Verisk Analytics (VRSK) Total Current Liabilities (2010 - 2026)
Verisk Analytics (VRSK) reported Total Current Liabilities of $1.12 billion for Q2 2026, up 24.1% from $899.4 million a year earlier but down 5.5% from the prior quarter.
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Analysis
Verisk Analytics (VRSK) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Verisk Analytics posted Total Current Liabilities of $2.3 billion, up 85.7% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of 10.0% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $1.24 billion in FY2024 (+60.6%), $771.4 million in FY2023 (-66.7%), $2.32 billion in FY2022 (+25.5%) and $1.85 billion in FY2021 (+29.2%).
- Five-year quarterly Total Current Liabilities spans a low of $771.4 million in Q4 2023 and a high of $2.4 billion in Q1 2022.
- Year over year, Total Current Liabilities gained in six of the last eight quarters, with growth averaging 38.8%.
- The high point for year-over-year Total Current Liabilities in five years was Q4 2025 (growth of 85.7%); the low point was Q4 2023 (a decline of 66.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.18 billion (Q1 2026), $2.3 billion (Q4 2025) and $2.26 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.73 Bn | 112.33 Bn | 2.98 Bn | 9.13 Bn |
| 2 | Moodys | 79.69 Bn | 72.12 Bn | 1.67 Bn | 3.35 Bn |
| 3 | Msci | 39.48 Bn | 37.82 Bn | 717.10 Mn | 1.61 Bn |
| 4 | Verisk Analytics | 21.83 Bn | 16.47 Bn | 572.90 Mn | 1.12 Bn |
| 5 | Equifax | 17.14 Bn | 16.54 Bn | 926.40 Mn | 2.63 Bn |
| 6 | TransUnion | 12.68 Bn | 9.66 Bn | - | 1.15 Bn |
| 7 | Factset Research Systems | 9.57 Bn | 8.33 Bn | 310.73 Mn | 1.06 Bn |
| 8 | Morningstar | 7.19 Bn | 5.09 Bn | 423.90 Mn | 980.30 Mn |
| 9 | Mastercard | 494.77 Bn | 454.69 Bn | - | 25.00 Bn |
| 10 | Cme | 94.58 Bn | 94.58 Bn | - | 158.72 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.12 Bn |
| Mar 31, 2026 | 1.18 Bn |
| Dec 31, 2025 | 2.30 Bn |
| Sep 30, 2025 | 2.26 Bn |
| Jun 30, 2025 | 899.40 Mn |
| Mar 31, 2025 | 1.40 Bn |
| Dec 31, 2024 | 1.24 Bn |
| Sep 30, 2024 | 1.34 Bn |
| Jun 30, 2024 | 1.37 Bn |
| Mar 31, 2024 | 929.80 Mn |
| Dec 31, 2023 | 771.40 Mn |
| Sep 30, 2023 | 784.10 Mn |
| Jun 30, 2023 | 800.80 Mn |
| Mar 31, 2023 | 890.10 Mn |
| Dec 31, 2022 | 2.32 Bn |
| Sep 30, 2022 | 1.98 Bn |
| Jun 30, 2022 | 2.11 Bn |
| Mar 31, 2022 | 2.40 Bn |
| Dec 31, 2021 | 1.85 Bn |
| Sep 30, 2021 | 1.84 Bn |
API Access
Verisk Analytics Total 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-current-liabilities&ticker=VRSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();