Cpi Aerostructures (CVU) Return on Sales [ROS] (2011 - 2026)
Cpi Aerostructures (CVU) reported Return on Sales [ROS] of 6.80% for Q2 2026, up 19.92 percentage points from -13.11% a year earlier but down 3.74 percentage points from the prior quarter.
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Analysis
Cpi Aerostructures (CVU) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Cpi Aerostructures' Return on Sales [ROS] came in at 8.18%, up 7.66 percentage points year-over-year; for FY2025, it came in at -0.25%, down 8.56 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +2.36 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 8.30% in FY2024 (+1.01 pp), 7.29% in FY2023 (+1.42 pp), 5.87% in FY2022 (+2.80 pp) and 3.08% in FY2021 (+5.69 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -13.11% in Q2 2025 and a high of 12.79% in Q3 2022.
- Year over year, Return on Sales [ROS] gained in five of the last eight quarters, with an average year-over-year change of +0.61 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2026 (a gain of 19.92 percentage points); the low point was Q2 2025 (a drop of 24.36 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 10.54% (Q1 2026), 6.42% (Q4 2025) and 9.11% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | -46.33% |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 11.38% |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 0.64% |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 12.36% |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 27.92% |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 10.36% |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 25.82% |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 10.08% |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 18.37% |
| 10 | Cpi Aerostructures | 67.86 Mn | 64.57 Mn | 3.87 Mn | 6.80% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.80% |
| Mar 31, 2026 | 10.54% |
| Dec 31, 2025 | 6.42% |
| Sep 30, 2025 | 9.11% |
| Jun 30, 2025 | -13.11% |
| Mar 31, 2025 | -7.70% |
| Dec 31, 2024 | 9.53% |
| Sep 30, 2024 | 7.61% |
| Jun 30, 2024 | 11.24% |
| Mar 31, 2024 | 4.40% |
| Dec 31, 2023 | 6.57% |
| Sep 30, 2023 | 5.74% |
| Jun 30, 2023 | 8.75% |
| Mar 31, 2023 | 8.15% |
| Dec 31, 2022 | 4.37% |
| Sep 30, 2022 | 12.79% |
| Jun 30, 2022 | 5.08% |
| Mar 31, 2022 | 1.47% |
| Dec 31, 2021 | -0.58% |
| Sep 30, 2021 | 3.71% |
API Access
Cpi Aerostructures Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=CVU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=CVU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();