Verisk Analytics (VRSK) Accumulated Expenses (2019 - 2025)
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Analysis
Verisk Analytics (VRSK) Accumulated Expenses (2019 - 2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 133.53 Bn | 129.14 Bn | 2.98 Bn |
| 2 | Moodys | 84.66 Bn | 77.72 Bn | 1.50 Bn |
| 3 | Msci | 44.49 Bn | 42.98 Bn | 739.80 Mn |
| 4 | Verisk Analytics | 26.46 Bn | 21.10 Bn | 572.90 Mn |
| 5 | Equifax | 21.92 Bn | 21.32 Bn | 940.10 Mn |
| 6 | TransUnion | 16.01 Bn | 12.99 Bn | - |
| 7 | Factset Research Systems | 11.83 Bn | 10.68 Bn | 308.40 Mn |
| 8 | Morningstar | 8.38 Bn | 6.28 Bn | 423.90 Mn |
| 9 | Mastercard | 550.99 Bn | 510.91 Bn | - |
| 10 | Cme | 109.93 Bn | 98.03 Bn | - |
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 |
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();