Ducommun (DCO) Selling, General & Administrative (2010 - 2026)
Ducommun (DCO) recorded Selling, General & Administrative of $34.57 million in Q2 2026, down 0.2% from $34.64 million a year earlier and down 14.7% from the prior quarter.
Ducommun (DCO) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a TTM basis, Ducommun's Selling, General & Administrative came in at $148.91 million as of Jul 4, 2026, down 0.3% year-over-year; for FY2025, it came in at $144.38 million, up 4.2% from FY2024.
- Annual Selling, General & Administrative has increased for five straight years, with a five-year compound annual growth rate of 10.0% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $138.61 million in FY2024 (+15.8%), $119.73 million in FY2023 (+21.7%), $98.35 million in FY2022 (+5.1%) and $93.58 million in FY2021 (+4.2%).
- The Q2 2026 figure is the lowest quarterly Selling, General & Administrative since Q4 2024.
- On a year-over-year basis, Selling, General & Administrative rose in five of the last eight quarters, with growth averaging 6.9%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 36.7% in Q1 2025, against a decline of 10.1% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $40.51 million (Q1 2026), $37.56 million (Q4 2025) and $36.27 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.20 Bn | 278.20 Bn | 4.68 Bn | 1.13 Bn |
| 2 | Rtx | 249.38 Bn | 222.59 Bn | 5.13 Bn | 1.66 Bn |
| 3 | Boeing | 152.06 Bn | 58.76 Bn | 2.41 Bn | 1.43 Bn |
| 4 | Lockheed Martin | 116.66 Bn | 103.39 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 91.36 Bn | 86.97 Bn | 951.00 Mn | 148.00 Mn |
| 6 | General Dynamics | 90.03 Bn | 77.14 Bn | 2.18 Bn | 723.00 Mn |
| 7 | Motorola Solutions | 74.17 Bn | 70.53 Bn | 1.68 Bn | 496.00 Mn |
| 8 | Northrop Grumman | 68.46 Bn | 57.71 Bn | 2.12 Bn | 1.03 Bn |
| 9 | Honeywell International | 67.76 Bn | 20.21 Bn | 3.65 Bn | 1.34 Bn |
| 10 | Ducommun | 2.60 Bn | 2.42 Bn | 62.90 Mn | 34.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 34.57 Mn |
| Apr 4, 2026 | 40.51 Mn |
| Dec 31, 2025 | 37.56 Mn |
| Sep 27, 2025 | 36.27 Mn |
| Jun 28, 2025 | 34.64 Mn |
| Mar 29, 2025 | 45.05 Mn |
| Dec 31, 2024 | 34.11 Mn |
| Sep 28, 2024 | 35.49 Mn |
| Jun 29, 2024 | 36.06 Mn |
| Mar 30, 2024 | 32.95 Mn |
| Dec 31, 2023 | 30.97 Mn |
| Sep 30, 2023 | 32.18 Mn |
| Jul 1, 2023 | 30.35 Mn |
| Apr 1, 2023 | 26.23 Mn |
| Dec 31, 2022 | 26.01 Mn |
| Oct 1, 2022 | 24.80 Mn |
| Jul 2, 2022 | 24.19 Mn |
| Apr 2, 2022 | 23.35 Mn |
| Dec 31, 2021 | 25.45 Mn |
| Oct 2, 2021 | 21.95 Mn |
Ducommun Selling, General & Administrative 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=selling-general-and-administrative&ticker=DCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=DCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();