Verisk Analytics (VRSK) Cash from Operations (2010 - 2026)
Verisk Analytics' Cash from Operations came in at $366 million for Q2 2026, up 49.7% from $244.5 million a year earlier but down 6.3% from the prior quarter.
Verisk Analytics (VRSK) Cash from Operations (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Verisk Analytics reported Cash from Operations of $1.5 billion, up 21.1% year-over-year; for FY2025, it was $1.44 billion, up 25.5% from FY2024.
- Cash from Operations has increased in each of the last three years, with a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- Going back by year, Cash from Operations was $1.14 billion in FY2024 (+7.9%), $1.06 billion in FY2023 (+0.2%), $1.06 billion in FY2022 (-8.4%) and $1.16 billion in FY2021 (+8.2%).
- The five-year range for quarterly Cash from Operations is $130.2 million (Q2 2022) to $444.7 million (Q1 2025).
- Year-over-year, Cash from Operations increased in seven of the last eight quarters, with growth averaging 20.3%.
- The fastest year-over-year change in Cash from Operations over five years came in Q2 2026 (growth of 49.7%), and the weakest in Q2 2022 (a decline of 44.2%).
- Business Quant data shows VRSK's Cash from Operations at $390.4 million (Q1 2026), $343.3 million (Q4 2025) and $403.5 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 1.44 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 779.00 Mn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 370.80 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 366.00 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 339.80 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 374.90 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 284.52 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 155.70 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 3.77 Bn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 947.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 366.00 Mn |
| Mar 31, 2026 | 390.40 Mn |
| Dec 31, 2025 | 343.30 Mn |
| Sep 30, 2025 | 403.50 Mn |
| Jun 30, 2025 | 244.50 Mn |
| Mar 31, 2025 | 444.70 Mn |
| Dec 31, 2024 | 255.40 Mn |
| Sep 30, 2024 | 296.20 Mn |
| Jun 30, 2024 | 211.70 Mn |
| Mar 31, 2024 | 372.20 Mn |
| Dec 31, 2023 | 252.40 Mn |
| Sep 30, 2023 | 250.10 Mn |
| Jun 30, 2023 | 192.90 Mn |
| Mar 31, 2023 | 365.30 Mn |
| Dec 31, 2022 | 249.00 Mn |
| Sep 30, 2022 | 280.20 Mn |
| Jun 30, 2022 | 130.20 Mn |
| Mar 31, 2022 | 399.60 Mn |
| Dec 31, 2021 | 188.60 Mn |
| Sep 30, 2021 | 285.20 Mn |
Verisk Analytics Cash from Operations 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=cash-from-operations&ticker=VRSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();