Verisk Analytics (VRSK) Current Debt (2010 - 2025)
Verisk Analytics (VRSK) recorded Current Debt of $1.5 billion in FY2025.
Analysis
Verisk Analytics (VRSK) Current Debt (2010 - 2025) Analysis & Trends
Starting with FY2009, Verisk Analytics' Current Debt history includes 16 years.
- The FY2025 figure is the highest annual Current Debt in data going back to FY2009.
- Per Business Quant data, VRSK's Current Debt was -$1.27 billion in FY2023, $380 million in FY2022 (-32.1%) and $560 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.73 Bn | 112.33 Bn | 2.98 Bn | - |
| 2 | Moodys | 79.69 Bn | 72.12 Bn | 1.67 Bn | - |
| 3 | Msci | 39.48 Bn | 37.82 Bn | 717.10 Mn | - |
| 4 | Verisk Analytics | 21.83 Bn | 16.47 Bn | 572.90 Mn | - |
| 5 | Equifax | 17.14 Bn | 16.54 Bn | 926.40 Mn | 432.90 Mn |
| 6 | TransUnion | 12.68 Bn | 9.66 Bn | - | - |
| 7 | Factset Research Systems | 9.57 Bn | 8.33 Bn | 310.73 Mn | - |
| 8 | Morningstar | 7.19 Bn | 5.09 Bn | 423.90 Mn | - |
| 9 | Mastercard | 494.77 Bn | 454.69 Bn | - | - |
| 10 | Cme | 94.58 Bn | 94.58 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 1.50 Bn |
| Mar 31, 2023 | -1.27 Bn |
| Dec 31, 2022 | 50.00 Mn |
| Sep 30, 2022 | 290.00 Mn |
| Jun 30, 2022 | -160.00 Mn |
| Mar 31, 2022 | 200.00 Mn |
| Dec 31, 2021 | 205.00 Mn |
| Sep 30, 2021 | 15.00 Mn |
| Jun 30, 2021 | 390.00 Mn |
| Dec 31, 2020 | 50.00 Mn |
| Jun 30, 2020 | -420.00 Mn |
| Mar 31, 2020 | -75.00 Mn |
| Dec 31, 2019 | 485.00 Mn |
| Sep 30, 2019 | -60.00 Mn |
| Jun 30, 2019 | -100.00 Mn |
| Mar 31, 2019 | -245.00 Mn |
| Dec 31, 2018 | 130.00 Mn |
| Sep 30, 2018 | -195.00 Mn |
| Mar 31, 2018 | -235.00 Mn |
| Dec 31, 2017 | 120.00 Mn |
API Access
Verisk Analytics Current Debt 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=current-debt&ticker=VRSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-debt", "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=current-debt&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();