Verisk Analytics (VRSK) Short-Term Debt issuances (2010 - 2025)
Verisk Analytics' Short-Term Debt issuances came in at $1.5 billion for Q3 2025.
Analysis
Verisk Analytics (VRSK) Short-Term Debt issuances (2010 - 2025) Analysis & Trends
For FY2020, Verisk Analytics' Short-Term Debt issuances was $20 million.
- Short-Term Debt issuances carries a three-year compound annual growth rate of -64.7% (FY2017 to FY2020).
- Going back by year, Short-Term Debt issuances was $455 million in FY2017.
- The Q3 2025 figure represents the highest quarterly Short-Term Debt issuances in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 236.00 Bn | 234.48 Bn | 739.80 Mn | - |
| 2 | S&P Global | 137.30 Bn | 132.50 Bn | 2.64 Bn | - |
| 3 | Moodys | 87.63 Bn | 80.69 Bn | 1.50 Bn | - |
| 4 | Verisk Analytics | 26.66 Bn | 22.85 Bn | 567.00 Mn | - |
| 5 | Equifax | 22.03 Bn | 21.43 Bn | 940.10 Mn | - |
| 6 | TransUnion | 15.46 Bn | 12.30 Bn | - | - |
| 7 | Factset Research Systems | 11.73 Bn | 10.58 Bn | 308.40 Mn | - |
| 8 | Morningstar | 9.14 Bn | 7.03 Bn | 431.40 Mn | - |
| 9 | Mastercard | 572.29 Bn | 532.37 Bn | - | - |
| 10 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 1.50 Bn |
| Dec 31, 2022 | -125.00 Mn |
| Mar 31, 2022 | 125.00 Mn |
| Mar 31, 2020 | 20.00 Mn |
| Dec 31, 2018 | -121.40 Mn |
| Dec 31, 2015 | 830.00 Mn |
| Jun 30, 2015 | -1.47 Bn |
| Dec 31, 2011 | 120.00 Mn |
| Sep 30, 2011 | 120.00 Mn |
| Dec 31, 2010 | 215.00 Mn |
API Access
Verisk Analytics Short-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=short-term-debt-issuances&ticker=VRSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-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=short-term-debt-issuances&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();