VirTra (VTSI) Shares Outstanding (2016 - 2026)
VirTra (VTSI) reported Weighted Average Shares Outstanding of 11.31 million for Q2 2026, up 0.4% from 11.26 million a year earlier and unchanged from the prior quarter.
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Analysis
VirTra (VTSI) Shares Outstanding (2016 - 2026) Analysis & Trends
For FY2025, VirTra posted Weighted Average Shares Outstanding of 11.27 million, up 1.0% from FY2024.
- Weighted Average Shares Outstanding has increased for six consecutive years, with a five-year compound annual growth rate of 7.8% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 11.16 million in FY2024 (+1.9%), 10.96 million in FY2023 (+0.9%), 10.86 million in FY2022 (+8.6%) and 10.01 million in FY2021 (+29.0%).
- The Q2 2026 figure ranks as the highest quarterly Weighted Average Shares Outstanding in data going back to Q3 2016.
- Year over year, Weighted Average Shares Outstanding has now increased in each of the last 25 quarters, with growth averaging 1.4% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding has ranged between 0.4% (Q1 2024) and 39.1% (Q3 2021) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at 11.3 million (Q1 2026), 11.27 million (Q4 2025) and 11.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | 1.04 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 1.35 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | 792.90 Mn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | 230.50 Mn |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 270.23 Mn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 165.50 Mn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | 398.00 Mn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | 142.10 Mn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 317.50 Mn |
| 10 | VirTra | 30.19 Mn | -41.33 Mn | 3.42 Mn | 11.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.31 Mn |
| Mar 31, 2026 | 11.30 Mn |
| Dec 31, 2025 | 11.27 Mn |
| Sep 30, 2025 | 11.27 Mn |
| Jun 30, 2025 | 11.26 Mn |
| Mar 31, 2025 | 11.16 Mn |
| Dec 31, 2024 | 11.16 Mn |
| Sep 30, 2024 | 11.18 Mn |
| Jun 30, 2024 | 11.06 Mn |
| Mar 31, 2024 | 10.96 Mn |
| Dec 31, 2023 | 10.96 Mn |
| Sep 30, 2023 | 10.93 Mn |
| Jun 30, 2023 | 10.92 Mn |
| Mar 31, 2023 | 10.92 Mn |
| Dec 31, 2022 | 10.86 Mn |
| Sep 30, 2022 | 10.87 Mn |
| Jun 30, 2022 | 10.87 Mn |
| Mar 31, 2022 | 10.81 Mn |
| Dec 31, 2021 | 10.01 Mn |
| Sep 30, 2021 | 10.79 Mn |
API Access
VirTra 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=VTSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "VTSI", "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=VTSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();