GE HealthCare Technologies (GEHC) Return on Sales [ROS] (2022 - 2026)
GE HealthCare Technologies' Return on Sales [ROS] came in at 13.96% for Q2 2026, up 0.89 percentage points from 13.06% a year earlier and up 3.92 percentage points from the prior quarter.
GE HealthCare Technologies (GEHC) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, GE HealthCare Technologies reported Return on Sales [ROS] of 12.86%, down 0.97 percentage points year-over-year; for FY2025, it came in at 13.40%, up 0.05 percentage points from FY2024.
- Return on Sales [ROS] carries a four-year change of -2.50 percentage points (FY2021 to FY2025).
- Going back by year, Return on Sales [ROS] was 13.34% in FY2024 (+0.89 pp), 12.45% in FY2023 (-1.30 pp), 13.75% in FY2022 (-2.14 pp) and 15.89% in FY2021.
- The five-year range for quarterly Return on Sales [ROS] is 10.04% (Q1 2026) to 15.74% (Q4 2022).
- Year-over-year, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +0.12 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2024 (a gain of 1.82 percentage points), and the weakest in Q1 2026 (a drop of 3.13 percentage points).
- Business Quant data shows GEHC's Return on Sales [ROS] at 10.04% (Q1 2026), 14.51% (Q4 2025) and 12.70% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 13.31% |
| 10 | GE HealthCare Technologies | 29.04 Bn | 16.33 Bn | 2.18 Bn | 13.96% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.96% |
| Mar 31, 2026 | 10.04% |
| Dec 31, 2025 | 14.51% |
| Sep 30, 2025 | 12.70% |
| Jun 30, 2025 | 13.06% |
| Mar 31, 2025 | 13.17% |
| Dec 31, 2024 | 15.06% |
| Sep 30, 2024 | 13.90% |
| Jun 30, 2024 | 12.56% |
| Mar 31, 2024 | 11.61% |
| Dec 31, 2023 | 13.23% |
| Sep 30, 2023 | 12.80% |
| Jun 30, 2023 | 11.83% |
| Mar 31, 2023 | 11.88% |
| Dec 31, 2022 | 15.74% |
| Sep 30, 2022 | 13.22% |
| Jun 30, 2022 | 14.07% |
| Mar 31, 2022 | 11.72% |
GE HealthCare Technologies Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=GEHC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=GEHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();