Verisk Analytics (VRSK) Accumulated Expenses (2010 - 2025)
Verisk Analytics (VRSK) recorded Accumulated Expenses of $56.6 million in Q4 2025, up 173.4% from $20.7 million a year earlier.
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Analysis
Verisk Analytics (VRSK) Accumulated Expenses (2010 - 2025) Analysis & Trends
Starting with Q4 2010, Verisk Analytics' Accumulated Expenses history includes 24 quarters.
- Annual Accumulated Expenses has increased for three straight years, with a five-year compound annual growth rate of 22.3% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $20.7 million in FY2024 (+8.4%), $19.1 million in FY2023 (+17.2%), $16.3 million in FY2022 (unchanged) and $16.3 million in FY2021 (-21.3%).
- The Q4 2025 figure is the highest quarterly Accumulated Expenses since Q1 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Msci | 236.00 Bn | 234.48 Bn | 739.80 Mn |
| 2 | S&P Global | 137.30 Bn | 132.50 Bn | 2.64 Bn |
| 3 | Moodys | 87.63 Bn | 80.69 Bn | 1.50 Bn |
| 4 | Verisk Analytics | 26.66 Bn | 22.85 Bn | 567.00 Mn |
| 5 | Equifax | 22.03 Bn | 21.43 Bn | 940.10 Mn |
| 6 | TransUnion | 15.46 Bn | 12.30 Bn | - |
| 7 | Factset Research Systems | 11.73 Bn | 10.58 Bn | 308.40 Mn |
| 8 | Morningstar | 9.14 Bn | 7.03 Bn | 431.40 Mn |
| 9 | Mastercard | 572.29 Bn | 532.37 Bn | - |
| 10 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 56.60 Mn |
| Dec 31, 2024 | 20.70 Mn |
| Dec 31, 2023 | 19.10 Mn |
| Dec 31, 2022 | 16.30 Mn |
| Dec 31, 2021 | 16.30 Mn |
| Dec 31, 2020 | 20.70 Mn |
| Dec 31, 2019 | 19.00 Mn |
| Mar 31, 2015 | 98.97 Mn |
| Dec 31, 2014 | 120.06 Mn |
| Sep 30, 2014 | 104.70 Mn |
| Jun 30, 2014 | 106.19 Mn |
| Mar 31, 2014 | 81.90 Mn |
| Dec 31, 2013 | 102.48 Mn |
| Sep 30, 2013 | 92.77 Mn |
| Jun 30, 2013 | 76.05 Mn |
| Mar 31, 2013 | 76.80 Mn |
| Dec 31, 2012 | 113.51 Mn |
| Sep 30, 2012 | 103.09 Mn |
| Jun 30, 2012 | 93.17 Mn |
| Mar 31, 2012 | 85.11 Mn |
API Access
Verisk Analytics Accumulated Expenses 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=accumulated-expenses&ticker=VRSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();