Verisk Analytics (VRSK) Short-Term Debt repayments (2010 - 2023)
Verisk Analytics' Short-Term Debt repayments was $420 million in Q2 2020, up 320.0% from $100 million a year earlier and up 460.0% from the prior quarter.
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Analysis
Verisk Analytics (VRSK) Short-Term Debt repayments (2010 - 2023) Analysis & Trends
For FY2015, Short-Term Debt repayments at Verisk Analytics came in at $170 million.
- Short-Term Debt repayments shows a four-year compound annual growth rate of -21.2% (FY2011 to FY2015).
- In earlier years, Short-Term Debt repayments was $347.22 million in FY2012 (-21.1%) and $440 million in FY2011.
- The Q2 2020 figure marks the highest quarterly Short-Term Debt repayments in data going back to Q1 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 133.88 Bn | 124.46 Bn | 2.98 Bn | - |
| 2 | Moodys | 84.51 Bn | 77.44 Bn | 1.50 Bn | - |
| 3 | Msci | 44.68 Bn | 43.16 Bn | 739.80 Mn | - |
| 4 | Verisk Analytics | 26.54 Bn | 21.17 Bn | 572.90 Mn | - |
| 5 | Equifax | 21.92 Bn | 21.19 Bn | 940.10 Mn | - |
| 6 | TransUnion | 16.07 Bn | 12.89 Bn | - | - |
| 7 | Factset Research Systems | 12.30 Bn | 11.15 Bn | 308.40 Mn | - |
| 8 | Morningstar | 8.46 Bn | 6.36 Bn | 423.90 Mn | - |
| 9 | Mastercard | 557.08 Bn | 517.01 Bn | - | - |
| 10 | Cme | 110.43 Bn | 98.52 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 125.00 Mn |
| Jun 30, 2020 | 20.00 Mn |
| Mar 31, 2020 | 75.00 Mn |
| Dec 31, 2019 | -405.00 Mn |
| Sep 30, 2019 | 60.00 Mn |
| Jun 30, 2019 | 100.00 Mn |
| Mar 31, 2019 | 245.00 Mn |
| Mar 31, 2018 | 235.00 Mn |
| Mar 31, 2017 | 100.00 Mn |
| Jun 30, 2015 | -80.00 Mn |
| Mar 31, 2015 | 130.00 Mn |
| Mar 31, 2013 | 10.00 Mn |
| Dec 31, 2011 | 145.00 Mn |
| Jun 30, 2011 | 279.05 Mn |
| Mar 31, 2011 | 15.95 Mn |
| Jun 30, 2010 | -62.95 Mn |
| Mar 31, 2010 | 62.95 Mn |
API Access
Verisk Analytics Short-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=short-term-debt-repayments&ticker=VRSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-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=short-term-debt-repayments&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();