Ducommun (DCO) EBITDA (2010 - 2026)
Ducommun's EBITDA was $36.89 million in Q2 2026, up 41.9% from $26 million a year earlier and up 54.0% from the prior quarter.
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Analysis
Ducommun (DCO) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ducommun's EBITDA was $11.59 million through Jul 4, 2026, down 85.9% year-over-year; for FY2025, it was $1.35 million, down 98.4% from FY2024.
- EBITDA shows a five-year compound annual growth rate of -55.1% (FY2020 to FY2025).
- In earlier years, EBITDA was $85.65 million in FY2024 (+39.3%), $61.49 million in FY2023 (-13.7%), $71.21 million in FY2022 (-7.8%) and $77.27 million in FY2021 (+3.9%).
- The Q2 2026 figure marks the highest quarterly EBITDA in data going back to Q3 2010.
- Compared with a year earlier, EBITDA has increased for three straight quarters, with growth averaging 24.2% over the last seven quarters.
- The best year-over-year quarter for EBITDA over five years was Q1 2026 (growth of 76.7%); the worst was Q1 2025 (a decline of 35.4%).
- Per Business Quant data, DCO's EBITDA in the three quarters before Q2 2026 was $23.96 million (Q1 2026), $22.46 million (Q4 2025) and -$71.71 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 303.54 Bn | 262.06 Bn | 5.02 Bn | -6.39 Bn |
| 2 | Rtx | 262.72 Bn | 230.99 Bn | 5.81 Bn | 4.41 Bn |
| 3 | Boeing | 148.13 Bn | 54.82 Bn | 2.41 Bn | 752.00 Mn |
| 4 | Lockheed Martin | 135.78 Bn | 122.50 Bn | 2.45 Bn | 2.88 Bn |
| 5 | General Dynamics | 94.57 Bn | 81.69 Bn | 2.18 Bn | 1.68 Bn |
| 6 | Motorola Solutions | 79.37 Bn | 75.71 Bn | 1.68 Bn | 957.00 Mn |
| 7 | Northrop Grumman | 78.67 Bn | 66.13 Bn | 2.35 Bn | 1.65 Bn |
| 8 | Howmet Aerospace | 77.61 Bn | 73.21 Bn | 951.00 Mn | 795.00 Mn |
| 9 | Honeywell International | 69.07 Bn | 21.20 Bn | 3.65 Bn | 2.10 Bn |
| 10 | Ducommun | 2.43 Bn | 2.26 Bn | 62.90 Mn | 38.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 38.92 Mn |
| Apr 4, 2026 | 26.23 Mn |
| Dec 31, 2025 | 24.16 Mn |
| Sep 27, 2025 | -69.48 Mn |
| Jun 28, 2025 | 28.21 Mn |
| Mar 29, 2025 | 15.75 Mn |
| Dec 31, 2024 | 20.89 Mn |
| Sep 28, 2024 | 25.96 Mn |
| Jun 29, 2024 | 24.26 Mn |
| Mar 30, 2024 | 23.05 Mn |
| Dec 31, 2023 | 19.31 Mn |
| Sep 30, 2023 | 20.12 Mn |
| Jul 1, 2023 | 13.95 Mn |
| Apr 1, 2023 | 16.33 Mn |
| Dec 31, 2022 | 19.86 Mn |
| Oct 1, 2022 | 22.49 Mn |
| Jul 2, 2022 | 17.39 Mn |
| Apr 2, 2022 | 18.73 Mn |
| Dec 31, 2021 | 19.86 Mn |
| Oct 2, 2021 | 21.59 Mn |
API Access
Ducommun EBITDA 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=ebitda&ticker=DCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "DCO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=DCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();