General Electric (GE) Other Operating Expenses (2009 - 2026)
General Electric's Other Operating Expenses was $9.24 billion in Q2 2026, up 23.0% from $7.51 billion a year earlier and up 7.4% from the prior quarter.
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Analysis
General Electric (GE) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, General Electric's Other Operating Expenses was $35.09 billion through Jun 30, 2026, up 22.5% year-over-year; for FY2025, it came in at $31.47 billion, up 16.0% from FY2024.
- Other Operating Expenses has now increased for three consecutive years, with a five-year compound annual growth rate of 187.9% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $27.13 billion in FY2024 (+4.8%), $25.88 billion in FY2023 (+11.0%), $23.32 billion in FY2022 and $136 million in FY2021 (-14.5%).
- The Q2 2026 figure marks the highest quarterly Other Operating Expenses since Q1 2023.
- Compared with a year earlier, Other Operating Expenses has increased for eight straight quarters, with growth averaging 15.5% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was Q1 2026 (growth of 28.2%); the worst was Q3 2023 (a decline of 45.4%).
- Per Business Quant data, GE's Other Operating Expenses in the three quarters before Q2 2026 was $8.6 billion (Q1 2026), $8.97 billion (Q4 2025) and $8.29 billion (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.24 Bn |
| Mar 31, 2026 | 8.60 Bn |
| Dec 31, 2025 | 8.97 Bn |
| Sep 30, 2025 | 8.29 Bn |
| Jun 30, 2025 | 7.51 Bn |
| Mar 31, 2025 | 6.71 Bn |
| Dec 31, 2024 | 7.19 Bn |
| Sep 30, 2024 | 7.24 Bn |
| Jun 30, 2024 | 6.29 Bn |
| Mar 31, 2024 | 6.42 Bn |
| Dec 31, 2023 | 7.03 Bn |
| Sep 30, 2023 | 6.73 Bn |
| Jun 30, 2023 | 6.43 Bn |
| Mar 31, 2023 | 11.30 Bn |
| Dec 31, 2022 | -11.13 Bn |
| Sep 30, 2022 | 12.32 Bn |
| Jun 30, 2022 | 11.46 Bn |
| Mar 31, 2022 | 10.68 Bn |
| Dec 31, 2021 | 45.00 Mn |
| Sep 30, 2021 | 28.00 Mn |
API Access
General Electric 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=GE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "GE", "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=GE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();