Ducommun (DCO) Cash & Equivalents (2010 - 2026)
Ducommun's Cash & Equivalents came in at $39.8 million for Q2 2026, up 7.2% from $37.12 million a year earlier and up 1.8% from the prior quarter.
Analysis
Ducommun (DCO) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Ducommun's Cash & Equivalents was $45.29 million, up 21.9% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -4.3% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $37.14 million in FY2024 (-13.4%), $42.86 million in FY2023 (-7.3%), $46.25 million in FY2022 (-39.4%) and $76.32 million in FY2021 (+35.2%).
- The five-year range for quarterly Cash & Equivalents is $8.97 million (Q3 2021) to $76.32 million (Q4 2021).
- Year-over-year, Cash & Equivalents has increased for five consecutive quarters, with growth averaging 17.4% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q2 2022 (growth of 212.6%), and the weakest in Q3 2021 (a decline of 88.0%).
- Business Quant data shows DCO's Cash & Equivalents at $39.1 million (Q1 2026), $45.29 million (Q4 2025) and $50.92 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.20 Bn | 278.20 Bn | 4.68 Bn | 9.35 Bn |
| 2 | Rtx | 249.38 Bn | 222.59 Bn | 5.13 Bn | 8.31 Bn |
| 3 | Boeing | 152.06 Bn | 58.76 Bn | 2.41 Bn | 7.24 Bn |
| 4 | Lockheed Martin | 116.66 Bn | 103.39 Bn | 2.45 Bn | 3.79 Bn |
| 5 | Howmet Aerospace | 91.36 Bn | 86.97 Bn | 951.00 Mn | 563.00 Mn |
| 6 | General Dynamics | 90.03 Bn | 77.14 Bn | 2.18 Bn | 4.33 Bn |
| 7 | Motorola Solutions | 74.17 Bn | 70.53 Bn | 1.68 Bn | 710.00 Mn |
| 8 | Northrop Grumman | 68.46 Bn | 57.71 Bn | 2.12 Bn | 2.31 Bn |
| 9 | Honeywell International | 67.76 Bn | 20.21 Bn | 3.65 Bn | 8.75 Bn |
| 10 | Ducommun | 2.60 Bn | 2.42 Bn | 62.90 Mn | 39.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 39.80 Mn |
| Apr 4, 2026 | 39.10 Mn |
| Dec 31, 2025 | 45.29 Mn |
| Sep 27, 2025 | 50.92 Mn |
| Jun 28, 2025 | 37.12 Mn |
| Mar 29, 2025 | 30.73 Mn |
| Dec 31, 2024 | 37.14 Mn |
| Sep 28, 2024 | 37.27 Mn |
| Jun 29, 2024 | 29.41 Mn |
| Mar 30, 2024 | 32.07 Mn |
| Dec 31, 2023 | 42.86 Mn |
| Sep 30, 2023 | 27.20 Mn |
| Jul 1, 2023 | 22.81 Mn |
| Apr 1, 2023 | 17.12 Mn |
| Dec 31, 2022 | 46.25 Mn |
| Oct 1, 2022 | 21.25 Mn |
| Jul 2, 2022 | 37.52 Mn |
| Apr 2, 2022 | 19.26 Mn |
| Dec 31, 2021 | 76.32 Mn |
| Oct 2, 2021 | 8.97 Mn |
API Access
Ducommun Cash & Equivalents 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=cash-and-equivalents&ticker=DCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();