GE HealthCare Technologies (GEHC) Consolidated Net Income (2022 - 2026)
GE HealthCare Technologies (GEHC) recorded Consolidated Net Income of $573 million in Q2 2026, up 14.6% from $500 million a year earlier and up 39.4% from the prior quarter.
GE HealthCare Technologies (GEHC) Consolidated Net Income (2022 - 2026) Analysis & Trends
On a TTM basis, GE HealthCare Technologies' Consolidated Net Income came in at $2.05 billion as of Jun 30, 2026, down 11.5% year-over-year; for FY2025, it came in at $2.15 billion, up 5.1% from FY2024.
- Annual Consolidated Net Income has a four-year compound annual growth rate of -1.6% (FY2021 to FY2025).
- Across earlier years, Consolidated Net Income came in at $2.05 billion in FY2024 (+27.0%), $1.61 billion in FY2023 (-17.9%), $1.97 billion in FY2022 (-14.2%) and $2.29 billion in FY2021.
- Quarterly Consolidated Net Income has ranged from $382 million in Q3 2023 to $738 million in Q4 2024 over the past five years.
- On a year-over-year basis, Consolidated Net Income rose in five of the last eight quarters, with growth averaging 16.6%.
- Peak year-over-year performance for Consolidated Net Income in the last five years was growth of 77.4% in Q4 2024, against a decline of 30.1% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $411 million (Q1 2026), $602 million (Q4 2025) and $464 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 1.74 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 928.00 Mn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 870.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 823.20 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 1.48 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | -220.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 905.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 241.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 377.00 Mn |
| 10 | GE HealthCare Technologies | 29.04 Bn | 16.33 Bn | 2.18 Bn | 573.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 573.00 Mn |
| Mar 31, 2026 | 411.00 Mn |
| Dec 31, 2025 | 602.00 Mn |
| Sep 30, 2025 | 464.00 Mn |
| Jun 30, 2025 | 500.00 Mn |
| Mar 31, 2025 | 588.00 Mn |
| Dec 31, 2024 | 738.00 Mn |
| Sep 30, 2024 | 490.00 Mn |
| Jun 30, 2024 | 435.00 Mn |
| Mar 31, 2024 | 388.00 Mn |
| Dec 31, 2023 | 416.00 Mn |
| Sep 30, 2023 | 382.00 Mn |
| Jun 30, 2023 | 433.00 Mn |
| Mar 31, 2023 | 383.00 Mn |
| Dec 31, 2022 | 573.00 Mn |
| Sep 30, 2022 | 493.00 Mn |
| Jun 30, 2022 | 498.00 Mn |
| Mar 31, 2022 | 402.00 Mn |
GE HealthCare Technologies Consolidated Net Income 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=consolidated-net-income&ticker=GEHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=GEHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();