VirTra (VTSI) Assets (2016 - 2026)
VirTra's Assets was $66.18 million in Q2 2026, down 1.8% from $67.37 million a year earlier but up 4.8% from the prior quarter.
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Analysis
VirTra (VTSI) Assets (2016 - 2026) Analysis & Trends
At the end of FY2025, Assets at VirTra came in at $65.14 million, up 0.3% from FY2024.
- Assets shows a five-year compound annual growth rate of 23.4% (FY2020 to FY2025).
- In earlier years, Assets was $64.95 million in FY2024 (-7.7%), $70.38 million in FY2023 (+30.8%), $53.81 million in FY2022 (+8.6%) and $49.58 million in FY2021 (+117.9%).
- Quarterly Assets has moved between $49.58 million (Q4 2021) and $70.38 million (Q4 2023) over five years.
- Compared with a year earlier, Assets was higher in three of the last eight quarters, with an average decline of 2.5%.
- The best year-over-year quarter for Assets over five years was Q3 2021 (growth of 174.3%); the worst was Q4 2024 (a decline of 7.7%).
- Per Business Quant data, VTSI's Assets in the three quarters before Q2 2026 was $63.15 million (Q1 2026), $65.14 million (Q4 2025) and $66.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 127.67 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 173.97 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 165.87 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 62.45 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 13.25 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 60.16 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 19.24 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 50.76 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 77.34 Bn |
| 10 | VirTra | 32.03 Mn | -39.49 Mn | 3.42 Mn | 66.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.18 Mn |
| Mar 31, 2026 | 63.15 Mn |
| Dec 31, 2025 | 65.14 Mn |
| Sep 30, 2025 | 66.20 Mn |
| Jun 30, 2025 | 67.37 Mn |
| Mar 31, 2025 | 66.80 Mn |
| Dec 31, 2024 | 64.95 Mn |
| Sep 30, 2024 | 66.07 Mn |
| Jun 30, 2024 | 66.02 Mn |
| Mar 31, 2024 | 69.38 Mn |
| Dec 31, 2023 | 70.38 Mn |
| Sep 30, 2023 | 68.53 Mn |
| Jun 30, 2023 | 66.50 Mn |
| Mar 31, 2023 | 58.54 Mn |
| Dec 31, 2022 | 53.81 Mn |
| Sep 30, 2022 | 51.06 Mn |
| Jun 30, 2022 | 53.12 Mn |
| Mar 31, 2022 | 51.45 Mn |
| Dec 31, 2021 | 49.58 Mn |
| Sep 30, 2021 | 53.56 Mn |
API Access
VirTra Assets 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=assets&ticker=VTSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=VTSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();