V2X (VVX) Short-Term Debt repayments (2014 - 2025)
V2X (VVX) reported Short-Term Debt repayments of $203.5 million for Q4 2025, down 20.8% from $257 million a year earlier but up 45.4% from the prior quarter.
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Analysis
V2X (VVX) Short-Term Debt repayments (2014 - 2025) Analysis & Trends
For FY2025, V2X posted Short-Term Debt repayments of $662.5 million, down 47.7% from FY2024.
- Short-Term Debt repayments has a five-year compound annual growth rate of 27.2% (FY2020 to FY2025).
- By year, Short-Term Debt repayments came in at $1.27 billion in FY2024 (+37.2%), $922.75 million in FY2023 (+95.1%), $472.93 million in FY2022 (-20.4%) and $594 million in FY2021 (+198.5%).
- Five-year quarterly Short-Term Debt repayments spans a low of -$22.08 million in Q4 2022 and a high of $406.5 million in Q3 2024.
- Year over year, Short-Term Debt repayments has now declined in each of the last four quarters, with growth averaging 1.5% over the last eight quarters.
- The high point for year-over-year Short-Term Debt repayments in five years was Q4 2021 (growth of 310.4%); the low point was Q3 2025 (a decline of 65.6%).
- Per Business Quant data, the three quarters before Q4 2025 came in at $140 million (Q3 2025), $178 million (Q2 2025) and $141 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 303.30 Bn | 262.05 Bn | 5.02 Bn | - |
| 2 | Rtx | 262.79 Bn | 232.77 Bn | 5.81 Bn | - |
| 3 | Boeing | 148.22 Bn | 54.92 Bn | 2.41 Bn | - |
| 4 | Lockheed Martin | 136.34 Bn | 120.57 Bn | 2.44 Bn | - |
| 5 | General Dynamics | 94.90 Bn | 82.01 Bn | 2.18 Bn | - |
| 6 | Motorola Solutions | 79.08 Bn | 75.44 Bn | 1.68 Bn | - |
| 7 | Northrop Grumman | 78.49 Bn | 65.95 Bn | 2.35 Bn | - |
| 8 | Howmet Aerospace | 77.28 Bn | 72.89 Bn | 951.00 Mn | - |
| 9 | Honeywell International | 69.19 Bn | 21.64 Bn | 3.65 Bn | 5.31 Bn |
| 10 | V2X | 2.30 Bn | 1.33 Bn | 109.50 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 203.50 Mn |
| Sep 26, 2025 | 140.00 Mn |
| Jun 27, 2025 | 178.00 Mn |
| Mar 28, 2025 | 141.00 Mn |
| Dec 31, 2024 | 257.00 Mn |
| Sep 27, 2024 | 406.50 Mn |
| Jun 28, 2024 | 283.50 Mn |
| Mar 29, 2024 | 319.25 Mn |
| Dec 31, 2023 | 253.00 Mn |
| Sep 29, 2023 | 202.00 Mn |
| Jun 30, 2023 | 304.00 Mn |
| Mar 31, 2023 | 163.75 Mn |
| Dec 31, 2022 | -22.08 Mn |
| Sep 30, 2022 | 93.00 Mn |
| Jul 1, 2022 | 202.00 Mn |
| Apr 1, 2022 | 200.00 Mn |
| Dec 31, 2021 | 197.00 Mn |
| Oct 1, 2021 | 182.00 Mn |
| Jul 2, 2021 | 105.00 Mn |
| Apr 2, 2021 | 110.00 Mn |
API Access
V2X Short-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=short-term-debt-repayments&ticker=VVX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-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=short-term-debt-repayments&ticker=VVX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();