Cpi Aerostructures (CVU) Total Liabilities (2010 - 2026)
Cpi Aerostructures (CVU) posted Total Liabilities of $50.6 million for Q2 2026, up 4.4% from $48.48 million a year earlier and up 1.1% from the prior quarter.
Cpi Aerostructures (CVU) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Cpi Aerostructures' Total Liabilities came in at $49.44 million, up 17.6% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -3.6% (FY2020 to FY2025).
- In prior years, Cpi Aerostructures' Total Liabilities was $42.05 million in FY2024 (-19.6%), $52.28 million in FY2023 (-5.4%), $55.25 million in FY2022 (-8.4%) and $60.34 million in FY2021 (+1.4%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q4 2023.
- On a year-over-year basis, Total Liabilities has increased in each of the last five quarters, with growth averaging 1.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2026, with growth of 23.7%; the weakest was Q4 2024, with a decline of 19.6%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $50.03 million (Q1 2026), $49.44 million (Q4 2025) and $49.07 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 311.51 Bn | 265.28 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 260.81 Bn | 232.28 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 150.42 Bn | 57.11 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 126.49 Bn | 113.21 Bn | 2.45 Bn | 53.68 Bn |
| 5 | General Dynamics | 93.01 Bn | 80.13 Bn | 2.18 Bn | 33.34 Bn |
| 6 | Howmet Aerospace | 84.65 Bn | 80.25 Bn | 951.00 Mn | 7.52 Bn |
| 7 | Motorola Solutions | 76.78 Bn | 73.13 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 75.94 Bn | 65.19 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 67.59 Bn | 19.71 Bn | 3.65 Bn | 58.49 Bn |
| 10 | Cpi Aerostructures | 61.06 Mn | 57.77 Mn | 3.87 Mn | 50.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.60 Mn |
| Mar 31, 2026 | 50.03 Mn |
| Dec 31, 2025 | 49.44 Mn |
| Sep 30, 2025 | 49.07 Mn |
| Jun 30, 2025 | 48.48 Mn |
| Mar 31, 2025 | 40.43 Mn |
| Dec 31, 2024 | 42.05 Mn |
| Sep 30, 2024 | 43.95 Mn |
| Jun 30, 2024 | 46.10 Mn |
| Mar 31, 2024 | 48.22 Mn |
| Dec 31, 2023 | 52.28 Mn |
| Sep 30, 2023 | 51.96 Mn |
| Jun 30, 2023 | 53.23 Mn |
| Mar 31, 2023 | 56.78 Mn |
| Dec 31, 2022 | 55.25 Mn |
| Sep 30, 2022 | 57.38 Mn |
| Jun 30, 2022 | 57.79 Mn |
| Mar 31, 2022 | 57.59 Mn |
| Dec 31, 2021 | 60.34 Mn |
| Sep 30, 2021 | 54.64 Mn |
Cpi Aerostructures 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=CVU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CVU", "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=CVU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();