Ducommun (DCO) Total Liabilities (2010 - 2026)
Ducommun (DCO) reported Total Liabilities of $534.12 million for Q2 2026, up 23.3% from $433.33 million a year earlier and up 3.6% from the prior quarter.
Ducommun (DCO) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Ducommun posted Total Liabilities of $524.93 million, up 17.7% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- By year, Total Liabilities came in at $445.98 million in FY2024 (-8.0%), $484.83 million in FY2023 (-2.2%), $495.55 million in FY2022 (-1.7%) and $504.13 million in FY2021 (-0.8%).
- Five-year quarterly Total Liabilities spans a low of $433.33 million in Q2 2025 and a high of $599.53 million in Q3 2025.
- Year over year, Total Liabilities has now increased in each of the last four quarters, with growth averaging 6.6% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q3 2025 (growth of 29.1%); the low point was Q1 2025 (a decline of 10.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $515.54 million (Q1 2026), $524.93 million (Q4 2025) and $599.53 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 53.68 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 7.52 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 33.34 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 58.49 Bn |
| 10 | Ducommun | 2.59 Bn | 2.42 Bn | 62.90 Mn | 534.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 534.12 Mn |
| Apr 4, 2026 | 515.54 Mn |
| Dec 31, 2025 | 524.93 Mn |
| Sep 27, 2025 | 599.53 Mn |
| Jun 28, 2025 | 433.33 Mn |
| Mar 29, 2025 | 436.28 Mn |
| Dec 31, 2024 | 445.98 Mn |
| Sep 28, 2024 | 464.35 Mn |
| Jun 29, 2024 | 475.60 Mn |
| Mar 30, 2024 | 486.51 Mn |
| Dec 31, 2023 | 484.83 Mn |
| Sep 30, 2023 | 506.95 Mn |
| Jul 1, 2023 | 496.61 Mn |
| Apr 1, 2023 | 477.69 Mn |
| Dec 31, 2022 | 495.55 Mn |
| Oct 1, 2022 | 480.72 Mn |
| Jul 2, 2022 | 482.50 Mn |
| Apr 2, 2022 | 471.63 Mn |
| Dec 31, 2021 | 504.13 Mn |
| Oct 2, 2021 | 478.84 Mn |
Ducommun Total Liabilities 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=total-liabilities&ticker=DCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=DCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();