Verisk Analytics (VRSK) Other Non-Current Liabilities (2010 - 2026)
Verisk Analytics' Other Non-Current Liabilities was $32.3 million in Q2 2026, up 66.5% from $19.4 million a year earlier but down 29.5% from the prior quarter.
Verisk Analytics (VRSK) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Other Non-Current Liabilities at Verisk Analytics came in at $26.8 million, up 13.6% from FY2024.
- Other Non-Current Liabilities shows a five-year compound annual growth rate of -16.2% (FY2020 to FY2025).
- In earlier years, Other Non-Current Liabilities was $23.6 million in FY2024 (+61.6%), $14.6 million in FY2023 (-51.3%), $30 million in FY2022 (-30.7%) and $43.3 million in FY2021 (-33.1%).
- Quarterly Other Non-Current Liabilities has moved between $14.6 million (Q4 2023) and $48.7 million (Q3 2021) over five years.
- Compared with a year earlier, Other Non-Current Liabilities has increased for four straight quarters, with growth averaging 32.2% over the last eight quarters.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was Q2 2026 (growth of 66.5%); the worst was Q3 2023 (a decline of 61.1%).
- Per Business Quant data, VRSK's Other Non-Current Liabilities in the three quarters before Q2 2026 was $45.8 million (Q1 2026), $26.8 million (Q4 2025) and $22.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.30 Mn |
| Mar 31, 2026 | 45.80 Mn |
| Dec 31, 2025 | 26.80 Mn |
| Sep 30, 2025 | 22.40 Mn |
| Jun 30, 2025 | 19.40 Mn |
| Mar 31, 2025 | 28.20 Mn |
| Dec 31, 2024 | 23.60 Mn |
| Sep 30, 2024 | 20.20 Mn |
| Jun 30, 2024 | 22.60 Mn |
| Mar 31, 2024 | 21.10 Mn |
| Dec 31, 2023 | 14.60 Mn |
| Sep 30, 2023 | 16.40 Mn |
| Jun 30, 2023 | 36.80 Mn |
| Mar 31, 2023 | 37.00 Mn |
| Dec 31, 2022 | 30.00 Mn |
| Sep 30, 2022 | 42.20 Mn |
| Jun 30, 2022 | 42.40 Mn |
| Mar 31, 2022 | 47.50 Mn |
| Dec 31, 2021 | 43.30 Mn |
| Sep 30, 2021 | 48.70 Mn |
Verisk Analytics Other Non-Current Liabilities 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-liabilities&ticker=VRSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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-liabilities&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();