General Dynamics (GD) Other Operating Expenses (2009 - 2026)
General Dynamics' Other Operating Expenses was $11.91 billion in Q2 2026, up 7.4% from $11.09 billion a year earlier and up 5.1% from the prior quarter.
General Dynamics (GD) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, General Dynamics' Other Operating Expenses was $46.43 billion through Jul 5, 2026, up 9.2% year-over-year; for FY2025, it came in at $44.6 billion, up 10.5% from FY2024.
- Other Operating Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $40.35 billion in FY2024 (+13.3%), $35.6 billion in FY2023 (+8.6%), $32.79 billion in FY2022 (+2.3%) and $32.06 billion in FY2021 (+1.5%).
- Quarterly Other Operating Expenses has moved between $7.6 billion (Q2 2022) and $12.24 billion (Q4 2025) over five years.
- Compared with a year earlier, Other Operating Expenses has increased for 16 straight quarters, with growth averaging 10.7% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was Q2 2024 (growth of 18.5%); the worst was Q2 2022 (a decline of 1.4%).
- Per Business Quant data, GD's Other Operating Expenses in the three quarters before Q2 2026 was $11.34 billion (Q1 2026), $12.24 billion (Q4 2025) and $10.94 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | TransDigm | 59.83 Bn | 47.91 Bn | 1.63 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 11.91 Bn |
| Apr 5, 2026 | 11.34 Bn |
| Dec 31, 2025 | 12.24 Bn |
| Sep 28, 2025 | 10.94 Bn |
| Jun 29, 2025 | 11.09 Bn |
| Mar 30, 2025 | 10.33 Bn |
| Dec 31, 2024 | 11.25 Bn |
| Sep 29, 2024 | 9.86 Bn |
| Jun 30, 2024 | 10.18 Bn |
| Mar 31, 2024 | 9.07 Bn |
| Dec 31, 2023 | 9.75 Bn |
| Oct 1, 2023 | 8.91 Bn |
| Jul 2, 2023 | 8.59 Bn |
| Apr 2, 2023 | 8.36 Bn |
| Dec 31, 2022 | 9.02 Bn |
| Oct 2, 2022 | 8.31 Bn |
| Jul 3, 2022 | 7.60 Bn |
| Apr 3, 2022 | 7.86 Bn |
| Dec 31, 2021 | 8.53 Bn |
| Oct 3, 2021 | 7.94 Bn |
General Dynamics Other Operating Expenses 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=other-operating-expenses&ticker=GD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "GD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=GD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();