Verisk Analytics (VRSK) Operating Margin (2010 - 2026)
Verisk Analytics (VRSK) reported Operating Margin of 45.11% for Q2 2026, down 0.75 percentage points from 45.86% a year earlier but up 0.10 percentage points from the prior quarter.
Verisk Analytics (VRSK) Operating Margin (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Verisk Analytics' Operating Margin came in at 43.86%, down 0.08 percentage points year-over-year; for FY2025, it came in at 43.74%, up 0.22 percentage points from FY2024.
- Operating Margin has a five-year change of +1.60 percentage points (FY2020 to FY2025).
- By year, Operating Margin came in at 43.51% in FY2024 (+1.31 pp), 42.21% in FY2023 (-14.12 pp), 56.33% in FY2022 (+19.32 pp) and 37.01% in FY2021 (-5.13 pp).
- Five-year quarterly Operating Margin spans a low of 36.99% in Q4 2023 and a high of 96.77% in Q1 2022.
- Year over year, Operating Margin gained in six of the last eight quarters, with an average year-over-year change of +1.10 percentage points.
- The high point for year-over-year Operating Margin in five years was Q1 2022 (a gain of 62.28 percentage points); the low point was Q1 2023 (a drop of 51.63 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 45.00% (Q1 2026), 40.27% (Q4 2025) and 45.02% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 136.14 Bn | 125.99 Bn | 2.64 Bn | 53.18% |
| 2 | Moodys | 87.37 Bn | 80.29 Bn | 1.50 Bn | 44.78% |
| 3 | Msci | 46.53 Bn | 45.01 Bn | 739.80 Mn | 56.29% |
| 4 | Verisk Analytics | 25.76 Bn | 20.40 Bn | 572.90 Mn | 45.11% |
| 5 | Equifax | 21.57 Bn | 20.84 Bn | 940.10 Mn | 20.99% |
| 6 | TransUnion | 15.42 Bn | 12.11 Bn | - | 20.36% |
| 7 | Factset Research Systems | 11.51 Bn | 10.36 Bn | 308.40 Mn | 24.68% |
| 8 | Morningstar | 9.02 Bn | 6.91 Bn | 431.40 Mn | 24.91% |
| 9 | Mastercard | 571.76 Bn | 531.85 Bn | - | 59.77% |
| 10 | Cme | 109.34 Bn | 97.67 Bn | - | 65.70% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.11% |
| Mar 31, 2026 | 45.00% |
| Dec 31, 2025 | 40.27% |
| Sep 30, 2025 | 45.02% |
| Jun 30, 2025 | 45.86% |
| Mar 31, 2025 | 43.84% |
| Dec 31, 2024 | 43.00% |
| Sep 30, 2024 | 42.95% |
| Jun 30, 2024 | 44.46% |
| Mar 31, 2024 | 43.66% |
| Dec 31, 2023 | 36.99% |
| Sep 30, 2023 | 41.48% |
| Jun 30, 2023 | 45.33% |
| Mar 31, 2023 | 45.14% |
| Dec 31, 2022 | 44.81% |
| Sep 30, 2022 | 41.57% |
| Jun 30, 2022 | 40.40% |
| Mar 31, 2022 | 96.77% |
| Dec 31, 2021 | 45.54% |
| Sep 30, 2021 | 38.06% |
Verisk Analytics Operating 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=operating-margin&ticker=VRSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();