Verisk Analytics (VRSK) Return on Sales [ROS] (2009 - 2026)
Verisk Analytics (VRSK) recorded Return on Sales [ROS] of 45.15% in Q3 2026, up 0.13 percentage points from 45.02% a year earlier and up 0.05 percentage points from the prior quarter.
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Analysis
Verisk Analytics (VRSK) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Verisk Analytics' Return on Sales [ROS] came in at 43.91% as of Sep 30, 2026, down 0.54 percentage points year-over-year; for FY2025, it came in at 43.74%, up 0.22 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +1.60 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] 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).
- The Q3 2026 figure is the highest quarterly Return on Sales [ROS] since Q2 2025.
- On a year-over-year basis, Return on Sales [ROS] rose in six of the last eight quarters, with an average year-over-year change of +0.93 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 62.28 percentage points in Q1 2022, against a drop of 51.63 percentage points in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 45.11% (Q2 2026), 45.00% (Q1 2026) and 40.27% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 236.00 Bn | 234.48 Bn | 739.80 Mn | 56.29% |
| 2 | S&P Global | 137.30 Bn | 132.50 Bn | 2.64 Bn | 53.18% |
| 3 | Moodys | 87.63 Bn | 80.69 Bn | 1.50 Bn | 44.78% |
| 4 | Verisk Analytics | 26.66 Bn | 22.85 Bn | 567.00 Mn | 45.15% |
| 5 | Equifax | 22.03 Bn | 21.43 Bn | 940.10 Mn | 20.99% |
| 6 | TransUnion | 15.46 Bn | 12.30 Bn | - | 20.36% |
| 7 | Factset Research Systems | 11.73 Bn | 10.58 Bn | 308.40 Mn | 24.68% |
| 8 | Morningstar | 9.14 Bn | 7.03 Bn | 431.40 Mn | 24.91% |
| 9 | Mastercard | 572.29 Bn | 532.37 Bn | - | 59.77% |
| 10 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | 65.70% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 45.15% |
| 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% |
API Access
Verisk Analytics Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=VRSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();