Verisk Analytics (VRSK) Operating Leases (2019 - 2026)
Verisk Analytics (VRSK) posted Operating Leases of $118.5 million for Q2 2026, down 20.9% from $149.8 million a year earlier and down 5.0% from the prior quarter.
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Analysis
Verisk Analytics (VRSK) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Verisk Analytics' Operating Leases came in at $136.9 million, down 13.7% from FY2024.
- Annual Operating Leases shows a five-year compound annual growth rate of -12.8% (FY2020 to FY2025).
- In prior years, Verisk Analytics' Operating Leases was $158.7 million in FY2024 (-18.9%), $195.6 million in FY2023 (+3.0%), $189.9 million in FY2022 (-17.9%) and $231.3 million in FY2021 (-14.8%).
- The Q2 2026 figure stands as the lowest quarterly Operating Leases in data going back to Q1 2019.
- On a year-over-year basis, Operating Leases has declined in each of the last eight quarters, with an average decline of 17.5% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was Q3 2021, with growth of 7.8%; the weakest was Q2 2025, with a decline of 22.5%.
- According to Business Quant data, Operating Leases for the three prior quarters was $124.7 million (Q1 2026), $136.9 million (Q4 2025) and $144 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 116.73 Bn | 112.33 Bn | 2.98 Bn |
| 2 | Moodys | 79.69 Bn | 72.12 Bn | 1.67 Bn |
| 3 | Msci | 39.48 Bn | 37.82 Bn | 717.10 Mn |
| 4 | Verisk Analytics | 21.83 Bn | 16.47 Bn | 572.90 Mn |
| 5 | Equifax | 17.14 Bn | 16.54 Bn | 926.40 Mn |
| 6 | TransUnion | 12.68 Bn | 9.66 Bn | - |
| 7 | Factset Research Systems | 9.57 Bn | 8.33 Bn | 310.73 Mn |
| 8 | Morningstar | 7.19 Bn | 5.09 Bn | 423.90 Mn |
| 9 | Mastercard | 494.77 Bn | 454.69 Bn | - |
| 10 | Cme | 94.58 Bn | 94.58 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 118.50 Mn |
| Mar 31, 2026 | 124.70 Mn |
| Dec 31, 2025 | 136.90 Mn |
| Sep 30, 2025 | 144.00 Mn |
| Jun 30, 2025 | 149.80 Mn |
| Mar 31, 2025 | 153.80 Mn |
| Dec 31, 2024 | 158.70 Mn |
| Sep 30, 2024 | 168.80 Mn |
| Jun 30, 2024 | 193.40 Mn |
| Mar 31, 2024 | 197.10 Mn |
| Dec 31, 2023 | 195.60 Mn |
| Sep 30, 2023 | 184.60 Mn |
| Jun 30, 2023 | 190.90 Mn |
| Mar 31, 2023 | 204.00 Mn |
| Dec 31, 2022 | 189.90 Mn |
| Sep 30, 2022 | 217.90 Mn |
| Jun 30, 2022 | 231.00 Mn |
| Mar 31, 2022 | 238.60 Mn |
| Dec 31, 2021 | 231.30 Mn |
| Sep 30, 2021 | 259.00 Mn |
API Access
Verisk Analytics Operating Leases 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-leases&ticker=VRSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();