Verisk Analytics (VRSK) Net Equity Issued and Repurchased (2010 - 2026)
Verisk Analytics (VRSK) recorded Net Equity Issued and Repurchased of $5.6 million in Q2 2026, down 75.5% from $22.9 million a year earlier and down 47.2% from the prior quarter.
Verisk Analytics (VRSK) Net Equity Issued and Repurchased (2010 - 2026) Analysis & Trends
On a TTM basis, Verisk Analytics' Net Equity Issued and Repurchased came in at $25.5 million as of Jun 30, 2026, down 76.6% year-over-year; for FY2025, it came in at $56.9 million, down 54.4% from FY2024.
- Annual Net Equity Issued and Repurchased has a five-year compound annual growth rate of -8.4% (FY2020 to FY2025).
- Across earlier years, Net Equity Issued and Repurchased came in at $124.8 million in FY2024 (-12.1%), $141.9 million in FY2023 (+7.1%), $132.5 million in FY2022 (+57.2%) and $84.3 million in FY2021 (-4.2%).
- Quarterly Net Equity Issued and Repurchased has ranged from $3.7 million in Q3 2025 to $77.2 million in Q2 2022 over the past five years.
- On a year-over-year basis, Net Equity Issued and Repurchased has declined for six consecutive quarters, with an average decline of 12.6% over the last eight quarters.
- Peak year-over-year performance for Net Equity Issued and Repurchased in the last five years was growth of 476.1% in Q2 2022, against a decline of 92.2% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $10.6 million (Q1 2026), $5.6 million (Q4 2025) and $3.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Equity Issued (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 114.46 Bn | 110.07 Bn | 2.98 Bn | - |
| 2 | Moodys | 77.50 Bn | 69.93 Bn | 1.67 Bn | 11.00 Mn |
| 3 | Msci | 39.67 Bn | 38.01 Bn | 717.10 Mn | 12.50 Mn |
| 4 | Verisk Analytics | 21.91 Bn | 16.55 Bn | 572.90 Mn | 5.60 Mn |
| 5 | Equifax | 16.44 Bn | 15.84 Bn | 926.40 Mn | 6.40 Mn |
| 6 | TransUnion | 11.91 Bn | 8.89 Bn | - | - |
| 7 | Factset Research Systems | 9.93 Bn | 8.69 Bn | 310.73 Mn | 10.87 Mn |
| 8 | Morningstar | 7.17 Bn | 5.07 Bn | 423.90 Mn | - |
| 9 | Mastercard | 479.32 Bn | 439.24 Bn | - | 62.00 Mn |
| 10 | Cme | 95.24 Bn | 95.24 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.60 Mn |
| Mar 31, 2026 | 10.60 Mn |
| Dec 31, 2025 | 5.60 Mn |
| Sep 30, 2025 | 3.70 Mn |
| Jun 30, 2025 | 22.90 Mn |
| Mar 31, 2025 | 24.70 Mn |
| Dec 31, 2024 | 14.20 Mn |
| Sep 30, 2024 | 47.40 Mn |
| Jun 30, 2024 | 35.00 Mn |
| Mar 31, 2024 | 28.20 Mn |
| Dec 31, 2023 | 7.60 Mn |
| Sep 30, 2023 | 19.40 Mn |
| Jun 30, 2023 | 56.50 Mn |
| Mar 31, 2023 | 58.40 Mn |
| Dec 31, 2022 | 20.90 Mn |
| Sep 30, 2022 | 18.60 Mn |
| Jun 30, 2022 | 77.20 Mn |
| Mar 31, 2022 | 15.80 Mn |
| Dec 31, 2021 | 39.40 Mn |
| Sep 30, 2021 | 23.90 Mn |
Verisk Analytics Net Equity Issued and Repurchased 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=net-equity-issued-and-repurchased&ticker=VRSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-equity-issued-and-repurchased", "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=net-equity-issued-and-repurchased&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();