Vertex (VERX) Shares Outstanding (Entity) (2018 - 2026)
Vertex (VERX) recorded Shares Outstanding (Entity) of 161.34 million in Q2 2026, up 1.5% from 158.92 million a year earlier and up 0.6% from the prior quarter.
Vertex (VERX) Shares Outstanding (Entity) (2018 - 2026) Analysis & Trends
For FY2025, Vertex reported Shares Outstanding (Entity) of 158.93 million, up 2.3% from FY2024.
- Annual Shares Outstanding (Entity) has increased for five straight years, with a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Entity) came in at 155.31 million in FY2024 (+2.3%), 151.86 million in FY2023 (+1.0%), 150.32 million in FY2022 (+0.8%) and 149.09 million in FY2021 (+1.8%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding (Entity) since Q3 2020.
- On a year-over-year basis, Shares Outstanding (Entity) has increased for 19 consecutive quarters, with growth averaging 2.3% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding (Entity) in the last five years was growth of 3.5% in Q1 2025, against a decline of 44.3% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 160.4 million (Q1 2026), 158.93 million (Q4 2025) and 159.45 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 2.40 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 3.02 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | - |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 823.00 Mn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 1.03 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 397.80 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 268.38 Mn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 351.96 Mn |
| 10 | Vertex | 1.90 Bn | 760.17 Mn | 131.30 Mn | 161.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 161.34 Mn |
| Mar 31, 2026 | 160.40 Mn |
| Dec 31, 2025 | 158.93 Mn |
| Sep 30, 2025 | 159.45 Mn |
| Jun 30, 2025 | 158.92 Mn |
| Mar 31, 2025 | 157.77 Mn |
| Dec 31, 2024 | 155.31 Mn |
| Sep 30, 2024 | 155.63 Mn |
| Jun 30, 2024 | 155.13 Mn |
| Mar 31, 2024 | 152.48 Mn |
| Dec 31, 2023 | 151.86 Mn |
| Sep 30, 2023 | 152.66 Mn |
| Jun 30, 2023 | 151.77 Mn |
| Mar 31, 2023 | 151.30 Mn |
| Dec 31, 2022 | 150.32 Mn |
| Sep 30, 2022 | 149.98 Mn |
| Jun 30, 2022 | 149.62 Mn |
| Mar 31, 2022 | 149.16 Mn |
| Dec 31, 2021 | 149.09 Mn |
| Sep 30, 2021 | 148.59 Mn |
Vertex Shares Outstanding (Entity) 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-entity&ticker=VERX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "VERX", "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-entity&ticker=VERX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();