Verisk Analytics (VRSK) Receivables - Net (2010 - 2026)
Verisk Analytics (VRSK) reported Receivables - Net of $400 million for Q2 2026, down 34.6% from $612 million a year earlier and down 27.8% from the prior quarter.
Verisk Analytics (VRSK) Receivables - Net (2010 - 2026) Analysis & Trends
At the end of FY2025, Verisk Analytics posted Receivables - Net of $422.2 million, down 2.8% from FY2024.
- Receivables - Net has a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- By year, Receivables - Net came in at $434.4 million in FY2024 (+30.0%), $334.2 million in FY2023 (+15.2%), $290.1 million in FY2022 (-3.3%) and $299.9 million in FY2021 (-30.6%).
- The Q2 2026 figure ranks as the lowest quarterly Receivables - Net since Q4 2023.
- Year over year, Receivables - Net has now declined in each of the last four quarters, with growth averaging 7.3% over the last eight quarters.
- The high point for year-over-year Receivables - Net in five years was Q4 2024 (growth of 30.0%); the low point was Q2 2026 (a decline of 34.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $554.3 million (Q1 2026), $422.2 million (Q4 2025) and $436.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 400.00 Mn |
| Mar 31, 2026 | 554.30 Mn |
| Dec 31, 2025 | 422.20 Mn |
| Sep 30, 2025 | 436.80 Mn |
| Jun 30, 2025 | 612.00 Mn |
| Mar 31, 2025 | 564.40 Mn |
| Dec 31, 2024 | 434.40 Mn |
| Sep 30, 2024 | 446.10 Mn |
| Jun 30, 2024 | 479.10 Mn |
| Mar 31, 2024 | 486.60 Mn |
| Dec 31, 2023 | 334.20 Mn |
| Sep 30, 2023 | 353.40 Mn |
| Jun 30, 2023 | 381.30 Mn |
| Mar 31, 2023 | 433.30 Mn |
| Dec 31, 2022 | 290.10 Mn |
| Sep 30, 2022 | 458.40 Mn |
| Jun 30, 2022 | 488.90 Mn |
| Mar 31, 2022 | 528.30 Mn |
| Dec 31, 2021 | 299.90 Mn |
| Sep 30, 2021 | 468.00 Mn |
Verisk Analytics Receivables - Net 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=receivables-net&ticker=VRSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();