Cpi Aerostructures (CVU) Selling, General & Administrative (2011 - 2026)
Cpi Aerostructures (CVU) reported Selling, General & Administrative 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) Selling, General & Administrative (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Cpi Aerostructures' Selling, General & Administrative came in at $10.57 million, up 0.6% year-over-year; for FY2025, it was $10.73 million, up 2.2% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of -2.3% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $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%).
- Five-year quarterly Selling, General & Administrative spans a low of $2.27 million in Q4 2024 and a high of $3.14 million in Q1 2022.
- Year over year, Selling, General & Administrative gained in four of the last eight quarters, with growth averaging 0.4%.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2025 (growth of 18.3%); the low point was Q4 2024 (a decline of 10.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $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) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 1.13 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 1.66 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 1.43 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 148.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 723.00 Mn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 496.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 1.03 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 1.34 Bn |
| 10 | Cpi Aerostructures | 67.86 Mn | 64.57 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 Selling, General & Administrative 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=selling-general-and-administrative&ticker=CVU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=CVU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();