GE HealthCare Technologies (GEHC) Capital Expenditures (2022 - 2026)
GE HealthCare Technologies (GEHC) reported Capital Expenditures of $100 million for Q2 2026, up 16.3% from $86 million a year earlier but down 43.8% from the prior quarter.
GE HealthCare Technologies (GEHC) Capital Expenditures (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, GE HealthCare Technologies' Capital Expenditures came in at $522 million, up 21.4% year-over-year; for FY2025, it was $482 million, up 20.2% from FY2024.
- Capital Expenditures has increased for four consecutive years, with a four-year compound annual growth rate of 18.1% (FY2021 to FY2025).
- By year, Capital Expenditures came in at $401 million in FY2024 (+3.6%), $387 million in FY2023 (+24.8%), $310 million in FY2022 (+25.0%) and $248 million in FY2021.
- Five-year quarterly Capital Expenditures spans a low of $59 million in Q2 2022 and a high of $178 million in Q1 2026.
- Year over year, Capital Expenditures has now increased in each of the last eight quarters, with growth averaging 18.4% over the last eight quarters.
- The high point for year-over-year Capital Expenditures in five years was Q1 2023 (growth of 43.0%); the low point was Q2 2024 (a decline of 8.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $178 million (Q1 2026), $134 million (Q4 2025) and $110 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 112.60 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 66.90 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 143.00 Mn |
| 10 | GE HealthCare Technologies | 29.53 Bn | 16.81 Bn | 2.18 Bn | 100.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 100.00 Mn |
| Mar 31, 2026 | 178.00 Mn |
| Dec 31, 2025 | 134.00 Mn |
| Sep 30, 2025 | 110.00 Mn |
| Jun 30, 2025 | 86.00 Mn |
| Mar 31, 2025 | 152.00 Mn |
| Dec 31, 2024 | 102.00 Mn |
| Sep 30, 2024 | 90.00 Mn |
| Jun 30, 2024 | 64.00 Mn |
| Mar 31, 2024 | 145.00 Mn |
| Dec 31, 2023 | 94.00 Mn |
| Sep 30, 2023 | 80.00 Mn |
| Jun 30, 2023 | 70.00 Mn |
| Mar 31, 2023 | 143.00 Mn |
| Dec 31, 2022 | 77.00 Mn |
| Sep 30, 2022 | 74.00 Mn |
| Jun 30, 2022 | 59.00 Mn |
| Mar 31, 2022 | 100.00 Mn |
GE HealthCare Technologies Capital Expenditures 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=capital-expenditures&ticker=GEHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=GEHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();