Verisk Analytics (VRSK) Tax Provisions (2010 - 2026)
Verisk Analytics (VRSK) posted Tax Provisions of $74.8 million for Q2 2026, up 0.3% from $74.6 million a year earlier and up 0.7% from the prior quarter.
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Analysis
Verisk Analytics (VRSK) Tax Provisions (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Verisk Analytics was $273.4 million, down 0.8% year-over-year; for FY2025, it was $263 million, down 5.4% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- In prior years, Verisk Analytics' Tax Provisions was $277.9 million in FY2024 (+7.4%), $258.8 million in FY2023 (+17.5%), $220.3 million in FY2022 (+22.8%) and $179.4 million in FY2021 (+9.0%).
- Quarterly Tax Provisions has run from a low of -$7.3 million in Q4 2021 to a high of $102.6 million in Q1 2022 over five years.
- On a year-over-year basis, Tax Provisions increased in six of the last eight quarters, with growth averaging 3.2%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q4 2023, with growth of 154.9%; the weakest was Q2 2022, with a decline of 50.8%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $74.3 million (Q1 2026), $47.7 million (Q4 2025) and $76.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 133.88 Bn | 124.46 Bn | 2.98 Bn | 406.00 Mn |
| 2 | Moodys | 84.51 Bn | 77.44 Bn | 1.50 Bn | 232.00 Mn |
| 3 | Msci | 44.68 Bn | 43.16 Bn | 739.80 Mn | 76.90 Mn |
| 4 | Verisk Analytics | 26.54 Bn | 21.17 Bn | 572.90 Mn | 74.80 Mn |
| 5 | Equifax | 21.92 Bn | 21.19 Bn | 940.10 Mn | 83.40 Mn |
| 6 | TransUnion | 16.07 Bn | 12.89 Bn | - | 54.80 Mn |
| 7 | Factset Research Systems | 12.30 Bn | 11.15 Bn | 308.40 Mn | 23.24 Mn |
| 8 | Morningstar | 8.46 Bn | 6.36 Bn | 423.90 Mn | 38.30 Mn |
| 9 | Mastercard | 557.08 Bn | 517.01 Bn | - | 1.10 Bn |
| 10 | Cme | 110.43 Bn | 98.52 Bn | - | 285.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 74.80 Mn |
| Mar 31, 2026 | 74.30 Mn |
| Dec 31, 2025 | 47.70 Mn |
| Sep 30, 2025 | 76.60 Mn |
| Jun 30, 2025 | 74.60 Mn |
| Mar 31, 2025 | 64.10 Mn |
| Dec 31, 2024 | 71.60 Mn |
| Sep 30, 2024 | 65.30 Mn |
| Jun 30, 2024 | 85.20 Mn |
| Mar 31, 2024 | 55.80 Mn |
| Dec 31, 2023 | 60.40 Mn |
| Sep 30, 2023 | 62.30 Mn |
| Jun 30, 2023 | 63.90 Mn |
| Mar 31, 2023 | 72.20 Mn |
| Dec 31, 2022 | 23.70 Mn |
| Sep 30, 2022 | 52.80 Mn |
| Jun 30, 2022 | 41.20 Mn |
| Mar 31, 2022 | 102.60 Mn |
| Dec 31, 2021 | -7.30 Mn |
| Sep 30, 2021 | 54.20 Mn |
API Access
Verisk Analytics Tax Provisions 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=tax-provisions&ticker=VRSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();