Vse (VSEC) Total Liabilities (2010 - 2026)
Vse (VSEC) posted Total Liabilities of $1.46 billion for Q2 2026, up 135.2% from $622.5 million a year earlier and up 127.2% from the prior quarter.
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Analysis
Vse (VSEC) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Vse's Total Liabilities came in at $589.77 million, down 21.8% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- In prior years, Vse's Total Liabilities was $754.44 million in FY2024 (+2.8%), $733.61 million in FY2023 (+33.3%), $550.26 million in FY2022 (+9.8%) and $501.23 million in FY2021 (+18.3%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q4 2010.
- On a year-over-year basis, Total Liabilities increased in three of the last eight quarters, with growth averaging 8.8%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2026, with growth of 135.2%; the weakest was Q4 2025, with a decline of 21.8%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $644.45 million (Q1 2026), $589.77 million (Q4 2025) and $577.11 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 348.08 Bn | 306.60 Bn | 5.02 Bn | 109.44 Bn |
| 2 | Rtx | 265.63 Bn | 233.90 Bn | 5.81 Bn | 105.63 Bn |
| 3 | Boeing | 136.74 Bn | 45.69 Bn | 2.17 Bn | 164.18 Bn |
| 4 | Lockheed Martin | 135.57 Bn | 119.80 Bn | 2.44 Bn | 54.45 Bn |
| 5 | General Dynamics | 97.85 Bn | 83.08 Bn | 2.25 Bn | 32.91 Bn |
| 6 | Motorola Solutions | 87.60 Bn | 84.06 Bn | 1.77 Bn | 18.06 Bn |
| 7 | Howmet Aerospace | 85.98 Bn | 81.73 Bn | 1.00 Bn | 7.52 Bn |
| 8 | Northrop Grumman | 76.55 Bn | 64.01 Bn | 2.35 Bn | 33.81 Bn |
| 9 | Honeywell International | 72.76 Bn | 32.28 Bn | 2.02 Bn | 30.44 Bn |
| 10 | Vse | 5.96 Bn | 4.51 Bn | 96.95 Mn | 1.50 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.50 Bn |
| Jun 30, 2026 | 1.46 Bn |
| Mar 31, 2026 | 644.45 Mn |
| Dec 31, 2025 | 589.77 Mn |
| Sep 30, 2025 | 577.11 Mn |
| Jun 30, 2025 | 622.50 Mn |
| Mar 31, 2025 | 757.24 Mn |
| Dec 31, 2024 | 754.44 Mn |
| Sep 30, 2024 | 676.20 Mn |
| Jun 30, 2024 | 712.98 Mn |
| Mar 31, 2024 | 724.19 Mn |
| Dec 31, 2023 | 733.61 Mn |
| Sep 30, 2023 | 733.46 Mn |
| Jun 30, 2023 | 604.33 Mn |
| Mar 31, 2023 | 587.09 Mn |
| Dec 31, 2022 | 550.26 Mn |
| Sep 30, 2022 | 512.10 Mn |
| Jun 30, 2022 | 515.94 Mn |
| Mar 31, 2022 | 497.18 Mn |
| Dec 31, 2021 | 501.23 Mn |
API Access
Vse Total 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-liabilities&ticker=VSEC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=VSEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();