VirTra (VTSI) Long-Term Debt Repayments (2021 - 2026)
VirTra (VTSI) posted Long-Term Debt Repayments of $54,962 for Q2 2026, down 13.4% from $63,441 a year earlier and down 18.2% from the prior quarter.
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Analysis
VirTra (VTSI) Long-Term Debt Repayments (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at VirTra was $246,606, down 2.2% year-over-year; for FY2025, it was $253,452, up 5.2% from FY2024.
- Annual Long-Term Debt Repayments shows a four-year compound annual growth rate of 34.2% (FY2021 to FY2025).
- In prior years, VirTra's Long-Term Debt Repayments was $240,862 in FY2024 (-0.9%), $243,084 in FY2023 (+5.1%), $231,264 in FY2022 (+195.7%) and $78,212 in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Long-Term Debt Repayments since Q1 2024.
- On a year-over-year basis, Long-Term Debt Repayments increased in four of the last eight quarters, with growth averaging 6.6%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q1 2022, with growth of 576.8%; the weakest was Q1 2024, with a decline of 39.1%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $67,154 (Q1 2026), $60,396 (Q4 2025) and $64,094 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 305.96 Bn | 264.47 Bn | 5.02 Bn | 248.00 Mn |
| 2 | Rtx | 258.78 Bn | 227.05 Bn | 5.81 Bn | 2.00 Mn |
| 3 | Boeing | 152.08 Bn | 58.77 Bn | 2.41 Bn | 1.43 Bn |
| 4 | Lockheed Martin | 127.01 Bn | 113.73 Bn | 2.45 Bn | 168.00 Mn |
| 5 | General Dynamics | 93.41 Bn | 80.52 Bn | 2.18 Bn | 500.00 Mn |
| 6 | Howmet Aerospace | 83.06 Bn | 78.66 Bn | 951.00 Mn | 186.00 Mn |
| 7 | Motorola Solutions | 77.59 Bn | 73.94 Bn | 1.68 Bn | - |
| 8 | Northrop Grumman | 76.72 Bn | 64.17 Bn | 2.35 Bn | - |
| 9 | Honeywell International | 68.15 Bn | 20.27 Bn | 3.65 Bn | 582.00 Mn |
| 10 | VirTra | 30.42 Mn | -41.11 Mn | 3.42 Mn | 54,962.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54,962.00 |
| Mar 31, 2026 | 67,154.00 |
| Dec 31, 2025 | 60,396.00 |
| Sep 30, 2025 | 64,094.00 |
| Jun 30, 2025 | 63,441.00 |
| Mar 31, 2025 | 65,521.00 |
| Dec 31, 2024 | 57,641.00 |
| Sep 30, 2024 | 65,436.00 |
| Jun 30, 2024 | 82,633.00 |
| Mar 31, 2024 | 35,152.00 |
| Dec 31, 2023 | 65,260.00 |
| Sep 30, 2023 | 59,737.00 |
| Jun 30, 2023 | 60,337.00 |
| Mar 31, 2023 | 57,750.00 |
| Dec 31, 2022 | 58,675.00 |
| Sep 30, 2022 | 57,540.00 |
| Jun 30, 2022 | 57,074.00 |
| Mar 31, 2022 | 57,975.00 |
| Dec 31, 2021 | 58,017.00 |
| Mar 31, 2021 | 8,566.00 |
API Access
VirTra Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=VTSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=VTSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();