Verisk Analytics (VRSK) Other Accumulated Expenses (2010 - 2025)
Verisk Analytics' Other Accumulated Expenses was $73.2 million in Q4 2025, up 0.4% from $72.9 million a year earlier.
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Analysis
Verisk Analytics (VRSK) Other Accumulated Expenses (2010 - 2025) Analysis & Trends
From Q4 2010 onward, Verisk Analytics has reported Other Accumulated Expenses for 31 quarters.
- Other Accumulated Expenses shows a five-year compound annual growth rate of -10.4% (FY2020 to FY2025).
- In earlier years, Other Accumulated Expenses was $72.9 million in FY2024 (-54.0%), $158.4 million in FY2023 (+23.1%), $128.7 million in FY2022 (+39.6%) and $92.2 million in FY2021 (-27.1%).
- The Q4 2025 figure marks the highest quarterly Other Accumulated Expenses since Q4 2023.
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 |
|---|---|
| Dec 31, 2025 | 73.20 Mn |
| Dec 31, 2024 | 72.90 Mn |
| Dec 31, 2023 | 158.40 Mn |
| Dec 31, 2022 | 128.70 Mn |
| Dec 31, 2021 | 92.20 Mn |
| Dec 31, 2020 | 126.50 Mn |
| Dec 31, 2019 | 128.40 Mn |
| Dec 31, 2016 | 900,000.00 |
| Sep 30, 2016 | 1.83 Mn |
| Jun 30, 2016 | 1.83 Mn |
| Mar 31, 2016 | 1.83 Mn |
| Dec 31, 2015 | 1.80 Mn |
| Sep 30, 2015 | 1.89 Mn |
| Jun 30, 2015 | 1.89 Mn |
| Mar 31, 2015 | 1.89 Mn |
| Dec 31, 2014 | 1.89 Mn |
| Sep 30, 2014 | 2.44 Mn |
| Jun 30, 2014 | 2.44 Mn |
| Mar 31, 2014 | 2.44 Mn |
| Dec 31, 2013 | 2.44 Mn |
API Access
Verisk Analytics Other 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=other-accumulated-expenses&ticker=VRSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();