Verisk Analytics (VRSK) Cash & Equivalents (2010 - 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 (2010 - 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 | S&P Global | 113.90 Bn | 109.50 Bn | 2.98 Bn | 4.13 Bn |
| 2 | Moodys | 76.48 Bn | 68.91 Bn | 1.67 Bn | 1.47 Bn |
| 3 | Msci | 38.99 Bn | 37.33 Bn | 717.10 Mn | 356.40 Mn |
| 4 | Verisk Analytics | 21.33 Bn | 15.96 Bn | 572.90 Mn | 551.40 Mn |
| 5 | Equifax | 16.47 Bn | 15.87 Bn | 926.40 Mn | 170.10 Mn |
| 6 | TransUnion | 12.16 Bn | 9.14 Bn | - | 839.10 Mn |
| 7 | Factset Research Systems | 9.52 Bn | 8.28 Bn | 310.73 Mn | 288.11 Mn |
| 8 | Morningstar | 6.89 Bn | 4.79 Bn | 423.90 Mn | 489.50 Mn |
| 9 | Mastercard | 480.84 Bn | 440.75 Bn | - | 11.29 Bn |
| 10 | Cme | 94.54 Bn | 94.54 Bn | - | 2.14 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 302.10 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();