Verisk Analytics (VRSK) Other Non-Current Assets (2010 - 2026)
Verisk Analytics (VRSK) reported Other Non-Current Assets of $455.6 million for Q2 2026, up 3.3% from $441 million a year earlier but down 0.4% from the prior quarter.
Verisk Analytics (VRSK) Other Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Verisk Analytics posted Other Non-Current Assets of $447 million, up 2.1% from FY2024.
- Other Non-Current Assets has a five-year compound annual growth rate of 4.1% (FY2020 to FY2025).
- By year, Other Non-Current Assets came in at $437.9 million in FY2024 (-11.7%), $496.1 million in FY2023 (-81.8%), $2.73 billion in FY2022 (-14.8%) and $3.2 billion in FY2021 (+776.2%).
- Five-year quarterly Other Non-Current Assets spans a low of $385.7 million in Q2 2023 and a high of $3.2 billion in Q4 2021.
- Year over year, Other Non-Current Assets has now increased in each of the last five quarters, with growth averaging 1.9% over the last eight quarters.
- The high point for year-over-year Other Non-Current Assets in five years was Q4 2021 (growth of 776.2%); the low point was Q4 2023 (a decline of 81.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $457.4 million (Q1 2026), $447 million (Q4 2025) and $449 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 895.00 Mn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 1.09 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 55.80 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 455.60 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 359.60 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 408.80 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 69.06 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 28.70 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 12.22 Bn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 2.52 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 455.60 Mn |
| Mar 31, 2026 | 457.40 Mn |
| Dec 31, 2025 | 447.00 Mn |
| Sep 30, 2025 | 449.00 Mn |
| Jun 30, 2025 | 441.00 Mn |
| Mar 31, 2025 | 436.50 Mn |
| Dec 31, 2024 | 437.90 Mn |
| Sep 30, 2024 | 437.00 Mn |
| Jun 30, 2024 | 433.30 Mn |
| Mar 31, 2024 | 438.40 Mn |
| Dec 31, 2023 | 496.10 Mn |
| Sep 30, 2023 | 387.90 Mn |
| Jun 30, 2023 | 385.70 Mn |
| Mar 31, 2023 | 391.80 Mn |
| Dec 31, 2022 | 2.73 Bn |
| Sep 30, 2022 | 440.40 Mn |
| Jun 30, 2022 | 440.90 Mn |
| Mar 31, 2022 | 490.50 Mn |
| Dec 31, 2021 | 3.20 Bn |
| Sep 30, 2021 | 392.70 Mn |
Verisk Analytics Other Non-Current Assets 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-non-current-assets&ticker=VRSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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-non-current-assets&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();