |
| 4 | Verisk Analytics | 21.91 Bn | 16.55 Bn | 572.90 Mn | - |
| 5 | Equifax | 16.44 Bn | 15.84 Bn | 926.40 Mn | - |
| 6 | TransUnion | 11.91 Bn | 8.89 Bn | - | - |
| 7 | Factset Research Systems | 9.93 Bn | 8.69 Bn | 310.73 Mn | - |
| 8 | Morningstar | 7.17 Bn | 5.07 Bn | 423.90 Mn | 49.80 Mn |
| 9 | Mastercard | 479.32 Bn | 439.24 Bn | - | 318.00 Mn |
| 10 | Cme | 95.24 Bn | 95.24 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 228.80 Mn |
| Dec 31, 2024 | 222.20 Mn |
| Dec 31, 2023 | 231.40 Mn |
| Dec 31, 2022 | 229.80 Mn |
| Dec 31, 2021 | 216.20 Mn |
| Dec 31, 2020 | 192.60 Mn |
| Dec 31, 2019 | 27.10 Mn |
API Access
Verisk Analytics Long-Term Investments 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=long-term-investments&ticker=VRSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();