Verisk Analytics (VRSK) Amortization - Intangibles (2010 - 2026)
Verisk Analytics (VRSK) reported Amortization - Intangibles of $14.3 million for Q2 2026, down 12.3% from $16.3 million a year earlier and down 0.7% from the prior quarter.
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Analysis
Verisk Analytics (VRSK) Amortization - Intangibles (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Verisk Analytics' Amortization - Intangibles came in at $64.1 million, down 5.3% year-over-year; for FY2025, it came in at $67.5 million, down 6.6% from FY2024.
- Amortization - Intangibles has a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- By year, Amortization - Intangibles came in at $72.3 million in FY2024 (-3.1%), $74.6 million in FY2023 (+0.3%), $74.4 million in FY2022 (-7.0%) and $80 million in FY2021 (+9.0%).
- The Q2 2026 figure ranks as the lowest quarterly Amortization - Intangibles since Q4 2021.
- Year over year, Amortization - Intangibles has now declined in each of the last three quarters, with an average decline of 7.6% over the last eight quarters.
- The high point for year-over-year Amortization - Intangibles in five years was Q4 2023 (growth of 9.5%); the low point was Q2 2022 (a decline of 63.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $14.4 million (Q1 2026), $17.1 million (Q4 2025) and $18.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 114.46 Bn | 110.07 Bn | 2.98 Bn |
| 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 |
| 9 | Mastercard | 479.32 Bn | 439.24 Bn | - |
| 10 | Cme | 95.24 Bn | 95.24 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.30 Mn |
| Mar 31, 2026 | 14.40 Mn |
| Dec 31, 2025 | 17.10 Mn |
| Sep 30, 2025 | 18.30 Mn |
| Jun 30, 2025 | 16.30 Mn |
| Mar 31, 2025 | 15.80 Mn |
| Dec 31, 2024 | 17.30 Mn |
| Sep 30, 2024 | 18.30 Mn |
| Jun 30, 2024 | 18.20 Mn |
| Mar 31, 2024 | 18.50 Mn |
| Dec 31, 2023 | 18.50 Mn |
| Sep 30, 2023 | 19.60 Mn |
| Jun 30, 2023 | 18.80 Mn |
| Mar 31, 2023 | 17.70 Mn |
| Dec 31, 2022 | 16.90 Mn |
| Sep 30, 2022 | 18.00 Mn |
| Jun 30, 2022 | 18.30 Mn |
| Mar 31, 2022 | 21.20 Mn |
| Dec 31, 2021 | -53.10 Mn |
| Sep 30, 2021 | 37.60 Mn |
API Access
Verisk Analytics Amortization - Intangibles 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=amortization-intangibles&ticker=VRSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();