Verisk Analytics (VRSK) Pension (2010 - 2025)
Verisk Analytics' Pension was $7.7 million in Q4 2025, down 53.0% from $16.4 million a year earlier.
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Analysis
Verisk Analytics (VRSK) Pension (2010 - 2025) Analysis & Trends
From Q4 2010 onward, Verisk Analytics has reported Pension for 32 quarters.
- Pension shows a five-year compound annual growth rate of -9.1% (FY2020 to FY2025).
- In earlier years, Pension was $16.4 million in FY2024 (-1.2%), $16.6 million in FY2023 (+76.6%), $9.4 million in FY2022 (-15.3%) and $11.1 million in FY2021 (-10.5%).
- The Q4 2025 figure marks the lowest quarterly Pension in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 133.88 Bn | 124.46 Bn | 2.98 Bn |
| 2 | Moodys | 84.51 Bn | 77.44 Bn | 1.50 Bn |
| 3 | Msci | 44.68 Bn | 43.16 Bn | 739.80 Mn |
| 4 | Verisk Analytics | 26.54 Bn | 21.17 Bn | 572.90 Mn |
| 5 | Equifax | 21.92 Bn | 21.19 Bn | 940.10 Mn |
| 6 | TransUnion | 16.07 Bn | 12.89 Bn | - |
| 7 | Factset Research Systems | 12.30 Bn | 11.15 Bn | 308.40 Mn |
| 8 | Morningstar | 8.46 Bn | 6.36 Bn | 423.90 Mn |
| 9 | Mastercard | 557.08 Bn | 517.01 Bn | - |
| 10 | Cme | 110.43 Bn | 98.52 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 7.70 Mn |
| Dec 31, 2024 | 16.40 Mn |
| Dec 31, 2023 | 16.60 Mn |
| Dec 31, 2022 | 9.40 Mn |
| Dec 31, 2021 | 11.10 Mn |
| Dec 31, 2020 | 12.40 Mn |
| Dec 31, 2019 | 12.10 Mn |
| Dec 31, 2016 | 12.60 Mn |
| Sep 30, 2016 | 12.53 Mn |
| Jun 30, 2016 | 12.70 Mn |
| Mar 31, 2016 | 12.78 Mn |
| Dec 31, 2015 | 12.90 Mn |
| Sep 30, 2015 | 13.41 Mn |
| Jun 30, 2015 | 13.58 Mn |
| Mar 31, 2015 | 13.72 Mn |
| Dec 31, 2014 | 13.81 Mn |
| Sep 30, 2014 | 12.40 Mn |
| Jun 30, 2014 | 13.02 Mn |
| Mar 31, 2014 | 12.96 Mn |
| Dec 31, 2013 | 13.01 Mn |
API Access
Verisk Analytics Pension 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=pension&ticker=VRSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();