GE HealthCare Technologies (GEHC) Total Non-Current Liabilities (2022 - 2026)
GE HealthCare Technologies (GEHC) recorded Total Non-Current Liabilities of $24.12 billion in Q2 2026, up 1.5% from $23.76 billion a year earlier but down 1.3% from the prior quarter.
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Analysis
GE HealthCare Technologies (GEHC) Total Non-Current Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2025, GE HealthCare Technologies reported Total Non-Current Liabilities of $24.46 billion, up 7.1% from FY2024.
- Annual Total Non-Current Liabilities has a three-year compound annual growth rate of 13.8% (FY2022 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $22.83 billion in FY2024 (-2.6%), $23.43 billion in FY2023 (+41.4%) and $16.57 billion in FY2022.
- Quarterly Total Non-Current Liabilities has ranged from $16.57 billion in Q4 2022 to $24.46 billion in Q4 2025 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased for five consecutive quarters, with growth averaging 2.7% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 41.4% in Q4 2023, against a decline of 4.7% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $24.43 billion (Q1 2026), $24.46 billion (Q4 2025) and $24.01 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 23.92 Bn |
| 10 | GE HealthCare Technologies | 29.53 Bn | 16.81 Bn | 2.18 Bn | 24.12 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.12 Bn |
| Mar 31, 2026 | 24.43 Bn |
| Dec 31, 2025 | 24.46 Bn |
| Sep 30, 2025 | 24.01 Bn |
| Jun 30, 2025 | 23.76 Bn |
| Mar 31, 2025 | 22.54 Bn |
| Dec 31, 2024 | 22.83 Bn |
| Sep 30, 2024 | 23.60 Bn |
| Jun 30, 2024 | 22.24 Bn |
| Mar 31, 2024 | 22.97 Bn |
| Dec 31, 2023 | 23.43 Bn |
| Sep 30, 2023 | 23.41 Bn |
| Jun 30, 2023 | 23.27 Bn |
| Mar 31, 2023 | 24.11 Bn |
| Dec 31, 2022 | 16.57 Bn |
API Access
GE HealthCare Technologies 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=GEHC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=GEHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();