Cpi Aerostructures (CVU) Cost of Revenue (2011 - 2026)
Cpi Aerostructures (CVU) recorded Cost of Revenue of $13.71 million in Q2 2026, down 5.6% from $14.52 million a year earlier but up 6.4% from the prior quarter.
Cpi Aerostructures (CVU) Cost of Revenue (2011 - 2026) Analysis & Trends
On a TTM basis, Cpi Aerostructures' Cost of Revenue came in at $57.03 million as of Jun 30, 2026, down 6.3% year-over-year; for FY2025, it was $58.71 million, down 8.0% from FY2024.
- Annual Cost of Revenue has a five-year compound annual growth rate of -5.5% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $63.84 million in FY2024 (-8.0%), $69.4 million in FY2023 (+3.5%), $67.03 million in FY2022 (-24.1%) and $88.36 million in FY2021 (+13.5%).
- Quarterly Cost of Revenue has ranged from $12.88 million in Q1 2026 to $23.51 million in Q4 2021 over the past five years.
- On a year-over-year basis, Cost of Revenue has declined for 11 consecutive quarters, with an average decline of 7.8% over the last eight quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 12.3% in Q3 2023, against a decline of 35.5% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $12.88 million (Q1 2026), $15.48 million (Q4 2025) and $14.96 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 8.67 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 19.58 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 22.15 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 17.62 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 1.60 Bn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 11.91 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 1.46 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 8.76 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 6.07 Bn |
| 10 | Cpi Aerostructures | 67.86 Mn | 64.57 Mn | 3.87 Mn | 13.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.71 Mn |
| Mar 31, 2026 | 12.88 Mn |
| Dec 31, 2025 | 15.48 Mn |
| Sep 30, 2025 | 14.96 Mn |
| Jun 30, 2025 | 14.52 Mn |
| Mar 31, 2025 | 13.75 Mn |
| Dec 31, 2024 | 17.42 Mn |
| Sep 30, 2024 | 15.20 Mn |
| Jun 30, 2024 | 15.69 Mn |
| Mar 31, 2024 | 15.53 Mn |
| Dec 31, 2023 | 19.41 Mn |
| Sep 30, 2023 | 16.69 Mn |
| Jun 30, 2023 | 15.94 Mn |
| Mar 31, 2023 | 17.35 Mn |
| Dec 31, 2022 | 20.20 Mn |
| Sep 30, 2022 | 14.87 Mn |
| Jun 30, 2022 | 15.27 Mn |
| Mar 31, 2022 | 16.70 Mn |
| Dec 31, 2021 | 23.51 Mn |
| Sep 30, 2021 | 20.25 Mn |
Cpi Aerostructures Cost of Revenue 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=cost-of-revenue&ticker=CVU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=CVU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();