General Electric (GE) Total Non-Current Liabilities (2009 - 2026)
General Electric (GE) recorded Total Non-Current Liabilities of $95.58 billion in Q3 2026, up 0.1% from $95.5 billion a year earlier but down 0.4% from the prior quarter.
General Electric (GE) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, General Electric reported Total Non-Current Liabilities of $97.16 billion, up 7.8% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -7.7% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $90.17 billion in FY2024 (-31.3%), $131.28 billion in FY2023 (+20.2%), $109.27 billion in FY2022 (+5.2%) and $103.87 billion in FY2021 (-28.3%).
- Quarterly Total Non-Current Liabilities has ranged from $90.17 billion in Q4 2024 to $131.28 billion in Q4 2023 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased for six consecutive quarters, with an average decline of 3.5% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 20.2% in Q4 2023, against a decline of 31.3% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $96 billion (Q2 2026), $96.26 billion (Q1 2026) and $97.16 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 303.30 Bn | 262.05 Bn | 5.02 Bn | 95.58 Bn |
| 2 | Rtx | 262.79 Bn | 232.77 Bn | 5.81 Bn | 82.00 Mn |
| 3 | Boeing | 148.22 Bn | 54.92 Bn | 2.41 Bn | 157.29 Bn |
| 4 | Lockheed Martin | 136.34 Bn | 120.57 Bn | 2.44 Bn | 48.98 Bn |
| 5 | General Dynamics | 94.90 Bn | 82.01 Bn | 2.18 Bn | 14.57 Bn |
| 6 | Motorola Solutions | 79.08 Bn | 75.44 Bn | 1.68 Bn | 14.44 Bn |
| 7 | Northrop Grumman | 78.49 Bn | 65.95 Bn | 2.35 Bn | 31.46 Bn |
| 8 | Howmet Aerospace | 77.28 Bn | 72.89 Bn | 951.00 Mn | 6.90 Bn |
| 9 | Honeywell International | 69.19 Bn | 21.64 Bn | 3.65 Bn | 52.22 Bn |
| 10 | TransDigm | 63.12 Bn | 51.21 Bn | 1.63 Bn | 36.01 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 95.58 Bn |
| Jun 30, 2026 | 96.00 Bn |
| Mar 31, 2026 | 96.26 Bn |
| Dec 31, 2025 | 97.16 Bn |
| Sep 30, 2025 | 95.50 Bn |
| Jun 30, 2025 | 92.61 Bn |
| Mar 31, 2025 | 91.25 Bn |
| Dec 31, 2024 | 90.17 Bn |
| Sep 30, 2024 | 93.78 Bn |
| Jun 30, 2024 | 90.57 Bn |
| Mar 31, 2024 | 110.96 Bn |
| Dec 31, 2023 | 131.28 Bn |
| Sep 30, 2023 | 105.91 Bn |
| Jun 30, 2023 | 109.61 Bn |
| Mar 31, 2023 | 110.47 Bn |
| Dec 31, 2022 | 109.27 Bn |
| Sep 30, 2022 | 118.97 Bn |
| Jun 30, 2022 | 122.17 Bn |
| Mar 31, 2022 | 125.94 Bn |
| Dec 31, 2021 | 103.87 Bn |
General Electric Total Non-Current 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-non-current-liabilities&ticker=GE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=GE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();