Verisk Analytics (VRSK) Treasury Shares (2010 - 2026)
Verisk Analytics' Treasury Shares came in at $12.3 billion for Q2 2026, up 18.3% from $10.4 billion a year earlier and up 1.4% from the prior quarter.
Verisk Analytics (VRSK) Treasury Shares (2010 - 2026) Analysis & Trends
At the end of FY2025, Verisk Analytics' Treasury Shares was $10.72 billion, up 6.6% from FY2024.
- Treasury Shares has increased in each of the last 15 years, with a five-year compound annual growth rate of 20.7% (FY2020 to FY2025).
- Going back by year, Treasury Shares was $10.06 billion in FY2024 (+11.3%), $9.04 billion in FY2023 (+44.8%), $6.24 billion in FY2022 (+34.5%) and $4.64 billion in FY2021 (+11.0%).
- The Q2 2026 figure represents the highest quarterly Treasury Shares in data going back to Q4 2010.
- Year-over-year, Treasury Shares has increased for 59 consecutive quarters, with growth averaging 12.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Treasury Shares ran from 6.6% in Q4 2025 to 59.1% in Q1 2023.
- Business Quant data shows VRSK's Treasury Shares at $12.13 billion (Q1 2026), $10.72 billion (Q4 2025) and $10.5 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Treasury Shares (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 38.31 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 169.72 Mn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 61.80 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 413.87 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 71.10 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 7.40 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 7.45 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 17.57 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 536.00 Mn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 413.87 Mn |
| Mar 31, 2026 | 412.99 Mn |
| Dec 31, 2025 | 405.61 Mn |
| Sep 30, 2025 | 404.63 Mn |
| Jun 30, 2025 | 404.30 Mn |
| Mar 31, 2025 | 404.05 Mn |
| Dec 31, 2024 | 403.59 Mn |
| Sep 30, 2024 | 402.61 Mn |
| Jun 30, 2024 | 401.54 Mn |
| Mar 31, 2024 | 401.22 Mn |
| Dec 31, 2023 | 400.69 Mn |
| Sep 30, 2023 | 399.04 Mn |
| Jun 30, 2023 | 399.01 Mn |
| Mar 31, 2023 | 399.45 Mn |
| Dec 31, 2022 | 389.30 Mn |
| Sep 30, 2022 | 387.16 Mn |
| Jun 30, 2022 | 385.75 Mn |
| Mar 31, 2022 | 385.13 Mn |
| Dec 31, 2021 | 382.35 Mn |
| Sep 30, 2021 | 382.59 Mn |
Verisk Analytics Treasury Shares 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=treasury-shares&ticker=VRSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "treasury-shares", "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=treasury-shares&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();