GE HealthCare Technologies (GEHC) Non Operating Interest Expenses (2022 - 2026)
GE HealthCare Technologies (GEHC) recorded Non Operating Interest Expenses of $114 million in Q2 2026, up 0.9% from $113 million a year earlier and up 18.8% from the prior quarter.
GE HealthCare Technologies (GEHC) Non Operating Interest Expenses (2022 - 2026) Analysis & Trends
On a TTM basis, GE HealthCare Technologies' Non Operating Interest Expenses came in at $426 million as of Jun 30, 2026, down 10.1% year-over-year; for FY2025, it was $440 million, down 12.7% from FY2024.
- Annual Non Operating Interest Expenses has a four-year compound annual growth rate of 82.1% (FY2021 to FY2025).
- Across earlier years, Non Operating Interest Expenses came in at $504 million in FY2024 (-7.0%), $542 million in FY2023 (+603.9%), $77 million in FY2022 (+92.5%) and $40 million in FY2021.
- The Q2 2026 figure is the highest quarterly Non Operating Interest Expenses since Q4 2024.
- On a year-over-year basis, Non Operating Interest Expenses rose in 1 of the last eight quarters, with an average decline of 9.6%.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 122.0% in Q4 2023, against a decline of 14.6% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $96 million (Q1 2026), $105 million (Q4 2025) and $111 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 132.00 Mn |
| 10 | GE HealthCare Technologies | 28.90 Bn | 16.19 Bn | 2.18 Bn | 114.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 114.00 Mn |
| Mar 31, 2026 | 96.00 Mn |
| Dec 31, 2025 | 105.00 Mn |
| Sep 30, 2025 | 111.00 Mn |
| Jun 30, 2025 | 113.00 Mn |
| Mar 31, 2025 | 110.00 Mn |
| Dec 31, 2024 | 121.00 Mn |
| Sep 30, 2024 | 130.00 Mn |
| Jun 30, 2024 | 131.00 Mn |
| Mar 31, 2024 | 122.00 Mn |
| Dec 31, 2023 | 131.00 Mn |
| Sep 30, 2023 | 138.00 Mn |
| Jun 30, 2023 | 137.00 Mn |
| Mar 31, 2023 | 136.00 Mn |
| Dec 31, 2022 | 59.00 Mn |
| Sep 30, 2022 | 2.00 Mn |
| Jun 30, 2022 | 12.00 Mn |
| Mar 31, 2022 | 4.00 Mn |
GE HealthCare Technologies Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=GEHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=GEHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();