General Dynamics (GD) Operating Expenses (2009 - 2026)
General Dynamics (GD) recorded Operating Expenses of $12.63 billion in Q2 2026, up 7.7% from $11.74 billion a year earlier and up 4.8% from the prior quarter.
General Dynamics (GD) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, General Dynamics' Operating Expenses came in at $49.2 billion as of Jul 5, 2026, up 9.1% year-over-year; for FY2025, it was $47.19 billion, up 10.0% from FY2024.
- Annual Operating Expenses has increased for five straight years, with a five-year compound annual growth rate of 6.9% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $42.92 billion in FY2024 (+12.9%), $38.03 billion in FY2023 (+8.0%), $35.2 billion in FY2022 (+2.6%) and $34.31 billion in FY2021 (+1.5%).
- Quarterly Operating Expenses has ranged from $8.21 billion in Q2 2022 to $12.93 billion in Q4 2025 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for 16 consecutive quarters, with growth averaging 10.4% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 17.7% in Q2 2024, against a decline of 0.9% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $12.06 billion (Q1 2026), $12.93 billion (Q4 2025) and $11.58 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 317.62 Bn | 271.39 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 259.56 Bn | 231.04 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 151.62 Bn | 58.31 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 126.52 Bn | 113.25 Bn | 2.45 Bn | - |
| 5 | General Dynamics | 93.24 Bn | 80.36 Bn | 2.18 Bn | 12.63 Bn |
| 6 | Howmet Aerospace | 85.01 Bn | 80.61 Bn | 951.00 Mn | 156.00 Mn |
| 7 | Motorola Solutions | 77.56 Bn | 73.91 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 77.16 Bn | 66.41 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 67.82 Bn | 19.94 Bn | 3.65 Bn | 1.87 Bn |
| 10 | TransDigm | 65.74 Bn | 53.75 Bn | 1.63 Bn | 332.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 12.63 Bn |
| Apr 5, 2026 | 12.06 Bn |
| Dec 31, 2025 | 12.93 Bn |
| Sep 28, 2025 | 11.58 Bn |
| Jun 29, 2025 | 11.74 Bn |
| Mar 30, 2025 | 10.96 Bn |
| Dec 31, 2024 | 11.92 Bn |
| Sep 29, 2024 | 10.49 Bn |
| Jun 30, 2024 | 10.82 Bn |
| Mar 31, 2024 | 9.70 Bn |
| Dec 31, 2023 | 10.38 Bn |
| Oct 1, 2023 | 9.51 Bn |
| Jul 2, 2023 | 9.19 Bn |
| Apr 2, 2023 | 8.94 Bn |
| Dec 31, 2022 | 9.62 Bn |
| Oct 2, 2022 | 8.88 Bn |
| Jul 3, 2022 | 8.21 Bn |
| Apr 3, 2022 | 8.48 Bn |
| Dec 31, 2021 | 9.11 Bn |
| Oct 3, 2021 | 8.49 Bn |
General Dynamics 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=operating-expenses&ticker=GD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=GD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();