V2X (VVX) Total Liabilities (2013 - 2026)
V2X's Total Liabilities came in at $2.06 billion for Q2 2026, down 0.8% from $2.08 billion a year earlier and down 1.1% from the prior quarter.
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Analysis
V2X (VVX) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, V2X's Total Liabilities was $2.19 billion, down 0.7% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 32.3% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $2.2 billion in FY2024 (+5.3%), $2.09 billion in FY2023 (-6.5%), $2.24 billion in FY2022 (+314.6%) and $539.37 million in FY2021 (+0.1%).
- The Q2 2026 figure represents the lowest quarterly Total Liabilities since Q2 2022.
- Year-over-year, Total Liabilities increased in two of the last eight quarters, with an average decline of 0.6%.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2022 (growth of 314.6%), and the weakest in Q4 2023 (a decline of 6.5%).
- Business Quant data shows VVX's Total Liabilities at $2.09 billion (Q1 2026), $2.19 billion (Q4 2025) and $2.1 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 53.68 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 7.52 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 33.34 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 58.49 Bn |
| 10 | V2X | 2.22 Bn | 1.24 Bn | 109.50 Mn | 2.06 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 2.06 Bn |
| Apr 3, 2026 | 2.09 Bn |
| Dec 31, 2025 | 2.19 Bn |
| Sep 26, 2025 | 2.10 Bn |
| Jun 27, 2025 | 2.08 Bn |
| Mar 28, 2025 | 2.07 Bn |
| Dec 31, 2024 | 2.20 Bn |
| Sep 27, 2024 | 2.12 Bn |
| Jun 28, 2024 | 2.16 Bn |
| Mar 29, 2024 | 2.15 Bn |
| Dec 31, 2023 | 2.09 Bn |
| Sep 29, 2023 | 2.14 Bn |
| Jun 30, 2023 | 2.19 Bn |
| Mar 31, 2023 | 2.23 Bn |
| Dec 31, 2022 | 2.24 Bn |
| Sep 30, 2022 | 2.18 Bn |
| Jul 1, 2022 | 542.37 Mn |
| Apr 1, 2022 | 545.42 Mn |
| Dec 31, 2021 | 539.37 Mn |
| Oct 1, 2021 | 552.95 Mn |
API Access
V2X Total 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-liabilities&ticker=VVX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=VVX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();