Verisk Analytics (VRSK) EBITDA (2010 - 2026)
Verisk Analytics (VRSK) posted EBITDA of $444.3 million for Q2 2026, up 1.8% from $436.6 million a year earlier and up 1.8% from the prior quarter.
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Analysis
Verisk Analytics (VRSK) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Verisk Analytics was $1.7 billion, up 4.4% year-over-year; for FY2025, it came in at $1.67 billion, up 7.1% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- In prior years, Verisk Analytics' EBITDA was $1.56 billion in FY2024 (+10.4%), $1.41 billion in FY2023 (-19.1%), $1.75 billion in FY2022 (+34.9%) and $1.3 billion in FY2021 (-1.5%).
- The Q2 2026 figure stands as the highest quarterly EBITDA since Q1 2022.
- On a year-over-year basis, EBITDA increased in seven of the last eight quarters, with growth averaging 8.0%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q1 2022, with growth of 108.5%; the weakest was Q1 2023, with a decline of 50.3%.
- According to Business Quant data, EBITDA for the three prior quarters was $436.5 million (Q1 2026), $392.5 million (Q4 2025) and $428.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.73 Bn | 112.33 Bn | 2.98 Bn | 2.12 Bn |
| 2 | Moodys | 79.69 Bn | 72.12 Bn | 1.67 Bn | 1.17 Bn |
| 3 | Msci | 39.48 Bn | 37.82 Bn | 717.10 Mn | 537.50 Mn |
| 4 | Verisk Analytics | 21.83 Bn | 16.47 Bn | 572.90 Mn | 444.30 Mn |
| 5 | Equifax | 17.14 Bn | 16.54 Bn | 926.40 Mn | 505.60 Mn |
| 6 | TransUnion | 12.68 Bn | 9.66 Bn | - | 418.50 Mn |
| 7 | Factset Research Systems | 9.57 Bn | 8.33 Bn | 310.73 Mn | 212.17 Mn |
| 8 | Morningstar | 7.19 Bn | 5.09 Bn | 423.90 Mn | 214.10 Mn |
| 9 | Mastercard | 494.77 Bn | 454.69 Bn | - | 6.59 Bn |
| 10 | Cme | 94.58 Bn | 94.58 Bn | - | 1.19 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 444.30 Mn |
| Mar 31, 2026 | 436.50 Mn |
| Dec 31, 2025 | 392.50 Mn |
| Sep 30, 2025 | 428.20 Mn |
| Jun 30, 2025 | 436.60 Mn |
| Mar 31, 2025 | 413.30 Mn |
| Dec 31, 2024 | 392.70 Mn |
| Sep 30, 2024 | 387.90 Mn |
| Jun 30, 2024 | 395.90 Mn |
| Mar 31, 2024 | 383.30 Mn |
| Dec 31, 2023 | 336.60 Mn |
| Sep 30, 2023 | 348.80 Mn |
| Jun 30, 2023 | 371.30 Mn |
| Mar 31, 2023 | 356.40 Mn |
| Dec 31, 2022 | 350.40 Mn |
| Sep 30, 2022 | 341.90 Mn |
| Jun 30, 2022 | 337.20 Mn |
| Mar 31, 2022 | 717.00 Mn |
| Dec 31, 2021 | 201.30 Mn |
| Sep 30, 2021 | 378.60 Mn |
API Access
Verisk Analytics EBITDA 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=ebitda&ticker=VRSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();