V2X (VVX) Total Current Liabilities (2013 - 2026)
V2X (VVX) reported Total Current Liabilities of $914.41 million for Q2 2026, up 3.1% from $886.54 million a year earlier but down 2.0% from the prior quarter.
V2X (VVX) Total Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, V2X posted Total Current Liabilities of $1.01 billion, up 1.1% from FY2024.
- Total Current Liabilities has increased for eight consecutive years, with a five-year compound annual growth rate of 28.4% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $996.22 million in FY2024 (+18.6%), $840.2 million in FY2023 (+7.3%), $783.13 million in FY2022 (+118.6%) and $358.25 million in FY2021 (+24.2%).
- Five-year quarterly Total Current Liabilities spans a low of $342.31 million in Q3 2021 and a high of $1.01 billion in Q4 2025.
- Year over year, Total Current Liabilities has now increased in each of the last four quarters, with growth averaging 5.2% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q4 2022 (growth of 118.6%); the low point was Q2 2025 (a decline of 0.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $933.3 million (Q1 2026), $1.01 billion (Q4 2025) and $914.26 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 40.43 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 63.25 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 109.56 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 23.81 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 2.31 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 18.77 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 5.58 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 13.35 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 23.19 Bn |
| 10 | V2X | 2.22 Bn | 1.24 Bn | 109.50 Mn | 914.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 914.41 Mn |
| Apr 3, 2026 | 933.30 Mn |
| Dec 31, 2025 | 1.01 Bn |
| Sep 26, 2025 | 914.26 Mn |
| Jun 27, 2025 | 886.54 Mn |
| Mar 28, 2025 | 867.09 Mn |
| Dec 31, 2024 | 996.22 Mn |
| Sep 27, 2024 | 906.05 Mn |
| Jun 28, 2024 | 888.18 Mn |
| Mar 29, 2024 | 852.74 Mn |
| Dec 31, 2023 | 840.20 Mn |
| Sep 29, 2023 | 830.35 Mn |
| Jun 30, 2023 | 832.33 Mn |
| Mar 31, 2023 | 760.19 Mn |
| Dec 31, 2022 | 783.13 Mn |
| Sep 30, 2022 | 717.68 Mn |
| Jul 1, 2022 | 385.34 Mn |
| Apr 1, 2022 | 359.59 Mn |
| Dec 31, 2021 | 358.25 Mn |
| Oct 1, 2021 | 342.31 Mn |
V2X Total 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-current-liabilities&ticker=VVX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=VVX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();