VirTra (VTSI) Property, Plant & Equipment (Net) (2016 - 2026)
VirTra (VTSI) recorded Property, Plant & Equipment (Net) of $20.7 million in Q2 2026, up 25.8% from $16.45 million a year earlier and up 29.3% from the prior quarter.
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Analysis
VirTra (VTSI) Property, Plant & Equipment (Net) (2016 - 2026) Analysis & Trends
At the end of FY2025, VirTra reported Property, Plant & Equipment (Net) of $16.27 million, up 0.4% from FY2024.
- Annual Property, Plant & Equipment (Net) has increased for eight straight years, with a five-year compound annual growth rate of 63.8% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $16.2 million in FY2024 (+4.6%), $15.49 million in FY2023 (+1.4%), $15.27 million in FY2022 (+18.7%) and $12.86 million in FY2021 (+831.1%).
- The Q2 2026 figure is the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2016.
- On a year-over-year basis, Property, Plant & Equipment (Net) rose in four of the last eight quarters, with growth averaging 4.2%.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 947.2% in Q1 2022, against a decline of 2.9% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $16.01 million (Q1 2026), $16.27 million (Q4 2025) and $16.35 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 8.14 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 16.97 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 16.32 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 11.39 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 2.82 Bn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 7.58 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 1.17 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 10.30 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 4.59 Bn |
| 10 | VirTra | 31.58 Mn | -39.94 Mn | 3.42 Mn | 20.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.70 Mn |
| Mar 31, 2026 | 16.01 Mn |
| Dec 31, 2025 | 16.27 Mn |
| Sep 30, 2025 | 16.35 Mn |
| Jun 30, 2025 | 16.45 Mn |
| Mar 31, 2025 | 16.32 Mn |
| Dec 31, 2024 | 16.20 Mn |
| Sep 30, 2024 | 16.35 Mn |
| Jun 30, 2024 | 16.58 Mn |
| Mar 31, 2024 | 16.80 Mn |
| Dec 31, 2023 | 15.49 Mn |
| Sep 30, 2023 | 15.10 Mn |
| Jun 30, 2023 | 15.15 Mn |
| Mar 31, 2023 | 15.21 Mn |
| Dec 31, 2022 | 15.27 Mn |
| Sep 30, 2022 | 14.59 Mn |
| Jun 30, 2022 | 14.19 Mn |
| Mar 31, 2022 | 13.47 Mn |
| Dec 31, 2021 | 12.86 Mn |
| Sep 30, 2021 | 12.44 Mn |
API Access
VirTra Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=VTSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=VTSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();