Verisk Analytics (VRSK) Long-Term Debt Issuances (2011 - 2026)
Verisk Analytics' Long-Term Debt Issuances was $999 million in Q1 2026, up 43.1% from $698.3 million a year earlier.
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Analysis
Verisk Analytics (VRSK) Long-Term Debt Issuances (2011 - 2026) Analysis & Trends
For FY2025, Long-Term Debt Issuances at Verisk Analytics came in at $698.3 million, up 18.3% from FY2024.
- Long-Term Debt Issuances shows a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Issuances was $590.2 million in FY2024 (+19.2%) and $495.2 million in FY2023.
- The Q1 2026 figure marks the highest quarterly Long-Term Debt Issuances in data going back to Q2 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 136.60 Bn | 126.45 Bn | 2.64 Bn | -12.00 Mn |
| 2 | Moodys | 87.36 Bn | 80.29 Bn | 1.50 Bn | - |
| 3 | Msci | 46.52 Bn | 45.00 Bn | 739.80 Mn | 675.00 Mn |
| 4 | Verisk Analytics | 26.51 Bn | 21.15 Bn | 572.90 Mn | - |
| 5 | Equifax | 22.26 Bn | 21.54 Bn | 940.10 Mn | - |
| 6 | TransUnion | 15.70 Bn | 12.39 Bn | - | - |
| 7 | Factset Research Systems | 11.87 Bn | 10.72 Bn | 308.40 Mn | 145.93 Mn |
| 8 | Morningstar | 9.12 Bn | 7.01 Bn | 431.40 Mn | 30.00 Mn |
| 9 | Mastercard | 579.47 Bn | 539.56 Bn | - | - |
| 10 | Cme | 108.68 Bn | 97.01 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 999.00 Mn |
| Mar 31, 2025 | 698.30 Mn |
| Jun 30, 2024 | 590.20 Mn |
| Mar 31, 2023 | 495.20 Mn |
| Jun 30, 2020 | 494.80 Mn |
| Sep 30, 2019 | 221.80 Mn |
| Mar 31, 2019 | 397.90 Mn |
| Dec 31, 2015 | 434,000.00 |
| Dec 31, 2011 | 247.60 Mn |
API Access
Verisk Analytics Long-Term Debt Issuances 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-issuances&ticker=VRSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "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-issuances&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();