Cpi Aerostructures (CVU) Price to Earnings (2011 - 2026)
Cpi Aerostructures' (CVU) Price to Earnings was 18.42 for Q2 2026, down 38.8% from the prior quarter.
Analysis
Cpi Aerostructures (CVU) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2024, Price to Earnings at Cpi Aerostructures was 15.93, up 686.0% from FY2023.
- By year, Price to Earnings came in at 2.03 in FY2023 (-53.5%), 4.36 in FY2022 (-11.7%) and 4.94 in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Price to Earnings since Q4 2024.
- The high point for year-over-year Price to Earnings in five years was Q4 2024 (growth of 686.0%); the low point was Q1 2022 (a decline of 88.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 295.43 Bn | 253.94 Bn | 5.02 Bn |
| 2 | Rtx | 258.65 Bn | 226.92 Bn | 5.81 Bn |
| 3 | Boeing | 148.98 Bn | 55.67 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 139.53 Bn | 123.76 Bn | 2.44 Bn |
| 5 | General Dynamics | 94.40 Bn | 81.52 Bn | 2.18 Bn |
| 6 | Motorola Solutions | 79.77 Bn | 76.11 Bn | 1.68 Bn |
| 7 | Northrop Grumman | 78.39 Bn | 65.85 Bn | 2.35 Bn |
| 8 | Howmet Aerospace | 74.22 Bn | 69.82 Bn | 951.00 Mn |
| 9 | Honeywell International | 70.30 Bn | 22.42 Bn | 3.65 Bn |
| 10 | Cpi Aerostructures | 61.70 Mn | 58.42 Mn | 3.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.42 |
| Mar 31, 2026 | 30.11 |
| Mar 31, 2025 | 24.98 |
| Dec 31, 2024 | 15.93 |
| Sep 30, 2024 | 2.60 |
| Jun 30, 2024 | 1.92 |
| Mar 31, 2024 | 1.83 |
| Dec 31, 2023 | 2.03 |
| Sep 30, 2023 | 4.60 |
| Jun 30, 2023 | 4.57 |
| Mar 31, 2023 | 4.67 |
| Dec 31, 2022 | 4.36 |
| Sep 30, 2022 | 7.92 |
| Jun 30, 2022 | 3.86 |
| Mar 31, 2022 | 6.58 |
| Dec 31, 2021 | 4.94 |
| Sep 30, 2021 | 4.51 |
| Jun 30, 2021 | 14.92 |
| Mar 31, 2021 | 58.19 |
| Jun 30, 2018 | 220.48 |
API Access
Cpi Aerostructures Price to Earnings 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=price-to-earnings&ticker=CVU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=CVU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();