GE HealthCare Technologies (GEHC) Long-Term Debt Repayments (2022 - 2026)
GE HealthCare Technologies (GEHC) reported Long-Term Debt Repayments of $1 million for Q3 2026, down 75.0% from $4 million a year earlier and down 88.9% from the prior quarter.
GE HealthCare Technologies (GEHC) Long-Term Debt Repayments (2022 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, GE HealthCare Technologies' Long-Term Debt Repayments came in at $2.52 billion, up 65.4% year-over-year; for FY2025, it was $1.77 billion, up 24.6% from FY2024.
- Long-Term Debt Repayments has a four-year compound annual growth rate of 264.6% (FY2021 to FY2025).
- By year, Long-Term Debt Repayments came in at $1.42 billion in FY2024 (+65.8%), $855 million in FY2023, $3 million in FY2022 (-70.0%) and $10 million in FY2021.
- The Q3 2026 figure ranks as the lowest quarterly Long-Term Debt Repayments since Q4 2022.
- Year over year, Long-Term Debt Repayments gained in six of the last eight quarters, with growth averaging 59.5%.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q1 2023 (growth of 500.0%); the low point was Q3 2026 (a decline of 75.0%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $9 million (Q2 2026), $1 billion (Q1 2026) and $1.5 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 1.11 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 1.33 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | - |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | - |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | - |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 7.00 Mn |
| 10 | GE HealthCare Technologies | 37.82 Bn | 26.29 Bn | 2.22 Bn | 1.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.00 Mn |
| Jun 30, 2026 | 9.00 Mn |
| Mar 31, 2026 | 1.00 Bn |
| Dec 31, 2025 | 1.50 Bn |
| Sep 30, 2025 | 4.00 Mn |
| Jun 30, 2025 | 4.00 Mn |
| Mar 31, 2025 | 257.00 Mn |
| Dec 31, 2024 | 1.26 Bn |
| Sep 30, 2024 | 6.00 Mn |
| Jun 30, 2024 | 3.00 Mn |
| Mar 31, 2024 | 153.00 Mn |
| Dec 31, 2023 | 846.00 Mn |
| Sep 30, 2023 | 3.00 Mn |
| Mar 31, 2023 | 6.00 Mn |
| Dec 31, 2022 | -1.00 Mn |
| Sep 30, 2022 | 3.00 Mn |
| Mar 31, 2022 | 1.00 Mn |
GE HealthCare Technologies 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=GEHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "GEHC", "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=GEHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();