Verisk Analytics (VRSK) Long-Term Debt Repayments (2011 - 2026)
Verisk Analytics' Long-Term Debt Repayments came in at $1.25 billion for Q1 2026.
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Analysis
Verisk Analytics (VRSK) Long-Term Debt Repayments (2011 - 2026) Analysis & Trends
For FY2019, Verisk Analytics' Long-Term Debt Repayments was $250 million.
- Long-Term Debt Repayments carries a four-year compound annual growth rate of 49.5% (FY2015 to FY2019).
- Going back by year, Long-Term Debt Repayments was $50 million in FY2015.
- The Q1 2026 figure represents the lowest quarterly Long-Term Debt Repayments since Q4 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 134.82 Bn | 125.41 Bn | 2.98 Bn | - |
| 2 | Moodys | 85.23 Bn | 77.52 Bn | 1.67 Bn | - |
| 3 | Msci | 44.79 Bn | 43.27 Bn | 739.80 Mn | 340.00 Mn |
| 4 | Verisk Analytics | 26.44 Bn | 21.08 Bn | 572.90 Mn | - |
| 5 | Equifax | 21.95 Bn | 21.22 Bn | 940.10 Mn | - |
| 6 | TransUnion | 16.10 Bn | 12.93 Bn | - | 23.10 Mn |
| 7 | Factset Research Systems | 12.30 Bn | 11.16 Bn | 308.40 Mn | 167.50 Mn |
| 8 | Morningstar | 8.45 Bn | 6.35 Bn | 423.90 Mn | 84.70 Mn |
| 9 | Mastercard | 555.54 Bn | 515.46 Bn | - | - |
| 10 | Cme | 109.89 Bn | 97.99 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.25 Bn |
| Jun 30, 2025 | 500.00 Mn |
| Dec 31, 2023 | 125.00 Mn |
| Sep 30, 2022 | 350.00 Mn |
| Jun 30, 2021 | 450.00 Mn |
| Mar 31, 2021 | 50.00 Mn |
| Mar 31, 2019 | 250.00 Mn |
| Dec 31, 2015 | -170.00 Mn |
| Dec 31, 2013 | 35.00 Mn |
| Sep 30, 2013 | 100.00 Mn |
| Sep 30, 2011 | 75.00 Mn |
API Access
Verisk Analytics Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=VRSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();