General Electric (GE) Long-Term Debt Repayments (2009 - 2026)
General Electric's Long-Term Debt Repayments was $248 million in Q3 2026, up 386.3% from $51 million a year earlier but down 74.3% from the prior quarter.
General Electric (GE) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, General Electric's Long-Term Debt Repayments was $1.78 billion through Sep 30, 2026, up 31.1% year-over-year; for FY2025, it came in at $1.81 billion, up 129.8% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of -42.8% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $788 million in FY2024 (-76.0%), $3.28 billion in FY2023 (-70.4%), $11.09 billion in FY2022 (-69.6%) and $36.51 billion in FY2021 (+23.2%).
- Quarterly Long-Term Debt Repayments has moved between $51 million (Q3 2025) and $26.3 billion (Q4 2021) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in four of the last eight quarters, with growth averaging 152.8%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q3 2022 (growth of 989.4%); the worst was Q4 2023 (a decline of 98.4%).
- Per Business Quant data, GE's Long-Term Debt Repayments in the three quarters before Q3 2026 was $966 million (Q2 2026), $60 million (Q1 2026) and $507 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 303.30 Bn | 262.05 Bn | 5.02 Bn | 248.00 Mn |
| 2 | Rtx | 262.79 Bn | 232.77 Bn | 5.81 Bn | 2.00 Mn |
| 3 | Boeing | 148.22 Bn | 54.92 Bn | 2.41 Bn | 1.43 Bn |
| 4 | Lockheed Martin | 136.34 Bn | 120.57 Bn | 2.44 Bn | - |
| 5 | General Dynamics | 94.90 Bn | 82.01 Bn | 2.18 Bn | 500.00 Mn |
| 6 | Motorola Solutions | 79.08 Bn | 75.44 Bn | 1.68 Bn | - |
| 7 | Northrop Grumman | 78.49 Bn | 65.95 Bn | 2.35 Bn | - |
| 8 | Howmet Aerospace | 77.28 Bn | 72.89 Bn | 951.00 Mn | 186.00 Mn |
| 9 | Honeywell International | 69.19 Bn | 21.64 Bn | 3.65 Bn | 582.00 Mn |
| 10 | TransDigm | 63.12 Bn | 51.21 Bn | 1.63 Bn | 28.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 248.00 Mn |
| Jun 30, 2026 | 966.00 Mn |
| Mar 31, 2026 | 60.00 Mn |
| Dec 31, 2025 | 507.00 Mn |
| Sep 30, 2025 | 51.00 Mn |
| Jun 30, 2025 | 1.20 Bn |
| Mar 31, 2025 | 56.00 Mn |
| Dec 31, 2024 | 55.00 Mn |
| Sep 30, 2024 | 117.00 Mn |
| Jun 30, 2024 | 380.00 Mn |
| Mar 31, 2024 | 236.00 Mn |
| Dec 31, 2023 | 125.00 Mn |
| Sep 30, 2023 | 631.00 Mn |
| Jun 30, 2023 | 711.00 Mn |
| Mar 31, 2023 | 1.82 Bn |
| Dec 31, 2022 | 7.91 Bn |
| Sep 30, 2022 | 1.13 Bn |
| Jun 30, 2022 | 778.00 Mn |
| Mar 31, 2022 | 1.27 Bn |
| Dec 31, 2021 | 26.30 Bn |
General Electric Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=GE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=GE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();