VirTra (VTSI) Market Capitalization (2016 - 2026)
VirTra's Market Capitalization was $35.54 million in Q2 2026, down 55.4% from $79.62 million a year earlier and down 15.2% from the prior quarter.
Analysis
VirTra (VTSI) Market Capitalization (2016 - 2026) Analysis & Trends
For FY2025, Market Capitalization at VirTra came in at $47.48 million, down 37.5% from FY2024.
- Market Capitalization shows a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- In earlier years, Market Capitalization was $75.98 million in FY2024 (-27.8%), $105.19 million in FY2023 (+106.2%), $51.02 million in FY2022 (-32.6%) and $75.65 million in FY2021 (+176.4%).
- The Q2 2026 figure marks the lowest quarterly Market Capitalization since Q4 2020.
- Compared with a year earlier, Market Capitalization has declined for seven straight quarters, with an average decline of 24.6% over the last eight quarters.
- The best year-over-year quarter for Market Capitalization over five years was Q3 2021 (growth of 263.6%); the worst was Q1 2025 (a decline of 59.9%).
- Per Business Quant data, VTSI's Market Capitalization in the three quarters before Q2 2026 was $41.94 million (Q1 2026), $47.48 million (Q4 2025) and $59.35 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | VirTra | 30.79 Mn | -40.74 Mn | 3.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.54 Mn |
| Mar 31, 2026 | 41.94 Mn |
| Dec 31, 2025 | 47.48 Mn |
| Sep 30, 2025 | 59.35 Mn |
| Jun 30, 2025 | 79.62 Mn |
| Mar 31, 2025 | 45.83 Mn |
| Dec 31, 2024 | 75.98 Mn |
| Sep 30, 2024 | 69.93 Mn |
| Jun 30, 2024 | 85.45 Mn |
| Mar 31, 2024 | 114.21 Mn |
| Dec 31, 2023 | 105.19 Mn |
| Sep 30, 2023 | 61.16 Mn |
| Jun 30, 2023 | 83.15 Mn |
| Mar 31, 2023 | 43.70 Mn |
| Dec 31, 2022 | 51.02 Mn |
| Sep 30, 2022 | 58.96 Mn |
| Jun 30, 2022 | 53.51 Mn |
| Mar 31, 2022 | 65.94 Mn |
| Dec 31, 2021 | 75.65 Mn |
| Sep 30, 2021 | 109.58 Mn |
API Access
VirTra Market Capitalization 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=market-capitalization&ticker=VTSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=VTSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();