Vse (VSEC) Operating Expenses (2010 - 2026)
Vse's Operating Expenses came in at $400.18 million for Q2 2026, up 60.3% from $249.63 million a year earlier and up 37.1% from the prior quarter.
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Analysis
Vse (VSEC) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Vse reported Operating Expenses of $1.23 billion, up 41.5% year-over-year; for FY2025, it was $1.02 billion, up 40.6% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 11.0% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $727.5 million in FY2024 (+47.3%), $493.88 million in FY2023 (-19.8%), $615.84 million in FY2022 (+27.2%) and $484.09 million in FY2021 (-20.2%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q3 2010.
- Year-over-year, Operating Expenses has increased for six consecutive quarters, with growth averaging 34.7% over the last seven quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2026 (growth of 60.3%), and the weakest in Q1 2023 (a decline of 21.7%).
- Business Quant data shows VSEC's Operating Expenses at $291.83 million (Q1 2026), $268.69 million (Q4 2025) and $272.82 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 156.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 12.63 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 1.87 Bn |
| 10 | Vse | 4.90 Bn | 3.51 Bn | 76.44 Mn | 400.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 400.18 Mn |
| Mar 31, 2026 | 291.83 Mn |
| Dec 31, 2025 | 268.69 Mn |
| Sep 30, 2025 | 272.82 Mn |
| Jun 30, 2025 | 249.63 Mn |
| Mar 31, 2025 | 231.54 Mn |
| Dec 31, 2024 | 206.96 Mn |
| Sep 30, 2024 | 183.57 Mn |
| Jun 30, 2024 | 190.23 Mn |
| Mar 31, 2024 | 146.74 Mn |
| Dec 31, 2023 | -68.61 Mn |
| Sep 30, 2023 | 206.09 Mn |
| Jun 30, 2023 | 184.59 Mn |
| Mar 31, 2023 | 171.81 Mn |
| Dec 31, 2022 | 156.05 Mn |
| Sep 30, 2022 | 152.27 Mn |
| Jun 30, 2022 | 159.23 Mn |
| Mar 31, 2022 | 219.33 Mn |
| Dec 31, 2021 | -45.81 Mn |
| Sep 30, 2021 | 186.69 Mn |
API Access
Vse Operating 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=operating-expenses&ticker=VSEC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=VSEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();