GE HealthCare Technologies (GEHC) Selling, General & Administrative (2022 - 2026)
GE HealthCare Technologies (GEHC) recorded Selling, General & Administrative of $1.12 billion in Q2 2026, up 8.6% from $1.03 billion a year earlier and up 0.1% from the prior quarter.
GE HealthCare Technologies (GEHC) Selling, General & Administrative (2022 - 2026) Analysis & Trends
On a TTM basis, GE HealthCare Technologies' Selling, General & Administrative came in at $4.39 billion as of Jun 30, 2026, up 3.7% year-over-year; for FY2025, it came in at $4.23 billion, down 1.0% from FY2024.
- Annual Selling, General & Administrative has a four-year compound annual growth rate of 4.4% (FY2021 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $4.27 billion in FY2024 (-0.3%), $4.28 billion in FY2023 (+17.9%), $3.63 billion in FY2022 (+1.9%) and $3.56 billion in FY2021.
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative since Q4 2024.
- On a year-over-year basis, Selling, General & Administrative rose in five of the last eight quarters, with growth averaging 1.7%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 30.3% in Q4 2023, against a decline of 3.6% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.12 billion (Q1 2026), $1.11 billion (Q4 2025) and $1.05 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 2.33 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 4.03 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.07 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 617.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.20 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.23 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.80 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 561.20 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 1.26 Bn |
| 10 | GE HealthCare Technologies | 29.04 Bn | 16.33 Bn | 2.18 Bn | 1.12 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.12 Bn |
| Mar 31, 2026 | 1.12 Bn |
| Dec 31, 2025 | 1.11 Bn |
| Sep 30, 2025 | 1.05 Bn |
| Jun 30, 2025 | 1.03 Bn |
| Mar 31, 2025 | 1.04 Bn |
| Dec 31, 2024 | 1.13 Bn |
| Sep 30, 2024 | 1.03 Bn |
| Jun 30, 2024 | 1.07 Bn |
| Mar 31, 2024 | 1.04 Bn |
| Dec 31, 2023 | 1.15 Bn |
| Sep 30, 2023 | 996.00 Mn |
| Jun 30, 2023 | 1.07 Bn |
| Mar 31, 2023 | 1.06 Bn |
| Dec 31, 2022 | 884.00 Mn |
| Sep 30, 2022 | 908.00 Mn |
| Jun 30, 2022 | 908.00 Mn |
| Mar 31, 2022 | 931.00 Mn |
GE HealthCare Technologies Selling, General & Administrative 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=selling-general-and-administrative&ticker=GEHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=GEHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();