Vertex (VERX) Shares Outstanding (Diluted) (2018 - 2026)
Vertex (VERX) reported Shares Outstanding (Diluted) of 161.39 million for Q2 2026, up 1.6% from 158.92 million a year earlier and up 0.6% from the prior quarter.
Vertex (VERX) Shares Outstanding (Diluted) (2018 - 2026) Analysis & Trends
For FY2025, Vertex posted Shares Outstanding (Diluted) of 162.42 million, up 4.6% from FY2024.
- Shares Outstanding (Diluted) has increased for four consecutive years, with a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 155.31 million in FY2024 (+2.3%), 151.86 million in FY2023 (+1.5%), 149.65 million in FY2022 (+33.5%) and 112.13 million in FY2021 (-6.9%).
- Five-year quarterly Shares Outstanding (Diluted) spans a low of 97.15 million in Q3 2023 and a high of 162.72 million in Q1 2025.
- Year over year, Shares Outstanding (Diluted) gained in five of the last eight quarters, with growth averaging 9.2%.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q3 2024 (growth of 66.9%); the low point was Q3 2023 (a decline of 35.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 160.4 million (Q1 2026), 162.42 million (Q4 2025) and 162.17 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 2.57 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 3.00 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 1.18 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 821.00 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 | 403.30 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 277.00 Mn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | 1.84 Bn |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 352.53 Mn |
| 10 | Vertex | 1.90 Bn | 760.17 Mn | 131.30 Mn | 161.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 161.39 Mn |
| Mar 31, 2026 | 160.40 Mn |
| Dec 31, 2025 | 162.42 Mn |
| Sep 30, 2025 | 162.17 Mn |
| Jun 30, 2025 | 158.92 Mn |
| Mar 31, 2025 | 162.72 Mn |
| Dec 31, 2024 | 155.31 Mn |
| Sep 30, 2024 | 162.14 Mn |
| Jun 30, 2024 | 161.44 Mn |
| Mar 31, 2024 | 160.58 Mn |
| Dec 31, 2023 | 151.86 Mn |
| Sep 30, 2023 | 97.15 Mn |
| Jun 30, 2023 | 151.48 Mn |
| Mar 31, 2023 | 150.68 Mn |
| Dec 31, 2022 | 149.65 Mn |
| Sep 30, 2022 | 149.80 Mn |
| Jun 30, 2022 | 106.20 Mn |
| Mar 31, 2022 | 149.16 Mn |
| Dec 31, 2021 | 112.13 Mn |
| Sep 30, 2021 | 108.02 Mn |
Vertex Shares Outstanding (Diluted) 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-diluted&ticker=VERX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=VERX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();