Verisk Analytics (VRSK) Shares Outstanding (2010 - 2026)
Verisk Analytics (VRSK) reported Shares Outstanding of 130.76 million for Q2 2026, down 6.5% from 139.82 million a year earlier and down 3.2% from the prior quarter.
Powered by 
Analysis
Verisk Analytics (VRSK) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Verisk Analytics posted Shares Outstanding of 139.67 million, down 1.7% from FY2024.
- Shares Outstanding has declined for nine consecutive years, with a five-year compound annual growth rate of -3.0% (FY2020 to FY2025).
- By year, Shares Outstanding came in at 142.15 million in FY2024 (-3.0%), 146.62 million in FY2023 (-7.1%), 157.91 million in FY2022 (-2.4%) and 161.84 million in FY2021 (-0.5%).
- The Q2 2026 figure ranks as the lowest quarterly Shares Outstanding in data going back to Q1 2010.
- Year over year, Shares Outstanding has now declined in each of the last 31 quarters, with an average decline of 2.9% over the last eight quarters.
- Over the past five years, the year-over-year decline in Shares Outstanding ranged from 0.5% (Q4 2021) to 8.3% (Q2 2023).
- Per Business Quant data, the three quarters before Q2 2026 came in at 135.02 million (Q1 2026), 139.67 million (Q4 2025) and 139.51 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 295.40 Mn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 174.10 Mn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 72.80 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 130.76 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 118.40 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 192.30 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 36.12 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 37.80 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 882.00 Mn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 360.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 130.76 Mn |
| Mar 31, 2026 | 135.02 Mn |
| Dec 31, 2025 | 139.67 Mn |
| Sep 30, 2025 | 139.51 Mn |
| Jun 30, 2025 | 139.82 Mn |
| Mar 31, 2025 | 140.29 Mn |
| Dec 31, 2024 | 142.15 Mn |
| Sep 30, 2024 | 141.78 Mn |
| Jun 30, 2024 | 142.71 Mn |
| Mar 31, 2024 | 143.30 Mn |
| Dec 31, 2023 | 146.62 Mn |
| Sep 30, 2023 | 145.01 Mn |
| Jun 30, 2023 | 144.83 Mn |
| Mar 31, 2023 | 152.03 Mn |
| Dec 31, 2022 | 157.91 Mn |
| Sep 30, 2022 | 156.94 Mn |
| Jun 30, 2022 | 157.97 Mn |
| Mar 31, 2022 | 160.68 Mn |
| Dec 31, 2021 | 161.84 Mn |
| Sep 30, 2021 | 161.37 Mn |
API Access
Verisk Analytics Shares Outstanding 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=shares-outstanding&ticker=VRSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();