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.
Powered by 
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 | 136.31 Bn | 126.16 Bn | 2.64 Bn | 2.18 Bn |
| 2 | Moodys | 87.21 Bn | 80.13 Bn | 1.50 Bn | 1.03 Bn |
| 3 | Msci | 46.37 Bn | 44.85 Bn | 739.80 Mn | 555.70 Mn |
| 4 | Verisk Analytics | 26.47 Bn | 21.11 Bn | 572.90 Mn | 445.40 Mn |
| 5 | Equifax | 22.25 Bn | 21.52 Bn | 940.10 Mn | 551.70 Mn |
| 6 | TransUnion | 15.62 Bn | 12.32 Bn | - | 431.20 Mn |
| 7 | Factset Research Systems | 11.87 Bn | 10.72 Bn | 308.40 Mn | 203.75 Mn |
| 8 | Morningstar | 9.09 Bn | 6.98 Bn | 431.40 Mn | 220.50 Mn |
| 9 | Mastercard | 577.45 Bn | 537.54 Bn | - | 6.91 Bn |
| 10 | Cme | 108.51 Bn | 96.85 Bn | - | 1.22 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 445.40 Mn |
| Mar 31, 2026 | 437.30 Mn |
| Dec 31, 2025 | 413.30 Mn |
| Sep 30, 2025 | 429.10 Mn |
| Jun 30, 2025 | 437.40 Mn |
| Mar 31, 2025 | 413.90 Mn |
| Dec 31, 2024 | 393.10 Mn |
| Sep 30, 2024 | 388.80 Mn |
| Jun 30, 2024 | 396.80 Mn |
| Mar 31, 2024 | 383.70 Mn |
| Dec 31, 2023 | 337.10 Mn |
| Sep 30, 2023 | 349.20 Mn |
| Jun 30, 2023 | 371.80 Mn |
| Mar 31, 2023 | 356.50 Mn |
| Dec 31, 2022 | 350.60 Mn |
| Sep 30, 2022 | 342.10 Mn |
| Jun 30, 2022 | 337.60 Mn |
| Mar 31, 2022 | 717.30 Mn |
| Dec 31, 2021 | 201.60 Mn |
| Sep 30, 2021 | 379.00 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();