GE HealthCare Technologies (GEHC) Change in Inventory (2022 - 2026)
GE HealthCare Technologies' Change in Inventory was $139 million in Q2 2026, up 308.8% from $34 million a year earlier but down 18.7% from the prior quarter.
GE HealthCare Technologies (GEHC) Change in Inventory (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, GE HealthCare Technologies' Change in Inventory was $264 million through Jun 30, 2026, up 72.5% year-over-year; for FY2025, it came in at $142 million, up 75.3% from FY2024.
- Change in Inventory shows a four-year compound annual growth rate of -24.4% (FY2021 to FY2025).
- In earlier years, Change in Inventory was $81 million in FY2024, -$111 million in FY2023, $402 million in FY2022 (-7.6%) and $435 million in FY2021.
- Quarterly Change in Inventory has moved between -$196 million (Q4 2023) and $244 million (Q1 2022) over five years.
- Compared with a year earlier, Change in Inventory was higher in three of the last five quarters, with growth averaging 82.3%.
- The best year-over-year quarter for Change in Inventory over five years was Q2 2026 (growth of 308.8%); the worst was Q2 2023 (a decline of 75.4%).
- Per Business Quant data, GEHC's Change in Inventory in the three quarters before Q2 2026 was $171 million (Q1 2026), -$75 million (Q4 2025) and $29 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 301.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 46.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 248.00 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 240.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 113.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 133.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 23.50 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | - |
| 10 | GE HealthCare Technologies | 29.53 Bn | 16.81 Bn | 2.18 Bn | 139.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 139.00 Mn |
| Mar 31, 2026 | 171.00 Mn |
| Dec 31, 2025 | -75.00 Mn |
| Sep 30, 2025 | 29.00 Mn |
| Jun 30, 2025 | 34.00 Mn |
| Mar 31, 2025 | 154.00 Mn |
| Dec 31, 2024 | -76.00 Mn |
| Sep 30, 2024 | 41.00 Mn |
| Jun 30, 2024 | 57.00 Mn |
| Mar 31, 2024 | 59.00 Mn |
| Dec 31, 2023 | -196.00 Mn |
| Sep 30, 2023 | -87.00 Mn |
| Jun 30, 2023 | 50.00 Mn |
| Mar 31, 2023 | 122.00 Mn |
| Dec 31, 2022 | -140.00 Mn |
| Sep 30, 2022 | 95.00 Mn |
| Jun 30, 2022 | 203.00 Mn |
| Mar 31, 2022 | 244.00 Mn |
GE HealthCare Technologies Change in Inventory 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=change-in-inventory&ticker=GEHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=GEHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();