GE HealthCare Technologies (GEHC) Capital Expenditures (2022 - 2026)
GE HealthCare Technologies (GEHC) reported Capital Expenditures of $114 million for Q3 2026, up 3.6% from $110 million a year earlier and up 14.0% from the prior quarter.
GE HealthCare Technologies (GEHC) Capital Expenditures (2022 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, GE HealthCare Technologies' Capital Expenditures came in at $526 million, up 16.9% 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 nine quarters, with growth averaging 17.3% 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 Q3 2026 came in at $100 million (Q2 2026), $178 million (Q1 2026) and $134 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 437.00 Mn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 513.00 Mn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 255.00 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 113.10 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 237.00 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 180.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 63.60 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 141.00 Mn |
| 10 | GE HealthCare Technologies | 37.82 Bn | 26.29 Bn | 2.22 Bn | 114.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 114.00 Mn |
| 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();