Verisk Analytics (VRSK) Payables (2010 - 2026)
Verisk Analytics (VRSK) recorded Payables of $254.3 million in 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) Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, Verisk Analytics reported Payables of $319.1 million, up 27.7% from FY2024.
- Annual Payables has a five-year compound annual growth rate of -4.8% (FY2020 to FY2025).
- Across earlier years, Payables came in at $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 Payables has ranged from $175.6 million in Q2 2025 to $440 million in Q3 2021 over the past five years.
- On a year-over-year basis, Payables rose in two of the last eight quarters, with an average decline of 3.2%.
- Peak year-over-year performance for Payables in the last five years was growth of 44.8% in Q2 2026, against a decline of 35.6% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $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) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 136.14 Bn | 125.99 Bn | 2.64 Bn | 507.00 Mn |
| 2 | Moodys | 87.37 Bn | 80.29 Bn | 1.50 Bn | 1.22 Bn |
| 3 | Msci | 46.53 Bn | 45.01 Bn | 739.80 Mn | 5.90 Mn |
| 4 | Verisk Analytics | 25.76 Bn | 20.40 Bn | 572.90 Mn | 254.30 Mn |
| 5 | Equifax | 21.57 Bn | 20.84 Bn | 940.10 Mn | 115.30 Mn |
| 6 | TransUnion | 15.42 Bn | 12.11 Bn | - | 409.20 Mn |
| 7 | Factset Research Systems | 11.51 Bn | 10.36 Bn | 308.40 Mn | 177.01 Mn |
| 8 | Morningstar | 9.02 Bn | 6.91 Bn | 431.40 Mn | 119.90 Mn |
| 9 | Mastercard | 571.76 Bn | 531.85 Bn | - | 1.08 Bn |
| 10 | Cme | 109.34 Bn | 97.67 Bn | - | 67.70 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 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=payables&ticker=VRSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=payables&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();