General Electric (GE) Return on Sales [ROS] (2009 - 2026)
General Electric (GE) posted Return on Sales [ROS] of -47.62% for Q3 2026, down 2.21 percentage points from -45.41% a year earlier and down 1.29 percentage points from the prior quarter.
General Electric (GE) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Return on Sales [ROS] at General Electric was -47.03%, down 3.57 percentage points year-over-year; for FY2025, it was -44.61%, down 66.84 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +42.22 percentage points (FY2020 to FY2025).
- In prior years, General Electric's Return on Sales [ROS] was 22.24% in FY2024 (-10.21 pp), 32.45% in FY2023 (+22.63 pp), 9.82% in FY2022 (+16.73 pp) and -6.92% in FY2021 (+79.92 pp).
- Quarterly Return on Sales [ROS] has run from a low of -143.40% in Q1 2023 to a high of 110.59% in Q4 2022 over five years.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last four quarters, with an average year-over-year change of +2.85 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2022, with a gain of 125.51 percentage points; the weakest was Q4 2023, with a drop of 169.20 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -46.33% (Q2 2026), -46.06% (Q1 2026) and -48.08% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,657.49 Bn | 1,419.20 Bn | 9.10 Bn | 19.15% |
| 2 | General Electric | 341.86 Bn | 300.61 Bn | 5.02 Bn | -1.26% |
| 3 | Rtx | 267.69 Bn | 237.67 Bn | 5.81 Bn | 13.37% |
| 4 | Lockheed Martin | 137.00 Bn | 121.23 Bn | 2.44 Bn | 11.80% |
| 5 | Boeing | 134.86 Bn | 43.82 Bn | 2.17 Bn | 1.46% |
| 6 | General Dynamics | 97.91 Bn | 83.14 Bn | 2.25 Bn | 10.48% |
| 7 | Motorola Solutions | 87.85 Bn | 84.32 Bn | 1.77 Bn | 23.02% |
| 8 | Howmet Aerospace | 87.43 Bn | 83.18 Bn | 1.00 Bn | 28.75% |
| 9 | Northrop Grumman | 78.02 Bn | 65.48 Bn | 2.35 Bn | 11.41% |
| 10 | Honeywell International | 70.02 Bn | 29.53 Bn | 2.02 Bn | 22.61% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -1.26% |
| Jun 30, 2026 | -1.33% |
| Mar 31, 2026 | -1.42% |
| Dec 31, 2025 | -6.20% |
| Sep 30, 2025 | -1.63% |
| Jun 30, 2025 | -1.79% |
| Mar 31, 2025 | -2.02% |
| Dec 31, 2024 | -7.79% |
| Sep 30, 2024 | -2.10% |
| Jun 30, 2024 | -2.24% |
| Mar 31, 2024 | -2.42% |
| Dec 31, 2023 | -10.34% |
| Sep 30, 2023 | -2.62% |
| Jun 30, 2023 | -2.84% |
| Mar 31, 2023 | -4.91% |
| Dec 31, 2022 | 1.44% |
| Sep 30, 2022 | -0.66% |
| Jun 30, 2022 | -0.71% |
| Mar 31, 2022 | -0.83% |
| Dec 31, 2021 | -1.17% |
General Electric 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=GE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GE", "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=GE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();