VirTra (VTSI) Total Non-Current Liabilities (2016 - 2026)
VirTra's Total Non-Current Liabilities was $12.26 million in Q2 2026, up 22.7% from $10 million a year earlier and up 38.6% from the prior quarter.
Powered by 
Analysis
VirTra (VTSI) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at VirTra came in at $9.32 million, down 7.9% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 19.4% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $10.12 million in FY2024 (-10.1%), $11.26 million in FY2023 (+8.5%), $10.38 million in FY2022 (-3.8%) and $10.78 million in FY2021 (+181.1%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2016.
- Compared with a year earlier, Total Non-Current Liabilities was higher in 1 of the last eight quarters, with an average decline of 5.4%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2021 (growth of 265.4%); the worst was Q3 2025 (a decline of 11.6%).
- Per Business Quant data, VTSI's Total Non-Current Liabilities in the three quarters before Q2 2026 was $8.85 million (Q1 2026), $9.32 million (Q4 2025) and $9.69 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 102.53 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 86.00 Mn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 157.29 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 48.28 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 6.90 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 14.57 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 14.44 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 30.72 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 52.22 Bn |
| 10 | VirTra | 30.79 Mn | -40.74 Mn | 3.42 Mn | 12.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.26 Mn |
| Mar 31, 2026 | 8.85 Mn |
| Dec 31, 2025 | 9.32 Mn |
| Sep 30, 2025 | 9.69 Mn |
| Jun 30, 2025 | 10.00 Mn |
| Mar 31, 2025 | 9.84 Mn |
| Dec 31, 2024 | 10.12 Mn |
| Sep 30, 2024 | 10.96 Mn |
| Jun 30, 2024 | 11.07 Mn |
| Mar 31, 2024 | 11.05 Mn |
| Dec 31, 2023 | 11.26 Mn |
| Sep 30, 2023 | 11.63 Mn |
| Jun 30, 2023 | 10.92 Mn |
| Mar 31, 2023 | 10.92 Mn |
| Dec 31, 2022 | 10.38 Mn |
| Sep 30, 2022 | 11.95 Mn |
| Jun 30, 2022 | 11.17 Mn |
| Mar 31, 2022 | 10.89 Mn |
| Dec 31, 2021 | 10.78 Mn |
| Sep 30, 2021 | 10.90 Mn |
API Access
VirTra Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=VTSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=VTSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();