Vse (VSEC) Change in Accured Expenses (2010 - 2026)
Vse's Change in Accured Expenses was $4.41 million in Q2 2026, down 33.0% from $6.58 million a year earlier.
Vse (VSEC) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Vse's Change in Accured Expenses was $827,000 through Jun 30, 2026, down 91.1% year-over-year; for FY2025, it came in at -$8.07 million.
- In earlier years, Change in Accured Expenses was $5.96 million in FY2024, -$4.45 million in FY2023, $3.74 million in FY2022 and -$5.25 million in FY2021.
- Quarterly Change in Accured Expenses has moved between -$14.83 million (Q1 2024) and $13.88 million (Q3 2024) over five years.
- Compared with a year earlier, Change in Accured Expenses was higher in two of the last four quarters, with an average decline of 15.5%.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q2 2023 (growth of 344.0%); the worst was Q3 2025 (a decline of 75.6%).
- Per Business Quant data, VSEC's Change in Accured Expenses in the three quarters before Q2 2026 was -$1.45 million (Q1 2026), -$5.52 million (Q4 2025) and $3.39 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.20 Bn | 278.20 Bn | 4.68 Bn | - |
| 2 | Rtx | 249.38 Bn | 222.59 Bn | 5.13 Bn | 2.10 Bn |
| 3 | Boeing | 152.06 Bn | 58.76 Bn | 2.41 Bn | 190.00 Mn |
| 4 | Lockheed Martin | 116.66 Bn | 103.39 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 91.36 Bn | 86.97 Bn | 951.00 Mn | 41.00 Mn |
| 6 | General Dynamics | 90.03 Bn | 77.14 Bn | 2.18 Bn | - |
| 7 | Motorola Solutions | 74.17 Bn | 70.53 Bn | 1.68 Bn | 82.00 Mn |
| 8 | Northrop Grumman | 68.46 Bn | 57.71 Bn | 2.12 Bn | -34.00 Mn |
| 9 | Honeywell International | 67.76 Bn | 20.21 Bn | 3.65 Bn | 895.00 Mn |
| 10 | Vse | 4.51 Bn | 3.12 Bn | 76.44 Mn | 4.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.41 Mn |
| Mar 31, 2026 | -1.45 Mn |
| Dec 31, 2025 | -5.52 Mn |
| Sep 30, 2025 | 3.39 Mn |
| Jun 30, 2025 | 6.58 Mn |
| Mar 31, 2025 | -12.51 Mn |
| Dec 31, 2024 | 1.39 Mn |
| Sep 30, 2024 | 13.88 Mn |
| Jun 30, 2024 | 5.52 Mn |
| Mar 31, 2024 | -14.83 Mn |
| Dec 31, 2023 | 1.09 Mn |
| Sep 30, 2023 | -2.49 Mn |
| Jun 30, 2023 | 6.43 Mn |
| Mar 31, 2023 | -9.48 Mn |
| Dec 31, 2022 | 1.13 Mn |
| Sep 30, 2022 | 2.31 Mn |
| Jun 30, 2022 | 1.45 Mn |
| Mar 31, 2022 | -1.15 Mn |
| Dec 31, 2021 | -12.71 Mn |
| Sep 30, 2021 | -2.56 Mn |
Vse 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=VSEC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "VSEC", "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=VSEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();