V2X (VVX) Shares Outstanding (Entity) (2013 - 2026)
V2X (VVX) recorded Shares Outstanding (Entity) of 31.35 million in Q2 2026, down 1.1% from 31.71 million a year earlier but up 0.1% from the prior quarter.
V2X (VVX) Shares Outstanding (Entity) (2013 - 2026) Analysis & Trends
For FY2025, V2X reported Shares Outstanding (Entity) of 31.17 million, down 1.2% from FY2024.
- Annual Shares Outstanding (Entity) has a five-year compound annual growth rate of 21.8% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Entity) came in at 31.56 million in FY2024 (+1.2%), 31.19 million in FY2023 (+48.6%), 21 million in FY2022 (+78.9%) and 11.74 million in FY2021 (+1.0%).
- Quarterly Shares Outstanding (Entity) has ranged from 11.73 million in Q3 2021 to 31.71 million in Q2 2025 over the past five years.
- On a year-over-year basis, Shares Outstanding (Entity) has declined for four consecutive quarters, with an average year-over-year change of 0.0% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding (Entity) in the last five years was growth of 162.6% in Q1 2023, against a decline of 1.2% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 31.31 million (Q1 2026), 31.17 million (Q4 2025) and 31.53 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 1.04 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 1.35 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 790.37 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 230.79 Mn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 400.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 270.56 Mn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 165.50 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 142.06 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 316.94 Mn |
| 10 | V2X | 2.22 Bn | 1.24 Bn | 109.50 Mn | 31.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 31.35 Mn |
| Apr 3, 2026 | 31.31 Mn |
| Dec 31, 2025 | 31.17 Mn |
| Sep 26, 2025 | 31.53 Mn |
| Jun 27, 2025 | 31.71 Mn |
| Mar 28, 2025 | 31.68 Mn |
| Dec 31, 2024 | 31.56 Mn |
| Sep 27, 2024 | 31.56 Mn |
| Jun 28, 2024 | 31.48 Mn |
| Mar 29, 2024 | 31.45 Mn |
| Dec 31, 2023 | 31.19 Mn |
| Sep 29, 2023 | 31.19 Mn |
| Jun 30, 2023 | 31.08 Mn |
| Mar 31, 2023 | 31.01 Mn |
| Dec 31, 2022 | 21.00 Mn |
| Sep 30, 2022 | 30.46 Mn |
| Jul 1, 2022 | 11.85 Mn |
| Apr 1, 2022 | 11.81 Mn |
| Dec 31, 2021 | 11.74 Mn |
| Oct 1, 2021 | 11.73 Mn |
V2X 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=VVX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "VVX", "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=VVX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();