VirTra (VTSI) Capital Expenditures (2016 - 2026)
VirTra (VTSI) posted Capital Expenditures of $916,134 for Q2 2026, up 61.3% from $568,081 a year earlier and up 845.7% from the prior quarter.
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Analysis
VirTra (VTSI) Capital Expenditures (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at VirTra was $1.53 million, up 24.2% year-over-year; for FY2025, it came in at $1.52 million, down 17.9% from FY2024.
- Annual Capital Expenditures shows a four-year compound annual growth rate of -18.6% (FY2021 to FY2025).
- In prior years, VirTra's Capital Expenditures was $1.85 million in FY2024 (+63.6%), $1.13 million in FY2023 (-65.0%), $3.22 million in FY2022 (-6.6%) and $3.45 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Capital Expenditures since Q1 2024.
- On a year-over-year basis, Capital Expenditures increased in three of the last seven quarters, with growth averaging 129.2%.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q1 2024, with growth of 846.4%; the weakest was Q3 2022, with a decline of 94.5%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $96,875 (Q1 2026), $616,302 (Q4 2025) and -$97,499 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 335.00 Mn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 669.00 Mn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 733.00 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 318.00 Mn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 104.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 234.00 Mn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 55.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 302.00 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 315.00 Mn |
| 10 | VirTra | 30.79 Mn | -40.74 Mn | 3.42 Mn | 916,134.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 916,134.00 |
| Mar 31, 2026 | 96,875.00 |
| Dec 31, 2025 | 616,302.00 |
| Sep 30, 2025 | -97,499.00 |
| Jun 30, 2025 | 568,081.00 |
| Mar 31, 2025 | 428,371.00 |
| Dec 31, 2024 | 153,323.00 |
| Sep 30, 2024 | 83,451.00 |
| Jun 30, 2024 | 62,026.00 |
| Mar 31, 2024 | 1.55 Mn |
| Dec 31, 2023 | 615,938.00 |
| Sep 30, 2023 | 166,609.00 |
| Jun 30, 2023 | 182,199.00 |
| Mar 31, 2023 | 163,441.00 |
| Dec 31, 2022 | 897,124.00 |
| Sep 30, 2022 | 598,332.00 |
| Jun 30, 2022 | 921,293.00 |
| Mar 31, 2022 | 804,433.00 |
| Dec 31, 2021 | -7.96 Mn |
| Sep 30, 2021 | 10.81 Mn |
API Access
VirTra Capital Expenditures 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=capital-expenditures&ticker=VTSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=VTSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();