Verisk Analytics (VRSK) Interest Expenses (2010 - 2026)
Verisk Analytics (VRSK) posted Interest Expenses of $52.8 million for Q2 2026, up 48.7% from $35.5 million a year earlier and up 22.2% from the prior quarter.
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Analysis
Verisk Analytics (VRSK) Interest Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at Verisk Analytics was $195.1 million, up 41.0% year-over-year; for FY2025, it came in at $170.9 million, up 37.2% from FY2024.
- Annual Interest Expenses shows a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- In prior years, Verisk Analytics' Interest Expenses was $124.6 million in FY2024 (+7.9%), $115.5 million in FY2023 (-16.8%), $138.8 million in FY2022 (+9.3%) and $127 million in FY2021 (-8.2%).
- Quarterly Interest Expenses has run from a low of $26.4 million in Q1 2023 to a high of $56.9 million in Q4 2025 over five years.
- On a year-over-year basis, Interest Expenses has increased in each of the last eight quarters, with growth averaging 30.5% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q4 2025, with growth of 64.9%; the weakest was Q4 2023, with a decline of 31.8%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $43.2 million (Q1 2026), $56.9 million (Q4 2025) and $42.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 87.00 Mn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | - |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 71.00 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 52.80 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 59.80 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 65.90 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 13.84 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | - |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 218.00 Mn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 43.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.80 Mn |
| Mar 31, 2026 | 43.20 Mn |
| Dec 31, 2025 | 56.90 Mn |
| Sep 30, 2025 | 42.20 Mn |
| Jun 30, 2025 | 35.50 Mn |
| Mar 31, 2025 | 36.30 Mn |
| Dec 31, 2024 | 34.50 Mn |
| Sep 30, 2024 | 32.10 Mn |
| Jun 30, 2024 | 29.10 Mn |
| Mar 31, 2024 | 28.90 Mn |
| Dec 31, 2023 | 28.10 Mn |
| Sep 30, 2023 | 29.40 Mn |
| Jun 30, 2023 | 31.60 Mn |
| Mar 31, 2023 | 26.40 Mn |
| Dec 31, 2022 | 41.20 Mn |
| Sep 30, 2022 | 34.40 Mn |
| Jun 30, 2022 | 31.90 Mn |
| Mar 31, 2022 | 31.30 Mn |
| Dec 31, 2021 | 30.20 Mn |
| Sep 30, 2021 | 29.90 Mn |
API Access
Verisk Analytics Interest Expenses 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=interest-expenses&ticker=VRSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();