VirTra (VTSI) Non-Current Assets (2016 - 2026)
VirTra's Non-Current Assets came in at $27.99 million for Q2 2026, up 20.5% from $23.22 million a year earlier and up 17.2% from the prior quarter.
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Analysis
VirTra (VTSI) Non-Current Assets (2016 - 2026) Analysis & Trends
At the end of FY2025, VirTra's Non-Current Assets was $24.11 million, up 14.9% from FY2024.
- Non-Current Assets has increased in each of the last five years, with a five-year compound annual growth rate of 35.8% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $20.98 million in FY2024 (+1.7%), $20.64 million in FY2023 (+4.7%), $19.72 million in FY2022 (+22.7%) and $16.07 million in FY2021 (+207.5%).
- The Q2 2026 figure represents the highest quarterly Non-Current Assets in data going back to Q4 2016.
- Year-over-year, Non-Current Assets has increased for five consecutive quarters, with growth averaging 7.6% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q1 2022 (growth of 235.3%), and the weakest in Q3 2024 (a decline of 4.4%).
- Business Quant data shows VTSI's Non-Current Assets at $23.88 million (Q1 2026), $24.11 million (Q4 2025) and $23.61 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 87.98 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 1.25 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 41.24 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 34.05 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 9.06 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 33.13 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 13.11 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 35.17 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 49.27 Bn |
| 10 | VirTra | 32.03 Mn | -39.49 Mn | 3.42 Mn | 27.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.99 Mn |
| Mar 31, 2026 | 23.88 Mn |
| Dec 31, 2025 | 24.11 Mn |
| Sep 30, 2025 | 23.61 Mn |
| Jun 30, 2025 | 23.22 Mn |
| Mar 31, 2025 | 21.57 Mn |
| Dec 31, 2024 | 20.98 Mn |
| Sep 30, 2024 | 21.13 Mn |
| Jun 30, 2024 | 21.68 Mn |
| Mar 31, 2024 | 21.85 Mn |
| Dec 31, 2023 | 20.64 Mn |
| Sep 30, 2023 | 22.11 Mn |
| Jun 30, 2023 | 22.29 Mn |
| Mar 31, 2023 | 20.40 Mn |
| Dec 31, 2022 | 19.72 Mn |
| Sep 30, 2022 | 18.49 Mn |
| Jun 30, 2022 | 17.22 Mn |
| Mar 31, 2022 | 16.88 Mn |
| Dec 31, 2021 | 16.07 Mn |
| Sep 30, 2021 | 16.22 Mn |
API Access
VirTra Non-Current 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=non-current-assets&ticker=VTSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=VTSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();