GE HealthCare Technologies (GEHC) Cash from Operations (2022 - 2026)
GE HealthCare Technologies (GEHC) recorded Cash from Operations of $168 million in Q2 2026, up 78.7% from $94 million a year earlier but down 42.1% from the prior quarter.
GE HealthCare Technologies (GEHC) Cash from Operations (2022 - 2026) Analysis & Trends
On a TTM basis, GE HealthCare Technologies' Cash from Operations came in at $2.1 billion as of Jun 30, 2026, up 5.1% year-over-year; for FY2025, it was $1.99 billion, up 1.6% from FY2024.
- Annual Cash from Operations has a four-year compound annual growth rate of 5.4% (FY2021 to FY2025).
- Across earlier years, Cash from Operations came in at $1.96 billion in FY2024 (-6.9%), $2.1 billion in FY2023 (-1.5%), $2.13 billion in FY2022 (+32.8%) and $1.61 billion in FY2021.
- Quarterly Cash from Operations has ranged from -$119 million in Q2 2024 to $1.06 billion in Q4 2022 over the past five years.
- On a year-over-year basis, Cash from Operations has increased for three consecutive quarters, with growth averaging 7.2% over the last seven quarters.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 78.7% in Q2 2026, against a decline of 40.3% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $290 million (Q1 2026), $1.05 billion (Q4 2025) and $593 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 2.13 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 2.49 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.53 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 1.06 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.79 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.26 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 651.90 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 776.00 Mn |
| 10 | GE HealthCare Technologies | 29.53 Bn | 16.81 Bn | 2.18 Bn | 168.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 168.00 Mn |
| Mar 31, 2026 | 290.00 Mn |
| Dec 31, 2025 | 1.05 Bn |
| Sep 30, 2025 | 593.00 Mn |
| Jun 30, 2025 | 94.00 Mn |
| Mar 31, 2025 | 250.00 Mn |
| Dec 31, 2024 | 913.00 Mn |
| Sep 30, 2024 | 742.00 Mn |
| Jun 30, 2024 | -119.00 Mn |
| Mar 31, 2024 | 419.00 Mn |
| Dec 31, 2023 | 1.05 Bn |
| Sep 30, 2023 | 650.00 Mn |
| Jun 30, 2023 | -67.00 Mn |
| Mar 31, 2023 | 468.00 Mn |
| Dec 31, 2022 | 1.06 Bn |
| Sep 30, 2022 | 622.00 Mn |
| Jun 30, 2022 | -19.00 Mn |
| Mar 31, 2022 | 468.00 Mn |
GE HealthCare Technologies Cash from Operations 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=cash-from-operations&ticker=GEHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=GEHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();