Ducommun (DCO) Property, Plant & Equipment (Net) (2010 - 2026)
Ducommun's Property, Plant & Equipment (Net) came in at $105.6 million for Q2 2026, down 3.1% from $108.94 million a year earlier and down 0.2% from the prior quarter.
Ducommun (DCO) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Ducommun's Property, Plant & Equipment (Net) was $107.22 million, down 2.4% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $109.81 million in FY2024 (-1.4%), $111.38 million in FY2023 (+4.9%), $106.23 million in FY2022 (+3.7%) and $102.42 million in FY2021 (-6.9%).
- The Q2 2026 figure represents the lowest quarterly Property, Plant & Equipment (Net) since Q2 2022.
- Year-over-year, Property, Plant & Equipment (Net) has declined for nine consecutive quarters, with an average decline of 2.3% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q2 2023 (growth of 5.7%), and the weakest in Q4 2021 (a decline of 6.9%).
- Business Quant data shows DCO's Property, Plant & Equipment (Net) at $105.76 million (Q1 2026), $107.22 million (Q4 2025) and $107.36 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 8.14 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 16.97 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 16.32 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 11.39 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 2.82 Bn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 7.58 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 1.17 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 10.30 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 4.59 Bn |
| 10 | Ducommun | 2.65 Bn | 2.47 Bn | 62.90 Mn | 105.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 105.60 Mn |
| Apr 4, 2026 | 105.76 Mn |
| Dec 31, 2025 | 107.22 Mn |
| Sep 27, 2025 | 107.36 Mn |
| Jun 28, 2025 | 108.94 Mn |
| Mar 29, 2025 | 109.08 Mn |
| Dec 31, 2024 | 109.81 Mn |
| Sep 28, 2024 | 109.65 Mn |
| Jun 29, 2024 | 111.30 Mn |
| Mar 30, 2024 | 112.11 Mn |
| Dec 31, 2023 | 111.38 Mn |
| Sep 30, 2023 | 111.89 Mn |
| Jul 1, 2023 | 111.36 Mn |
| Apr 1, 2023 | 107.04 Mn |
| Dec 31, 2022 | 106.23 Mn |
| Oct 1, 2022 | 105.89 Mn |
| Jul 2, 2022 | 105.36 Mn |
| Apr 2, 2022 | 103.90 Mn |
| Dec 31, 2021 | 102.42 Mn |
| Oct 2, 2021 | 108.97 Mn |
Ducommun Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=DCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=DCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();