GE HealthCare Technologies (GEHC) Cash & Equivalents (2022 - 2026)
GE HealthCare Technologies (GEHC) posted Cash & Equivalents of $2.11 billion for Q2 2026, down 44.0% from $3.77 billion a year earlier and down 7.9% from the prior quarter.
GE HealthCare Technologies (GEHC) Cash & Equivalents (2022 - 2026) Analysis & Trends
At the end of FY2025, GE HealthCare Technologies' Cash & Equivalents came in at $4.52 billion, up 56.1% from FY2024.
- Annual Cash & Equivalents has increased for four consecutive years, with a four-year compound annual growth rate of 68.4% (FY2021 to FY2025).
- In prior years, GE HealthCare Technologies' Cash & Equivalents was $2.89 billion in FY2024 (+15.4%), $2.51 billion in FY2023 (+72.7%), $1.45 billion in FY2022 (+158.6%) and $561 million in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Cash & Equivalents since Q2 2024.
- On a year-over-year basis, Cash & Equivalents increased in five of the last eight quarters, with growth averaging 20.4%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2023, with growth of 380.2%; the weakest was Q2 2026, with a decline of 44.0%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $2.29 billion (Q1 2026), $4.52 billion (Q4 2025) and $4.03 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 708.00 Mn |
| 10 | GE HealthCare Technologies | 29.04 Bn | 16.33 Bn | 2.18 Bn | 2.11 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.11 Bn |
| Mar 31, 2026 | 2.29 Bn |
| Dec 31, 2025 | 4.52 Bn |
| Sep 30, 2025 | 4.03 Bn |
| Jun 30, 2025 | 3.77 Bn |
| Mar 31, 2025 | 2.48 Bn |
| Dec 31, 2024 | 2.89 Bn |
| Sep 30, 2024 | 3.57 Bn |
| Jun 30, 2024 | 2.02 Bn |
| Mar 31, 2024 | 2.57 Bn |
| Dec 31, 2023 | 2.51 Bn |
| Sep 30, 2023 | 2.42 Bn |
| Jun 30, 2023 | 1.95 Bn |
| Mar 31, 2023 | 2.33 Bn |
| Dec 31, 2022 | 1.45 Bn |
| Sep 30, 2022 | 504.00 Mn |
| Jun 30, 2022 | 530.00 Mn |
| Mar 31, 2022 | 506.00 Mn |
GE HealthCare Technologies Cash & Equivalents 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-and-equivalents&ticker=GEHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=GEHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();