General Electric (GE) Total Liabilities (2009 - 2026)
General Electric (GE) posted Total Liabilities of $109.44 billion for Q3 2026, up 0.2% from $109.22 billion a year earlier but down 0.3% from the prior quarter.
General Electric (GE) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, General Electric's Total Liabilities came in at $111.27 billion, up 7.4% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -12.7% (FY2020 to FY2025).
- In prior years, General Electric's Total Liabilities was $103.58 billion in FY2024 (-28.4%), $144.7 billion in FY2023 (-6.0%), $153.92 billion in FY2022 (-7.0%) and $165.53 billion in FY2021 (-24.5%).
- Quarterly Total Liabilities has run from a low of $103.58 billion in Q4 2024 to a high of $165.53 billion in Q4 2021 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last six quarters, with an average decline of 3.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2025, with growth of 7.4%; the weakest was Q4 2024, with a decline of 28.4%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $109.81 billion (Q2 2026), $110.15 billion (Q1 2026) and $111.27 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,943.02 Bn | 1,704.73 Bn | 9.10 Bn | 77.28 Bn |
| 2 | General Electric | 349.37 Bn | 308.11 Bn | 5.02 Bn | 109.44 Bn |
| 3 | Rtx | 270.29 Bn | 240.28 Bn | 5.81 Bn | 105.63 Bn |
| 4 | Lockheed Martin | 139.31 Bn | 123.54 Bn | 2.44 Bn | 54.45 Bn |
| 5 | Boeing | 137.40 Bn | 46.38 Bn | 2.17 Bn | 164.18 Bn |
| 6 | General Dynamics | 99.29 Bn | 84.52 Bn | 2.25 Bn | 32.91 Bn |
| 7 | Motorola Solutions | 87.28 Bn | 83.77 Bn | 1.77 Bn | 18.06 Bn |
| 8 | Howmet Aerospace | 87.15 Bn | 82.91 Bn | 1.00 Bn | 7.52 Bn |
| 9 | Northrop Grumman | 77.96 Bn | 65.41 Bn | 2.35 Bn | 33.81 Bn |
| 10 | Honeywell International | 72.44 Bn | 32.19 Bn | 2.02 Bn | 30.44 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 109.44 Bn |
| Jun 30, 2026 | 109.81 Bn |
| Mar 31, 2026 | 110.15 Bn |
| Dec 31, 2025 | 111.27 Bn |
| Sep 30, 2025 | 109.22 Bn |
| Jun 30, 2025 | 105.91 Bn |
| Mar 31, 2025 | 104.66 Bn |
| Dec 31, 2024 | 103.58 Bn |
| Sep 30, 2024 | 107.60 Bn |
| Jun 30, 2024 | 104.35 Bn |
| Mar 31, 2024 | 132.81 Bn |
| Dec 31, 2023 | 144.70 Bn |
| Sep 30, 2023 | 126.80 Bn |
| Jun 30, 2023 | 130.61 Bn |
| Mar 31, 2023 | 131.65 Bn |
| Dec 31, 2022 | 153.92 Bn |
| Sep 30, 2022 | 149.94 Bn |
| Jun 30, 2022 | 153.81 Bn |
| Mar 31, 2022 | 159.05 Bn |
| Dec 31, 2021 | 165.53 Bn |
General Electric Total 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=total-liabilities&ticker=GE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-liabilities&ticker=GE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();