Ducommun (DCO) Shares Outstanding (Diluted) (2010 - 2026)
Ducommun's Shares Outstanding (Diluted) came in at 15.56 million for Q2 2026, up 2.2% from 15.22 million a year earlier but down 0.3% from the prior quarter.
Ducommun (DCO) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Ducommun's Shares Outstanding (Diluted) was 14.94 million, down 0.5% from FY2024.
- Shares Outstanding (Diluted) carries a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 15.01 million in FY2024 (+7.5%), 13.97 million in FY2023 (+13.0%), 12.37 million in FY2022 (+0.9%) and 12.25 million in FY2021 (+2.7%).
- The five-year range for quarterly Shares Outstanding (Diluted) is 12.24 million (Q3 2021) to 15.6 million (Q1 2026).
- Year-over-year, Shares Outstanding (Diluted) increased in six of the last eight quarters, with growth averaging 2.1%.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q3 2023 (growth of 20.0%), and the weakest in Q4 2025 (a decline of 0.5%).
- Business Quant data shows DCO's Shares Outstanding (Diluted) at 15.6 million (Q1 2026), 14.94 million (Q4 2025) and 14.98 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 1.05 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 1.37 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 790.80 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 231.10 Mn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 402.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 273.52 Mn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 167.20 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 142.40 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 318.60 Mn |
| 10 | Ducommun | 2.59 Bn | 2.42 Bn | 62.90 Mn | 15.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 15.56 Mn |
| Apr 4, 2026 | 15.60 Mn |
| Dec 31, 2025 | 14.94 Mn |
| Sep 27, 2025 | 14.98 Mn |
| Jun 28, 2025 | 15.22 Mn |
| Mar 29, 2025 | 15.18 Mn |
| Dec 31, 2024 | 15.01 Mn |
| Sep 28, 2024 | 15.04 Mn |
| Jun 29, 2024 | 14.96 Mn |
| Mar 30, 2024 | 14.94 Mn |
| Dec 31, 2023 | 13.97 Mn |
| Sep 30, 2023 | 14.81 Mn |
| Jul 1, 2023 | 13.60 Mn |
| Apr 1, 2023 | 12.54 Mn |
| Dec 31, 2022 | 12.37 Mn |
| Oct 1, 2022 | 12.35 Mn |
| Jul 2, 2022 | 12.33 Mn |
| Apr 2, 2022 | 12.33 Mn |
| Dec 31, 2021 | 12.25 Mn |
| Oct 2, 2021 | 12.24 Mn |
Ducommun Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=DCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=DCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();