Verisk Analytics (VRSK) Accounts Payables (2010 - 2026)
Verisk Analytics (VRSK) posted Accounts Payables of $254.3 million for Q2 2026, up 44.8% from $175.6 million a year earlier and up 27.8% from the prior quarter.
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Analysis
Verisk Analytics (VRSK) Accounts Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, Verisk Analytics' Accounts Payables came in at $319.1 million, up 27.7% from FY2024.
- Annual Accounts Payables shows a five-year compound annual growth rate of -4.8% (FY2020 to FY2025).
- In prior years, Verisk Analytics' Accounts Payables was $249.8 million in FY2024 (-26.7%), $340.8 million in FY2023 (+16.4%), $292.8 million in FY2022 (+11.7%) and $262.1 million in FY2021 (-35.6%).
- Quarterly Accounts Payables has run from a low of $175.6 million in Q2 2025 to a high of $440 million in Q3 2021 over five years.
- On a year-over-year basis, Accounts Payables increased in two of the last eight quarters, with an average decline of 3.2%.
- The strongest year-over-year quarter for Accounts Payables in the past five years was Q2 2026, with growth of 44.8%; the weakest was Q4 2021, with a decline of 35.6%.
- According to Business Quant data, Accounts Payables for the three prior quarters was $199 million (Q1 2026), $319.1 million (Q4 2025) and $229.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 611.00 Mn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 1.09 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 17.20 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 254.30 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 126.60 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 404.90 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 163.98 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 91.90 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 1.13 Bn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 68.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 254.30 Mn |
| Mar 31, 2026 | 199.00 Mn |
| Dec 31, 2025 | 319.10 Mn |
| Sep 30, 2025 | 229.20 Mn |
| Jun 30, 2025 | 175.60 Mn |
| Mar 31, 2025 | 206.70 Mn |
| Dec 31, 2024 | 249.80 Mn |
| Sep 30, 2024 | 282.40 Mn |
| Jun 30, 2024 | 244.90 Mn |
| Mar 31, 2024 | 240.70 Mn |
| Dec 31, 2023 | 340.80 Mn |
| Sep 30, 2023 | 300.90 Mn |
| Jun 30, 2023 | 283.70 Mn |
| Mar 31, 2023 | 257.40 Mn |
| Dec 31, 2022 | 292.80 Mn |
| Sep 30, 2022 | 312.20 Mn |
| Jun 30, 2022 | 276.20 Mn |
| Mar 31, 2022 | 251.20 Mn |
| Dec 31, 2021 | 262.10 Mn |
| Sep 30, 2021 | 440.00 Mn |
API Access
Verisk Analytics Accounts Payables 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=accounts-payables&ticker=VRSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();