General Electric (GE) Change in Other Operating Assets (2017 - 2026)
General Electric (GE) posted Change in Other Operating Assets of $54 million for Q3 2026, up 5.9% from $51 million a year earlier and up 50.0% from the prior quarter.
General Electric (GE) Change in Other Operating Assets (2017 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Change in Other Operating Assets at General Electric was $417 million, up 88.7% year-over-year; for FY2025, it came in at $511 million, up 356.3% from FY2024.
- In prior years, General Electric's Change in Other Operating Assets was $112 million in FY2024 (+314.8%), $27 million in FY2023, -$36 million in FY2022 and -$1.01 billion in FY2021.
- Quarterly Change in Other Operating Assets has run from a low of -$534 million in Q3 2022 to a high of $898 million in Q4 2022 over five years.
- On a year-over-year basis, Change in Other Operating Assets increased in three of the last five quarters, with growth averaging 90.0%.
- The strongest year-over-year quarter for Change in Other Operating Assets in the past five years was Q4 2024, with growth of 303.8%; the weakest was Q2 2024, with a decline of 97.8%.
- According to Business Quant data, Change in Other Operating Assets for the three prior quarters was $36 million (Q2 2026), -$68 million (Q1 2026) and $395 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Assets Change (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 325.23 Bn | 283.97 Bn | 5.02 Bn | 54.00 Mn |
| 2 | Rtx | 259.01 Bn | 228.99 Bn | 5.81 Bn | 794.00 Mn |
| 3 | Boeing | 136.65 Bn | 45.62 Bn | 2.17 Bn | 636.00 Mn |
| 4 | Lockheed Martin | 133.14 Bn | 117.38 Bn | 2.44 Bn | 861.00 Mn |
| 5 | General Dynamics | 96.29 Bn | 81.53 Bn | 2.25 Bn | -366.00 Mn |
| 6 | Motorola Solutions | 85.48 Bn | 81.96 Bn | 1.77 Bn | 33.00 Mn |
| 7 | Howmet Aerospace | 79.96 Bn | 75.71 Bn | 1.00 Bn | -12.00 Mn |
| 8 | Northrop Grumman | 74.71 Bn | 62.17 Bn | 2.35 Bn | 403.00 Mn |
| 9 | Honeywell International | 68.49 Bn | 28.24 Bn | 2.02 Bn | -243.00 Mn |
| 10 | TransDigm | 65.77 Bn | 53.86 Bn | 1.63 Bn | 43.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 54.00 Mn |
| Jun 30, 2026 | 36.00 Mn |
| Mar 31, 2026 | -68.00 Mn |
| Dec 31, 2025 | 395.00 Mn |
| Sep 30, 2025 | 51.00 Mn |
| Jun 30, 2025 | 111.00 Mn |
| Mar 31, 2025 | -46.00 Mn |
| Dec 31, 2024 | 105.00 Mn |
| Sep 30, 2024 | 162.00 Mn |
| Jun 30, 2024 | 5.00 Mn |
| Mar 31, 2024 | -160.00 Mn |
| Dec 31, 2023 | 26.00 Mn |
| Sep 30, 2023 | 64.00 Mn |
| Jun 30, 2023 | 231.00 Mn |
| Mar 31, 2023 | -294.00 Mn |
| Dec 31, 2022 | 898.00 Mn |
| Sep 30, 2022 | -534.00 Mn |
| Jun 30, 2022 | 73.00 Mn |
| Mar 31, 2022 | -473.00 Mn |
| Dec 31, 2021 | -509.00 Mn |
General Electric Change in Other Operating Assets 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=change-in-other-operating-assets&ticker=GE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-assets", "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=change-in-other-operating-assets&ticker=GE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();