General Electric (GE) Total Non-Current Liabilities (2009 - 2026)
General Electric (GE) recorded Total Non-Current Liabilities of $102.53 billion in Q2 2026, up 3.4% from $99.12 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 $104 billion, up 7.7% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 61.3% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $96.54 billion in FY2024 (-29.6%), $137.04 billion in FY2023 (+4.8%), $130.73 billion in FY2022 (-5.5%) and $138.31 billion in FY2021.
- Quarterly Total Non-Current Liabilities has ranged from $96.54 billion in Q4 2024 to $169.76 billion in Q3 2021 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased for five consecutive quarters, with an average decline of 5.3% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 7.7% in Q4 2025, against a decline of 29.6% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $102.92 billion (Q1 2026), $104 billion (Q4 2025) and $102.22 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 102.53 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 86.00 Mn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 157.29 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 48.28 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 6.90 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 14.57 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 14.44 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 30.72 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 52.22 Bn |
| 10 | TransDigm | 59.83 Bn | 47.91 Bn | 1.63 Bn | 36.01 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 102.53 Bn |
| Mar 31, 2026 | 102.92 Bn |
| Dec 31, 2025 | 104.00 Bn |
| Sep 30, 2025 | 102.22 Bn |
| Jun 30, 2025 | 99.12 Bn |
| Mar 31, 2025 | 97.78 Bn |
| Dec 31, 2024 | 96.54 Bn |
| Sep 30, 2024 | 100.43 Bn |
| Jun 30, 2024 | 97.10 Bn |
| Mar 31, 2024 | 121.81 Bn |
| Dec 31, 2023 | 137.04 Bn |
| Sep 30, 2023 | 115.63 Bn |
| Jun 30, 2023 | 119.55 Bn |
| Mar 31, 2023 | 120.71 Bn |
| Dec 31, 2022 | 130.73 Bn |
| Sep 30, 2022 | 130.74 Bn |
| Jun 30, 2022 | 134.05 Bn |
| Mar 31, 2022 | 138.42 Bn |
| Dec 31, 2021 | 138.31 Bn |
| Sep 30, 2021 | 169.76 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();