General Electric (GE) Non Operating Income (2009 - 2026)
General Electric's Non Operating Income came in at $432 million for Q3 2026, up 51.6% from $285 million a year earlier and up 38.0% from the prior quarter.
General Electric (GE) Non Operating Income (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, General Electric reported Non Operating Income of $1.33 billion, up 12.4% year-over-year; for FY2025, it was $1.49 billion, down 34.3% from FY2024.
- Non Operating Income carries a five-year compound annual growth rate of -33.5% (FY2020 to FY2025).
- Going back by year, Non Operating Income was $2.26 billion in FY2024 (-66.3%), $6.72 billion in FY2023 (+728.4%), $811 million in FY2022 (-69.9%) and $2.7 billion in FY2021 (-76.3%).
- The five-year range for quarterly Non Operating Income is -$1.23 billion (Q2 2022) to $6.08 billion (Q1 2023).
- Year-over-year, Non Operating Income increased in three of the last six quarters, with an average decline of 8.8%.
- The fastest year-over-year change in Non Operating Income over five years came in Q4 2025 (growth of 101.3%), and the weakest in Q1 2022 (a decline of 92.7%).
- Business Quant data shows GE's Non Operating Income at $313 million (Q2 2026), -$16 million (Q1 2026) and $602 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Op. Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 303.30 Bn | 262.05 Bn | 5.02 Bn | 432.00 Mn |
| 2 | Rtx | 262.79 Bn | 232.77 Bn | 5.81 Bn | -36.00 Mn |
| 3 | Boeing | 148.22 Bn | 54.92 Bn | 2.41 Bn | - |
| 4 | Lockheed Martin | 136.34 Bn | 120.57 Bn | 2.44 Bn | - |
| 5 | General Dynamics | 94.90 Bn | 82.01 Bn | 2.18 Bn | - |
| 6 | Motorola Solutions | 79.08 Bn | 75.44 Bn | 1.68 Bn | -67.00 Mn |
| 7 | Northrop Grumman | 78.49 Bn | 65.95 Bn | 2.35 Bn | - |
| 8 | Howmet Aerospace | 77.28 Bn | 72.89 Bn | 951.00 Mn | -11.00 Mn |
| 9 | Honeywell International | 69.19 Bn | 21.64 Bn | 3.65 Bn | - |
| 10 | TransDigm | 63.12 Bn | 51.21 Bn | 1.63 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 432.00 Mn |
| Jun 30, 2026 | 313.00 Mn |
| Mar 31, 2026 | -16.00 Mn |
| Dec 31, 2025 | 602.00 Mn |
| Sep 30, 2025 | 285.00 Mn |
| Jun 30, 2025 | 298.00 Mn |
| Mar 31, 2025 | 302.00 Mn |
| Dec 31, 2024 | 299.00 Mn |
| Sep 30, 2024 | 1.02 Bn |
| Jun 30, 2024 | -63.00 Mn |
| Mar 31, 2024 | 1.01 Bn |
| Dec 31, 2023 | 963.00 Mn |
| Sep 30, 2023 | -845.00 Mn |
| Jun 30, 2023 | 496.00 Mn |
| Mar 31, 2023 | 6.08 Bn |
| Dec 31, 2022 | 1.81 Bn |
| Sep 30, 2022 | 178.00 Mn |
| Jun 30, 2022 | -1.23 Bn |
| Mar 31, 2022 | 49.00 Mn |
| Dec 31, 2021 | 939.00 Mn |
General Electric Non Operating Income 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=non-operating-income&ticker=GE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-income", "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=non-operating-income&ticker=GE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();