Ducommun (DCO) Cost of Revenue (2010 - 2026)
Ducommun (DCO) reported Cost of Revenue of $161.59 million for Q2 2026, up 9.3% from $147.83 million a year earlier and up 5.8% from the prior quarter.
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Analysis
Ducommun (DCO) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 4, 2026, Ducommun's Cost of Revenue came in at $626.46 million, up 6.3% year-over-year; for FY2025, it came in at $603.12 million, up 2.3% from FY2024.
- Cost of Revenue has a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $589.29 million in FY2024 (-0.8%), $593.81 million in FY2023 (+4.5%), $568.24 million in FY2022 (+13.0%) and $502.95 million in FY2021 (+2.4%).
- The Q2 2026 figure ranks as the highest quarterly Cost of Revenue since Q4 2013.
- Year over year, Cost of Revenue has now increased in each of the last five quarters, with growth averaging 3.0% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was Q4 2022 (growth of 17.3%); the low point was Q3 2024 (a decline of 1.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $152.79 million (Q1 2026), $155.99 million (Q4 2025) and $156.08 million (Q3 2025).
Peer Set
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 | Ducommun | 2.65 Bn | 2.47 Bn | 62.90 Mn | 161.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 161.59 Mn |
| Apr 4, 2026 | 152.79 Mn |
| Dec 31, 2025 | 155.99 Mn |
| Sep 27, 2025 | 156.08 Mn |
| Jun 28, 2025 | 147.83 Mn |
| Mar 29, 2025 | 142.03 Mn |
| Dec 31, 2024 | 150.89 Mn |
| Sep 28, 2024 | 148.74 Mn |
| Jun 29, 2024 | 145.76 Mn |
| Mar 30, 2024 | 143.90 Mn |
| Dec 31, 2023 | 150.54 Mn |
| Sep 30, 2023 | 151.65 Mn |
| Jul 1, 2023 | 147.20 Mn |
| Apr 1, 2023 | 144.42 Mn |
| Dec 31, 2022 | 149.68 Mn |
| Oct 1, 2022 | 148.00 Mn |
| Jul 2, 2022 | 139.56 Mn |
| Apr 2, 2022 | 131.01 Mn |
| Dec 31, 2021 | 127.58 Mn |
| Oct 2, 2021 | 127.91 Mn |
API Access
Ducommun 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=DCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=DCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();