VirTra (VTSI) EBITDA (2016 - 2026)
VirTra (VTSI) reported EBITDA of $332,903 for Q2 2026, down 76.7% from $1.43 million a year earlier.
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Analysis
VirTra (VTSI) EBITDA (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, VirTra's EBITDA came in at -$1.44 million; for FY2025, it came in at $2.2 million, down 29.8% from FY2024.
- EBITDA has a five-year compound annual growth rate of 6.5% (FY2020 to FY2025).
- By year, EBITDA came in at $3.13 million in FY2024 (-71.0%), $10.81 million in FY2023 (+210.7%), $3.48 million in FY2022 (+70.4%) and $2.04 million in FY2021 (+27.2%).
- Five-year quarterly EBITDA spans a low of -$986,743 in Q4 2024 and a high of $3.7 million in Q1 2023.
- Year over year, EBITDA gained in two of the last four quarters, with an average decline of 7.5%.
- The high point for year-over-year EBITDA in five years was Q1 2023 (growth of 299.0%); the low point was Q4 2021 (a decline of 98.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$858,014 (Q1 2026), -$584,454 (Q4 2025) and -$327,594 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | -5.87 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 3.89 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 752.00 Mn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 2.88 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 795.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 1.68 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 957.00 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 1.46 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 2.10 Bn |
| 10 | VirTra | 32.03 Mn | -39.49 Mn | 3.42 Mn | 332,903.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 332,903.00 |
| Mar 31, 2026 | -858,014.00 |
| Dec 31, 2025 | -584,454.00 |
| Sep 30, 2025 | -327,594.00 |
| Jun 30, 2025 | 1.43 Mn |
| Mar 31, 2025 | 1.68 Mn |
| Dec 31, 2024 | -986,743.00 |
| Sep 30, 2024 | 1.07 Mn |
| Jun 30, 2024 | 1.42 Mn |
| Mar 31, 2024 | 886,909.00 |
| Dec 31, 2023 | 3.04 Mn |
| Sep 30, 2023 | 1.89 Mn |
| Jun 30, 2023 | 2.18 Mn |
| Mar 31, 2023 | 3.70 Mn |
| Dec 31, 2022 | 2.14 Mn |
| Sep 30, 2022 | -858,813.00 |
| Jun 30, 2022 | 1.27 Mn |
| Mar 31, 2022 | 927,049.00 |
| Dec 31, 2021 | 25,440.00 |
| Sep 30, 2021 | 431,677.00 |
API Access
VirTra EBITDA 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=ebitda&ticker=VTSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=VTSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();