VirTra (VTSI) Cost of Revenue (2016 - 2026)
VirTra (VTSI) posted Cost of Revenue of $2.35 million for Q2 2026, up 8.4% from $2.17 million a year earlier and up 75.2% from the prior quarter.
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Analysis
VirTra (VTSI) Cost of Revenue (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at VirTra was $6.76 million, down 14.3% year-over-year; for FY2025, it was $7.2 million, up 3.8% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- In prior years, VirTra's Cost of Revenue was $6.94 million in FY2024 (-39.0%), $11.38 million in FY2023 (-5.6%), $12.05 million in FY2022 (-7.5%) and $13.03 million in FY2021 (+81.3%).
- The Q2 2026 figure stands as the highest quarterly Cost of Revenue since Q1 2024.
- On a year-over-year basis, Cost of Revenue increased in three of the last eight quarters, with growth averaging 25.2%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q2 2025, with growth of 293.6%; the weakest was Q2 2024, with a decline of 87.5%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $1.34 million (Q1 2026), $1.24 million (Q4 2025) and $1.83 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 8.67 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 19.58 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 22.15 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 17.62 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 1.60 Bn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 11.91 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 1.46 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 8.76 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 6.07 Bn |
| 10 | VirTra | 31.58 Mn | -39.94 Mn | 3.42 Mn | 2.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.35 Mn |
| Mar 31, 2026 | 1.34 Mn |
| Dec 31, 2025 | 1.24 Mn |
| Sep 30, 2025 | 1.83 Mn |
| Jun 30, 2025 | 2.17 Mn |
| Mar 31, 2025 | 1.96 Mn |
| Dec 31, 2024 | 1.77 Mn |
| Sep 30, 2024 | 1.99 Mn |
| Jun 30, 2024 | 550,424.00 |
| Mar 31, 2024 | 2.63 Mn |
| Dec 31, 2023 | 1.71 Mn |
| Sep 30, 2023 | 2.18 Mn |
| Jun 30, 2023 | 4.42 Mn |
| Mar 31, 2023 | 3.08 Mn |
| Dec 31, 2022 | 3.34 Mn |
| Sep 30, 2022 | 2.39 Mn |
| Jun 30, 2022 | 3.25 Mn |
| Mar 31, 2022 | 3.07 Mn |
| Dec 31, 2021 | 5.82 Mn |
| Sep 30, 2021 | 3.22 Mn |
API Access
VirTra Cost of Revenue 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=cost-of-revenue&ticker=VTSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=VTSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();