Vertex (VERX) Shares Outstanding (2018 - 2026)
Vertex (VERX) posted Shares Outstanding of 161.34 million for Q2 2026, up 1.5% from 158.92 million a year earlier and up 0.6% from the prior quarter.
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Analysis
Vertex (VERX) Shares Outstanding (2018 - 2026) Analysis & Trends
For FY2025, Vertex's Shares Outstanding came in at 158.93 million, up 2.3% from FY2024.
- Annual Shares Outstanding has increased for three consecutive years, with a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- In prior years, Vertex's Shares Outstanding was 155.31 million in FY2024 (+2.3%), 151.86 million in FY2023 (+46.3%), 103.78 million in FY2022 (-7.4%) and 112.13 million in FY2021 (-14.7%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding in data going back to Q4 2018.
- On a year-over-year basis, Shares Outstanding has increased in each of the last nine quarters, with growth averaging 17.9% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding in the past five years was Q1 2025, with growth of 70.3%; the weakest was Q1 2023, with a decline of 32.8%.
- According to Business Quant data, Shares Outstanding for the three prior quarters was 160.4 million (Q1 2026), 158.93 million (Q4 2025) and 159.45 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 2.40 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 2.97 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 1.17 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 820.00 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 | 402.30 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 276.00 Mn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | 1.83 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 | 161.34 Mn |
Historic Data
Download Data
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 | 92.66 Mn |
| Dec 31, 2023 | 151.86 Mn |
| Sep 30, 2023 | 97.15 Mn |
| Jun 30, 2023 | 97.72 Mn |
| Mar 31, 2023 | 100.22 Mn |
| Dec 31, 2022 | 103.78 Mn |
| Sep 30, 2022 | 101.31 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 |
API Access
Vertex 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=VERX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=VERX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();