General Electric (GE) Change in Other Operating Liabilities (2009 - 2026)
General Electric's Change in Other Operating Liabilities came in at $934 million for Q3 2026, up 749.1% from $110 million a year earlier.
General Electric (GE) Change in Other Operating Liabilities (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, General Electric reported Change in Other Operating Liabilities of $2.85 billion, up 258.4% year-over-year; for FY2025, it was $2.03 billion, up 146.4% from FY2024.
- Going back by year, Change in Other Operating Liabilities was $822 million in FY2024 (+12.1%), $733 million in FY2023 (-59.4%), $1.8 billion in FY2022 and -$2.22 billion in FY2021.
- The five-year range for quarterly Change in Other Operating Liabilities is -$188 million (Q4 2024) to $1.35 billion (Q4 2022).
- Year-over-year, Change in Other Operating Liabilities increased in three of the last five quarters, with growth averaging 146.2%.
- The fastest year-over-year change in Change in Other Operating Liabilities over five years came in Q3 2026 (growth of 749.1%), and the weakest in Q2 2026 (a decline of 93.6%).
- Business Quant data shows GE's Change in Other Operating Liabilities at $33 million (Q2 2026), $836 million (Q1 2026) and $1.04 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Liabilities Change (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 338.86 Bn | 297.38 Bn | 5.02 Bn | 934.00 Mn |
| 2 | Rtx | 267.19 Bn | 235.46 Bn | 5.81 Bn | -980.00 Mn |
| 3 | Boeing | 138.60 Bn | 47.56 Bn | 2.17 Bn | 3.37 Bn |
| 4 | Lockheed Martin | 136.35 Bn | 120.58 Bn | 2.44 Bn | 493.00 Mn |
| 5 | General Dynamics | 99.30 Bn | 84.53 Bn | 2.25 Bn | 64.00 Mn |
| 6 | Motorola Solutions | 88.20 Bn | 84.67 Bn | 1.77 Bn | - |
| 7 | Howmet Aerospace | 83.64 Bn | 79.39 Bn | 1.00 Bn | 62.00 Mn |
| 8 | Northrop Grumman | 75.01 Bn | 62.47 Bn | 2.35 Bn | 15.00 Mn |
| 9 | Honeywell International | 71.83 Bn | 31.34 Bn | 2.02 Bn | - |
| 10 | TransDigm | 70.14 Bn | 58.14 Bn | 1.63 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 934.00 Mn |
| Jun 30, 2026 | 33.00 Mn |
| Mar 31, 2026 | 836.00 Mn |
| Dec 31, 2025 | 1.04 Bn |
| Sep 30, 2025 | 110.00 Mn |
| Jun 30, 2025 | 512.00 Mn |
| Mar 31, 2025 | 360.00 Mn |
| Dec 31, 2024 | -188.00 Mn |
| Sep 30, 2024 | 685.00 Mn |
| Jun 30, 2024 | 403.00 Mn |
| Mar 31, 2024 | -78.00 Mn |
| Dec 31, 2023 | 411.00 Mn |
| Sep 30, 2023 | -100.00 Mn |
| Jun 30, 2023 | 450.00 Mn |
| Mar 31, 2023 | -28.00 Mn |
| Dec 31, 2022 | 1.35 Bn |
| Sep 30, 2022 | 284.00 Mn |
| Jun 30, 2022 | 274.00 Mn |
| Mar 31, 2022 | -100.00 Mn |
| Dec 31, 2021 | 295.00 Mn |
General Electric Change in Other Operating Liabilities 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-liabilities&ticker=GE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-liabilities", "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-liabilities&ticker=GE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();