V2X (VVX) Change in Accured Expenses (2013 - 2026)
V2X's Change in Accured Expenses was -$36.19 million in Q2 2026, compared with $25.29 million a year earlier.
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Analysis
V2X (VVX) Change in Accured Expenses (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, V2X's Change in Accured Expenses was -$15.79 million through Jul 3, 2026; for FY2025, it came in at $9.12 million, down 0.1% from FY2024.
- Change in Accured Expenses shows a five-year compound annual growth rate of -5.3% (FY2020 to FY2025).
- In earlier years, Change in Accured Expenses was $9.13 million in FY2024, -$9.9 million in FY2023, $42.88 million in FY2022 and $1.13 million in FY2021 (-90.6%).
- The Q2 2026 figure marks the lowest quarterly Change in Accured Expenses since Q1 2025.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q4 2022 (growth of 203.3%); the worst was Q2 2023 (a decline of 95.6%).
- Per Business Quant data, VVX's Change in Accured Expenses in the three quarters before Q2 2026 was -$6.05 million (Q1 2026), $19.71 million (Q4 2025) and $6.74 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | - |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 2.10 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 190.00 Mn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 41.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | - |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 82.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | -34.00 Mn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 895.00 Mn |
| 10 | V2X | 2.22 Bn | 1.24 Bn | 109.50 Mn | -36.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | -36.19 Mn |
| Apr 3, 2026 | -6.05 Mn |
| Dec 31, 2025 | 19.71 Mn |
| Sep 26, 2025 | 6.74 Mn |
| Jun 27, 2025 | 25.29 Mn |
| Mar 28, 2025 | -42.61 Mn |
| Dec 31, 2024 | 51.55 Mn |
| Sep 27, 2024 | -50.90 Mn |
| Jun 28, 2024 | 27.09 Mn |
| Mar 29, 2024 | -18.61 Mn |
| Dec 31, 2023 | 18.72 Mn |
| Sep 29, 2023 | -5.47 Mn |
| Jun 30, 2023 | 1.03 Mn |
| Mar 31, 2023 | -24.18 Mn |
| Dec 31, 2022 | 20.84 Mn |
| Sep 30, 2022 | 19.53 Mn |
| Jul 1, 2022 | 23.65 Mn |
| Apr 1, 2022 | -21.14 Mn |
| Dec 31, 2021 | 6.87 Mn |
| Oct 1, 2021 | -17.02 Mn |
API Access
V2X Change in Accured Expenses 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=change-in-accured-expenses&ticker=VVX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=VVX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();