V2X (VVX) Long-Term Debt Repayments (2014 - 2026)
V2X (VVX) posted Long-Term Debt Repayments of $13.66 million for Q2 2026, up 258.2% from $3.81 million a year earlier but down 42.5% from the prior quarter.
V2X (VVX) Long-Term Debt Repayments (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jul 3, 2026, Long-Term Debt Repayments at V2X was $48.59 million, up 323.6% year-over-year; for FY2025, it was $15.01 million, down 2.0% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 18.2% (FY2020 to FY2025).
- In prior years, V2X's Long-Term Debt Repayments was $15.33 million in FY2024 (-96.5%), $432.6 million in FY2023 (+299.1%), $108.4 million in FY2022 and $8.6 million in FY2021 (+32.3%).
- Quarterly Long-Term Debt Repayments has run from a low of $2 million in Q3 2021 to a high of $421.01 million in Q1 2023 over five years.
- On a year-over-year basis, Long-Term Debt Repayments increased in two of the last four quarters, with growth averaging 88.7%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q2 2026, with growth of 258.2%; the weakest was Q1 2024, with a decline of 99.1%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $23.73 million (Q1 2026), $7.47 million (Q4 2025) and $3.73 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 296.44 Bn | 254.96 Bn | 5.02 Bn | 248.00 Mn |
| 2 | Rtx | 258.97 Bn | 227.24 Bn | 5.81 Bn | 2.00 Mn |
| 3 | Boeing | 146.80 Bn | 53.49 Bn | 2.41 Bn | 1.43 Bn |
| 4 | Lockheed Martin | 137.01 Bn | 121.24 Bn | 2.44 Bn | - |
| 5 | General Dynamics | 94.12 Bn | 81.24 Bn | 2.18 Bn | 500.00 Mn |
| 6 | Motorola Solutions | 79.04 Bn | 75.38 Bn | 1.68 Bn | - |
| 7 | Northrop Grumman | 77.42 Bn | 64.88 Bn | 2.35 Bn | - |
| 8 | Howmet Aerospace | 74.83 Bn | 70.43 Bn | 951.00 Mn | 186.00 Mn |
| 9 | Honeywell International | 68.88 Bn | 21.00 Bn | 3.65 Bn | 582.00 Mn |
| 10 | V2X | 2.28 Bn | 1.31 Bn | 109.50 Mn | 13.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 13.66 Mn |
| Apr 3, 2026 | 23.73 Mn |
| Dec 31, 2025 | 7.47 Mn |
| Sep 26, 2025 | 3.73 Mn |
| Jun 27, 2025 | 3.81 Mn |
| Dec 31, 2024 | 7.66 Mn |
| Jun 28, 2024 | 3.83 Mn |
| Mar 29, 2024 | 3.84 Mn |
| Dec 31, 2023 | 3.84 Mn |
| Sep 29, 2023 | 3.88 Mn |
| Jun 30, 2023 | 3.88 Mn |
| Mar 31, 2023 | 421.01 Mn |
| Dec 31, 2022 | 50.04 Mn |
| Sep 30, 2022 | 53.16 Mn |
| Jul 1, 2022 | 2.60 Mn |
| Apr 1, 2022 | 2.60 Mn |
| Dec 31, 2021 | 2.60 Mn |
| Oct 1, 2021 | 2.00 Mn |
| Jul 2, 2021 | 2.00 Mn |
| Apr 2, 2021 | 2.00 Mn |
V2X 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=VVX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "VVX", "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=VVX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();