Vse (VSEC) Accumulated Expenses (2010 - 2026)
Vse's Accumulated Expenses came in at $96.08 million for Q2 2026, up 84.7% from $52.01 million a year earlier and up 46.6% from the prior quarter.
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Analysis
Vse (VSEC) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Vse's Accumulated Expenses was $73.16 million, up 38.7% from FY2024.
- Accumulated Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 10.1% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $52.75 million in FY2024 (+45.0%), $36.38 million in FY2023 (+14.1%), $31.89 million in FY2022 (-35.5%) and $49.47 million in FY2021 (+9.5%).
- The Q2 2026 figure represents the highest quarterly Accumulated Expenses in data going back to Q4 2010.
- Year-over-year, Accumulated Expenses has increased for nine consecutive quarters, with growth averaging 40.1% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q2 2026 (growth of 84.7%), and the weakest in Q2 2023 (a decline of 37.2%).
- Business Quant data shows VSEC's Accumulated Expenses at $65.55 million (Q1 2026), $73.16 million (Q4 2025) and $61.36 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 348.08 Bn | 306.60 Bn | 5.02 Bn |
| 2 | Rtx | 265.63 Bn | 233.90 Bn | 5.81 Bn |
| 3 | Boeing | 136.74 Bn | 45.69 Bn | 2.17 Bn |
| 4 | Lockheed Martin | 135.57 Bn | 119.80 Bn | 2.44 Bn |
| 5 | General Dynamics | 97.85 Bn | 83.08 Bn | 2.25 Bn |
| 6 | Motorola Solutions | 87.60 Bn | 84.06 Bn | 1.77 Bn |
| 7 | Howmet Aerospace | 85.98 Bn | 81.73 Bn | 1.00 Bn |
| 8 | Northrop Grumman | 76.55 Bn | 64.01 Bn | 2.35 Bn |
| 9 | Honeywell International | 72.76 Bn | 32.28 Bn | 2.02 Bn |
| 10 | Vse | 5.96 Bn | 4.51 Bn | 96.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 99.49 Mn |
| Jun 30, 2026 | 96.08 Mn |
| Mar 31, 2026 | 65.55 Mn |
| Dec 31, 2025 | 73.16 Mn |
| Sep 30, 2025 | 61.36 Mn |
| Jun 30, 2025 | 52.01 Mn |
| Mar 31, 2025 | 46.79 Mn |
| Dec 31, 2024 | 52.75 Mn |
| Sep 30, 2024 | 55.52 Mn |
| Jun 30, 2024 | 49.16 Mn |
| Mar 31, 2024 | 35.99 Mn |
| Dec 31, 2023 | 36.38 Mn |
| Sep 30, 2023 | 33.39 Mn |
| Jun 30, 2023 | 30.30 Mn |
| Mar 31, 2023 | 44.30 Mn |
| Dec 31, 2022 | 31.89 Mn |
| Sep 30, 2022 | 50.79 Mn |
| Jun 30, 2022 | 48.23 Mn |
| Mar 31, 2022 | 46.68 Mn |
| Dec 31, 2021 | 49.47 Mn |
API Access
Vse Accumulated 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=accumulated-expenses&ticker=VSEC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=VSEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();