Verisk Analytics (VRSK) Cash & Equivalents (2009 - 2026)
Verisk Analytics (VRSK) posted Cash & Equivalents of $551.4 million for Q2 2026, down 12.3% from $628.7 million a year earlier but up 5.1% from the prior quarter.
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Analysis
Verisk Analytics (VRSK) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Verisk Analytics' Cash & Equivalents came in at $2.18 billion, up 648.0% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 58.3% (FY2020 to FY2025).
- In prior years, Verisk Analytics' Cash & Equivalents was $291.2 million in FY2024 (-3.8%), $302.7 million in FY2023 (+169.1%), $112.5 million in FY2022 (+0.5%) and $111.9 million in FY2021 (-48.9%).
- Quarterly Cash & Equivalents has run from a low of $111.9 million in Q4 2021 to a high of $2.18 billion in Q4 2025 over five years.
- On a year-over-year basis, Cash & Equivalents increased in four of the last eight quarters, with growth averaging 145.5%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q4 2025, with growth of 648.0%; the weakest was Q1 2026, with a decline of 52.8%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $524.5 million (Q1 2026), $2.18 billion (Q4 2025) and $2.11 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 235.55 Bn | 234.03 Bn | 739.80 Mn | 261.00 Mn |
| 2 | S&P Global | 137.22 Bn | 132.42 Bn | 2.64 Bn | 2.44 Bn |
| 3 | Moodys | 88.04 Bn | 81.11 Bn | 1.50 Bn | 1.51 Bn |
| 4 | Verisk Analytics | 26.17 Bn | 22.36 Bn | 567.00 Mn | 556.80 Mn |
| 5 | Equifax | 22.05 Bn | 21.44 Bn | 940.10 Mn | 192.90 Mn |
| 6 | TransUnion | 15.64 Bn | 12.48 Bn | - | 883.10 Mn |
| 7 | Factset Research Systems | 11.49 Bn | 10.35 Bn | 308.40 Mn | 233.34 Mn |
| 8 | Morningstar | 9.15 Bn | 7.04 Bn | 431.40 Mn | 496.70 Mn |
| 9 | Mastercard | 570.55 Bn | 530.63 Bn | - | 10.15 Bn |
| 10 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn | 2.20 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 556.80 Mn |
| Jun 30, 2026 | 551.40 Mn |
| Mar 31, 2026 | 524.50 Mn |
| Dec 31, 2025 | 2.18 Bn |
| Sep 30, 2025 | 2.11 Bn |
| Jun 30, 2025 | 628.70 Mn |
| Mar 31, 2025 | 1.11 Bn |
| Dec 31, 2024 | 291.20 Mn |
| Sep 30, 2024 | 458.00 Mn |
| Jun 30, 2024 | 632.10 Mn |
| Mar 31, 2024 | 352.40 Mn |
| Dec 31, 2023 | 302.70 Mn |
| Sep 30, 2023 | 416.80 Mn |
| Jun 30, 2023 | 308.70 Mn |
| Mar 31, 2023 | 231.90 Mn |
| Dec 31, 2022 | 112.50 Mn |
| Sep 30, 2022 | 276.80 Mn |
| Jun 30, 2022 | 480.70 Mn |
| Mar 31, 2022 | 397.90 Mn |
| Dec 31, 2021 | 111.90 Mn |
API Access
Verisk Analytics Cash & Equivalents 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-and-equivalents&ticker=VRSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();