Verisk Analytics (VRSK) Total Non-Current Liabilities (2010 - 2026)
Verisk Analytics (VRSK) recorded Total Non-Current Liabilities of $5.65 billion in Q2 2026, up 26.7% from $4.46 billion a year earlier but down 1.2% from the prior quarter.
Powered by 
Analysis
Verisk Analytics (VRSK) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Verisk Analytics reported Total Non-Current Liabilities of $5.86 billion, up 41.7% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 4.1% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $4.14 billion in FY2024 (+2.7%), $4.03 billion in FY2023 (-22.0%), $5.16 billion in FY2022 (+4.9%) and $4.92 billion in FY2021 (+2.6%).
- Quarterly Total Non-Current Liabilities has ranged from $3.95 billion in Q3 2023 to $5.86 billion in Q4 2025 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased for ten consecutive quarters, with growth averaging 19.2% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 41.7% in Q4 2025, against a decline of 25.1% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.72 billion (Q1 2026), $5.86 billion (Q4 2025) and $5.84 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 30.53 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 10.72 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 8.15 Bn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 5.65 Bn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 7.33 Bn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 7.06 Bn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 2.12 Bn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 2.90 Bn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 47.50 Bn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 167.36 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.65 Bn |
| Mar 31, 2026 | 5.72 Bn |
| Dec 31, 2025 | 5.86 Bn |
| Sep 30, 2025 | 5.84 Bn |
| Jun 30, 2025 | 4.46 Bn |
| Mar 31, 2025 | 4.97 Bn |
| Dec 31, 2024 | 4.14 Bn |
| Sep 30, 2024 | 4.24 Bn |
| Jun 30, 2024 | 4.31 Bn |
| Mar 31, 2024 | 4.19 Bn |
| Dec 31, 2023 | 4.03 Bn |
| Sep 30, 2023 | 3.95 Bn |
| Jun 30, 2023 | 3.97 Bn |
| Mar 31, 2023 | 4.07 Bn |
| Dec 31, 2022 | 5.16 Bn |
| Sep 30, 2022 | 4.93 Bn |
| Jun 30, 2022 | 5.10 Bn |
| Mar 31, 2022 | 5.44 Bn |
| Dec 31, 2021 | 4.92 Bn |
| Sep 30, 2021 | 4.88 Bn |
API Access
Verisk Analytics Total 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=total-non-current-liabilities&ticker=VRSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();