Verisk Analytics (VRSK) Return on Capital Employed [ROCE] (2009 - 2026)
Verisk Analytics' Return on Capital Employed [ROCE] was 40.49% in Q3 2026, down 0.83 percentage points from 41.31% a year earlier but up 0.40 percentage points from the prior quarter.
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Analysis
Verisk Analytics (VRSK) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Verisk Analytics came in at 45.87%, up 5.11 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of +29.60 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was 40.76% in FY2024 (+17.62 pp), 23.13% in FY2023 (-4.63 pp), 27.77% in FY2022 (+12.15 pp) and 15.61% in FY2021 (-0.66 pp).
- Quarterly Return on Capital Employed [ROCE] has moved between 15.48% (Q4 2021) and 41.31% (Q3 2025) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in four of the last eight quarters, with an average year-over-year change of +1.49 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q4 2022 (a gain of 14.78 percentage points); the worst was Q1 2026 (a drop of 6.34 percentage points).
- Per Business Quant data, VRSK's Return on Capital Employed [ROCE] in the three quarters before Q3 2026 was 40.09% (Q2 2026), 32.40% (Q1 2026) and 34.30% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 236.00 Bn | 234.48 Bn | 739.80 Mn | 47.47% |
| 2 | S&P Global | 137.30 Bn | 132.50 Bn | 2.64 Bn | 16.62% |
| 3 | Moodys | 87.63 Bn | 80.69 Bn | 1.50 Bn | 31.77% |
| 4 | Verisk Analytics | 26.66 Bn | 22.85 Bn | 567.00 Mn | 40.49% |
| 5 | Equifax | 22.03 Bn | 21.43 Bn | 940.10 Mn | 11.82% |
| 6 | TransUnion | 15.46 Bn | 12.30 Bn | - | 8.80% |
| 7 | Factset Research Systems | 11.73 Bn | 10.58 Bn | 308.40 Mn | 22.75% |
| 8 | Morningstar | 9.14 Bn | 7.03 Bn | 431.40 Mn | 21.94% |
| 9 | Mastercard | 572.29 Bn | 532.37 Bn | - | 63.06% |
| 10 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | 12.28% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 40.49% |
| Jun 30, 2026 | 40.09% |
| Mar 31, 2026 | 32.40% |
| Dec 31, 2025 | 34.30% |
| Sep 30, 2025 | 41.31% |
| Jun 30, 2025 | 32.33% |
| Mar 31, 2025 | 38.74% |
| Dec 31, 2024 | 39.49% |
| Sep 30, 2024 | 35.67% |
| Jun 30, 2024 | 35.49% |
| Mar 31, 2024 | 32.69% |
| Dec 31, 2023 | 31.49% |
| Sep 30, 2023 | 32.73% |
| Jun 30, 2023 | 32.91% |
| Mar 31, 2023 | 23.00% |
| Dec 31, 2022 | 30.26% |
| Sep 30, 2022 | 23.35% |
| Jun 30, 2022 | 22.09% |
| Mar 31, 2022 | 23.01% |
| Dec 31, 2021 | 15.48% |
API Access
Verisk Analytics Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=VRSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();