Cpi Aerostructures (CVU) Operating Expenses (2011 - 2026)
Cpi Aerostructures (CVU) posted Operating Expenses of $2.68 million for Q2 2026, up 0.8% from $2.65 million a year earlier and up 1.0% from the prior quarter.
Cpi Aerostructures (CVU) Operating Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Cpi Aerostructures was $10.57 million, up 0.6% year-over-year; for FY2025, it came in at $10.73 million, up 2.2% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -2.3% (FY2020 to FY2025).
- In prior years, Cpi Aerostructures' Operating Expenses was $10.51 million in FY2024 (-2.3%), $10.76 million in FY2023 (-5.7%), $11.41 million in FY2022 (-3.5%) and $11.82 million in FY2021 (-1.8%).
- Quarterly Operating Expenses has run from a low of $2.27 million in Q4 2024 to a high of $3.14 million in Q1 2022 over five years.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with growth averaging 0.4%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2025, with growth of 18.3%; the weakest was Q4 2024, with a decline of 10.7%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $2.65 million (Q1 2026), $2.69 million (Q4 2025) and $2.55 million (Q3 2025).
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 | Cpi Aerostructures | 66.80 Mn | 63.52 Mn | 3.87 Mn | 2.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.68 Mn |
| Mar 31, 2026 | 2.65 Mn |
| Dec 31, 2025 | 2.69 Mn |
| Sep 30, 2025 | 2.55 Mn |
| Jun 30, 2025 | 2.65 Mn |
| Mar 31, 2025 | 2.84 Mn |
| Dec 31, 2024 | 2.27 Mn |
| Sep 30, 2024 | 2.74 Mn |
| Jun 30, 2024 | 2.78 Mn |
| Mar 31, 2024 | 2.71 Mn |
| Dec 31, 2023 | 2.55 Mn |
| Sep 30, 2023 | 2.54 Mn |
| Jun 30, 2023 | 2.81 Mn |
| Mar 31, 2023 | 2.87 Mn |
| Dec 31, 2022 | 2.83 Mn |
| Sep 30, 2022 | 2.74 Mn |
| Jun 30, 2022 | 2.70 Mn |
| Mar 31, 2022 | 3.14 Mn |
| Dec 31, 2021 | 2.99 Mn |
| Sep 30, 2021 | 2.77 Mn |
Cpi Aerostructures 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=CVU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CVU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();