Ducommun (DCO) Operating Expenses (2010 - 2026)
Ducommun (DCO) recorded Operating Expenses of $34.57 million in Q2 2026, down 1.9% from $35.25 million a year earlier and down 14.7% from the prior quarter.
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Analysis
Ducommun (DCO) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Ducommun's Operating Expenses came in at $150.11 million as of Jul 4, 2026, down 2.6% year-over-year; for FY2025, it was $146.61 million, up 1.1% from FY2024.
- Annual Operating Expenses has increased for five straight years, with a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $145.05 million in FY2024 (+8.0%), $134.27 million in FY2023 (+28.5%), $104.51 million in FY2022 (+11.7%) and $93.58 million in FY2021 (+1.5%).
- The Q2 2026 figure is the lowest quarterly Operating Expenses since Q1 2024.
- On a year-over-year basis, Operating Expenses rose in four of the last eight quarters, with growth averaging 4.1%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 41.9% in Q3 2023, against a decline of 10.9% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $40.51 million (Q1 2026), $38.18 million (Q4 2025) and $36.85 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 156.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 12.63 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 1.87 Bn |
| 10 | Ducommun | 2.59 Bn | 2.42 Bn | 62.90 Mn | 34.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 34.57 Mn |
| Apr 4, 2026 | 40.51 Mn |
| Dec 31, 2025 | 38.18 Mn |
| Sep 27, 2025 | 36.85 Mn |
| Jun 28, 2025 | 35.25 Mn |
| Mar 29, 2025 | 45.48 Mn |
| Dec 31, 2024 | 36.01 Mn |
| Sep 28, 2024 | 37.41 Mn |
| Jun 29, 2024 | 37.32 Mn |
| Mar 30, 2024 | 34.32 Mn |
| Dec 31, 2023 | 32.77 Mn |
| Sep 30, 2023 | 35.99 Mn |
| Jul 1, 2023 | 35.12 Mn |
| Apr 1, 2023 | 30.40 Mn |
| Dec 31, 2022 | 28.90 Mn |
| Oct 1, 2022 | 25.37 Mn |
| Jul 2, 2022 | 26.89 Mn |
| Apr 2, 2022 | 23.35 Mn |
| Dec 31, 2021 | 25.45 Mn |
| Oct 2, 2021 | 21.95 Mn |
API Access
Ducommun Operating Expenses 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=operating-expenses&ticker=DCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=DCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();