Vertical Data (VDTA) Shares Outstanding (2024 - 2026)
Vertical Data (VDTA) reported Shares Outstanding of 13.3 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 67.7% from 41.19 million a year earlier but up 16.5% from the prior quarter.
Vertical Data (VDTA) Shares Outstanding (2024 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Vertical Data posted Shares Outstanding of 40.59 million, up 74.2% from FY2024.
- By fiscal year, Shares Outstanding came in at 23.29 million in FY2024.
- Five-year quarterly Shares Outstanding spans a low of 11.42 million in fiscal Q2 2026 and a high of 41.19 million in fiscal Q3 2025.
- Year over year, Shares Outstanding has now declined in each of the last three quarters, with an average decline of 33.6% over the last four quarters.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 11.42 million (Q2 2026), 12.2 million (Q1 2026) and 40.59 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.06 Bn | 16.35 Bn | 1.60 Bn | 4.11 Bn |
| 2 | Cognizant Technology Solutions | 29.12 Bn | 23.09 Bn | 1.91 Bn | 450.00 Mn |
| 3 | Cdw | 21.17 Bn | 18.07 Bn | 1.39 Bn | 125.10 Mn |
| 4 | Td Synnex | 18.55 Bn | 12.71 Bn | 1.43 Bn | 79.21 Mn |
| 5 | Cgi | 18.36 Bn | 16.16 Bn | - | 222.69 Mn |
| 6 | Arrow Electronics | 9.82 Bn | 8.84 Bn | 1.16 Bn | 50.95 Mn |
| 7 | EPAM Systems | 8.35 Bn | 4.26 Bn | 445.94 Mn | 51.43 Mn |
| 8 | Avnet | 7.00 Bn | 6.12 Bn | 1.07 Bn | 82.27 Mn |
| 9 | ExlService Holdings | 6.69 Bn | 5.49 Bn | 241.14 Mn | 151.78 Mn |
| 10 | Vertical Data | 39.41 Mn | 29.71 Mn | 247,212.00 | 13.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.30 Mn |
| Mar 31, 2026 | 11.42 Mn |
| Dec 31, 2025 | 12.20 Mn |
| Sep 30, 2025 | 40.59 Mn |
| Jun 30, 2025 | 41.19 Mn |
| Mar 31, 2025 | 40.95 Mn |
| Dec 31, 2024 | 39.02 Mn |
| Sep 30, 2024 | 23.29 Mn |
| Jun 30, 2024 | 36.50 Mn |
Vertical Data 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=VDTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "VDTA", "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=VDTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();