VirTra (VTSI) Intangibles (2019 - 2026)
VirTra (VTSI) posted Intangibles of $2.53 million for Q2 2026, down 7.7% from $2.74 million a year earlier but up 5.7% from the prior quarter.
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Analysis
VirTra (VTSI) Intangibles (2019 - 2026) Analysis & Trends
At the end of FY2025, VirTra's Intangibles came in at $2.51 million, up 349.9% from FY2024.
- Annual Intangibles shows a five-year compound annual growth rate of 56.1% (FY2020 to FY2025).
- In prior years, VirTra's Intangibles was $558,651 in FY2024 (-1.6%), $567,540 in FY2023 (-3.4%), $587,777 in FY2022 (+9.8%) and $535,079 in FY2021 (+97.4%).
- Quarterly Intangibles has run from a low of $535,079 in Q4 2021 to a high of $2.74 million in Q2 2025 over five years.
- On a year-over-year basis, Intangibles increased in four of the last eight quarters, with growth averaging 178.1%.
- The strongest year-over-year quarter for Intangibles in the past five years was Q2 2025, with growth of 387.3%; the weakest was Q3 2022, with a decline of 32.8%.
- According to Business Quant data, Intangibles for the three prior quarters was $2.4 million (Q1 2026), $2.51 million (Q4 2025) and $2.63 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 4.09 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 31.04 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 1.53 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 1.79 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 869.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 1.28 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 2.95 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 | 6.41 Bn |
| 10 | VirTra | 30.79 Mn | -40.74 Mn | 3.42 Mn | 2.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.53 Mn |
| Mar 31, 2026 | 2.40 Mn |
| Dec 31, 2025 | 2.51 Mn |
| Sep 30, 2025 | 2.63 Mn |
| Jun 30, 2025 | 2.74 Mn |
| Mar 31, 2025 | 556,429.00 |
| Dec 31, 2024 | 558,651.00 |
| Sep 30, 2024 | 560,873.00 |
| Jun 30, 2024 | 563,096.00 |
| Mar 31, 2024 | 565,318.00 |
| Dec 31, 2023 | 567,540.00 |
| Sep 30, 2023 | 569,762.00 |
| Jun 30, 2023 | 571,985.00 |
| Mar 31, 2023 | 582,151.00 |
| Dec 31, 2022 | 587,777.00 |
| Sep 30, 2022 | 593,403.00 |
| Jun 30, 2022 | 579,963.00 |
| Mar 31, 2022 | 566,159.00 |
| Dec 31, 2021 | 535,079.00 |
| Sep 30, 2021 | 882,604.00 |
API Access
VirTra Intangibles 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=intangibles&ticker=VTSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=VTSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();