Verisk Analytics (VRSK) Receivables (2010 - 2026)
Verisk Analytics' Receivables was $400 million in Q2 2026, down 34.6% from $612 million a year earlier and down 27.8% from the prior quarter.
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Analysis
Verisk Analytics (VRSK) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Verisk Analytics came in at $422.2 million, down 2.8% from FY2024.
- Receivables shows a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- In earlier years, Receivables was $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 marks the lowest quarterly Receivables since Q4 2023.
- Compared with a year earlier, Receivables has declined for four straight quarters, with growth averaging 7.3% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was Q4 2024 (growth of 30.0%); the worst was Q2 2026 (a decline of 34.6%).
- Per Business Quant data, VRSK's Receivables in the three quarters before Q2 2026 was $554.3 million (Q1 2026), $422.2 million (Q4 2025) and $436.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.73 Bn | 112.33 Bn | 2.98 Bn | 3.44 Bn |
| 2 | Moodys | 79.69 Bn | 72.12 Bn | 1.67 Bn | 2.58 Bn |
| 3 | Msci | 39.48 Bn | 37.82 Bn | 717.10 Mn | 884.40 Mn |
| 4 | Verisk Analytics | 21.83 Bn | 16.47 Bn | 572.90 Mn | 400.00 Mn |
| 5 | Equifax | 17.14 Bn | 16.54 Bn | 926.40 Mn | 1.16 Bn |
| 6 | TransUnion | 12.68 Bn | 9.66 Bn | - | 1.05 Bn |
| 7 | Factset Research Systems | 9.57 Bn | 8.33 Bn | 310.73 Mn | 289.99 Mn |
| 8 | Morningstar | 7.19 Bn | 5.09 Bn | 423.90 Mn | 382.90 Mn |
| 9 | Mastercard | 494.77 Bn | 454.69 Bn | - | 5.05 Bn |
| 10 | Cme | 94.58 Bn | 94.58 Bn | - | 753.10 Mn |
Historic Data
Download Data
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 |
API Access
Verisk Analytics Receivables 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&ticker=VRSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();