Verisk Analytics (VRSK) EBITDA Margin (2010 - 2026)
Verisk Analytics (VRSK) posted EBITDA Margin of 55.10% for Q2 2026, down 1.41 percentage points from 56.51% a year earlier and down 0.67 percentage points from the prior quarter.
Verisk Analytics (VRSK) EBITDA Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at Verisk Analytics was 54.26%, down 0.34 percentage points year-over-year; for FY2025, it came in at 54.37%, up 0.24 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of -3.55 percentage points (FY2020 to FY2025).
- In prior years, Verisk Analytics' EBITDA Margin was 54.13% in FY2024 (+1.43 pp), 52.70% in FY2023 (-17.24 pp), 69.94% in FY2022 (+17.36 pp) and 52.59% in FY2021 (-5.33 pp).
- Quarterly EBITDA Margin has run from a low of 49.70% in Q4 2023 to a high of 111.40% in Q1 2022 over five years.
- On a year-over-year basis, EBITDA Margin increased in six of the last eight quarters, with an average year-over-year change of +0.77 percentage points.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q1 2022, with a gain of 64.04 percentage points; the weakest was Q1 2023, with a drop of 56.71 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was 55.78% (Q1 2026), 50.40% (Q4 2025) and 55.73% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 129.64 Bn | 120.23 Bn | 2.98 Bn | 51.11% |
| 2 | Moodys | 83.36 Bn | 75.65 Bn | 1.67 Bn | 53.64% |
| 3 | Msci | 43.12 Bn | 41.46 Bn | 717.10 Mn | 62.21% |
| 4 | Verisk Analytics | 24.94 Bn | 19.58 Bn | 572.90 Mn | 55.24% |
| 5 | Equifax | 20.99 Bn | 20.27 Bn | 926.40 Mn | 29.74% |
| 6 | TransUnion | 15.08 Bn | 11.90 Bn | - | 31.96% |
| 7 | Factset Research Systems | 11.28 Bn | 10.04 Bn | 310.73 Mn | 34.06% |
| 8 | Morningstar | 8.00 Bn | 5.90 Bn | 423.90 Mn | 32.28% |
| 9 | Mastercard | 547.47 Bn | 507.39 Bn | - | 70.99% |
| 10 | Cme | 106.56 Bn | 94.66 Bn | - | 69.82% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.24% |
| Mar 31, 2026 | 55.88% |
| Dec 31, 2025 | 53.07% |
| Sep 30, 2025 | 55.85% |
| Jun 30, 2025 | 56.61% |
| Mar 31, 2025 | 54.97% |
| Dec 31, 2024 | 53.44% |
| Sep 30, 2024 | 53.61% |
| Jun 30, 2024 | 55.36% |
| Mar 31, 2024 | 54.50% |
| Dec 31, 2023 | 49.78% |
| Sep 30, 2023 | 51.53% |
| Jun 30, 2023 | 55.08% |
| Mar 31, 2023 | 54.71% |
| Dec 31, 2022 | 55.61% |
| Sep 30, 2022 | 56.07% |
| Jun 30, 2022 | 55.09% |
| Mar 31, 2022 | 111.45% |
| Dec 31, 2021 | 87.69% |
| Sep 30, 2021 | 49.93% |
Verisk Analytics EBITDA Margin 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-margin&ticker=VRSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();