GE HealthCare Technologies (GEHC) Return on Sales [ROS] (2022 - 2026)
GE HealthCare Technologies' Return on Sales [ROS] came in at 14.60% for Q3 2026, up 1.90 percentage points from 12.70% a year earlier and up 0.65 percentage points from the prior quarter.
GE HealthCare Technologies (GEHC) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, GE HealthCare Technologies reported Return on Sales [ROS] of 13.34%, down 0.18 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 Q3 2026 figure represents the highest quarterly Return on Sales [ROS] since Q4 2024.
- Year-over-year, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +0.22 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2026 (a gain of 1.90 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 13.96% (Q2 2026), 10.04% (Q1 2026) and 14.51% (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 18.65% |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 10.44% |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 19.00% |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 19.44% |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 15.86% |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 16.12% |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 17.44% |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 6.36% |
| 10 | GE HealthCare Technologies | 37.82 Bn | 26.29 Bn | 2.22 Bn | 14.60% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 14.60% |
| 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();