Veeva Systems (VEEV) Shares Outstanding (2012 - 2026)
Veeva Systems' Shares Outstanding was 162.34 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 0.7% from 163.5 million a year earlier and down 0.6% from the prior quarter.
Veeva Systems (VEEV) Shares Outstanding (2012 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Shares Outstanding at Veeva Systems came in at 163.67 million, up 1.1% from FY2025.
- Shares Outstanding has now increased for 14 consecutive fiscal years, with a five-year compound annual growth rate of 1.7% (FY2021 to FY2026).
- In earlier fiscal years, Shares Outstanding was 161.88 million in FY2025 (+0.8%), 160.53 million in FY2024 (+3.3%), 155.39 million in FY2023 (+1.4%) and 153.25 million in FY2022 (+1.7%).
- The fiscal Q2 2027 figure marks the lowest quarterly Shares Outstanding since fiscal Q4 2025.
- Compared with a year earlier, Shares Outstanding was higher in seven of the last eight quarters, with growth averaging 0.7%.
- The best year-over-year quarter for Shares Outstanding over five years was fiscal Q2 2024 (growth of 3.5%); the worst was fiscal Q2 2027 (a decline of 0.7%).
- Per Business Quant data, VEEV's Shares Outstanding in the three fiscal quarters before Q2 2027 was 163.35 million (Q1 2027), 163.67 million (Q4 2026) and 164.05 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 450.00 Mn |
| 2 | Veeva Systems | 50.88 Bn | 23.13 Bn | 695.95 Mn | 162.34 Mn |
| 3 | Samsara | 24.90 Bn | 21.68 Bn | 392.58 Mn | 584.14 Mn |
| 4 | Ptc | 22.15 Bn | 20.97 Bn | 490.47 Mn | 114.68 Mn |
| 5 | Toast | 18.57 Bn | 11.24 Bn | 516.00 Mn | 578.00 Mn |
| 6 | Trimble | 14.20 Bn | 13.26 Bn | 674.90 Mn | 233.00 Mn |
| 7 | Manhattan Associates | 13.35 Bn | 12.35 Bn | 168.33 Mn | 58.76 Mn |
| 8 | Costar | 12.94 Bn | 6.89 Bn | 728.00 Mn | 404.10 Mn |
| 9 | Bentley Systems | 11.31 Bn | 10.77 Bn | 336.74 Mn | 311.78 Mn |
| 10 | Procore Technologies | 8.93 Bn | 6.23 Bn | 299.80 Mn | 151.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 162.34 Mn |
| Apr 30, 2026 | 163.35 Mn |
| Jan 31, 2026 | 163.67 Mn |
| Oct 31, 2025 | 164.05 Mn |
| Jul 31, 2025 | 163.50 Mn |
| Apr 30, 2025 | 162.75 Mn |
| Jan 31, 2025 | 161.88 Mn |
| Oct 31, 2024 | 161.99 Mn |
| Jul 31, 2024 | 161.71 Mn |
| Apr 30, 2024 | 161.42 Mn |
| Jan 31, 2024 | 160.53 Mn |
| Oct 31, 2023 | 160.77 Mn |
| Jul 31, 2023 | 160.40 Mn |
| Apr 30, 2023 | 159.85 Mn |
| Jan 31, 2023 | 155.39 Mn |
| Oct 31, 2022 | 155.39 Mn |
| Jul 31, 2022 | 154.95 Mn |
| Apr 30, 2022 | 154.51 Mn |
| Jan 31, 2022 | 153.25 Mn |
| Oct 31, 2021 | 153.51 Mn |
Veeva Systems 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=VEEV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "VEEV", "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=VEEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();