General Electric (GE) Return on Sales [ROS] (2009 - 2026)
General Electric (GE) posted Return on Sales [ROS] of -46.33% for Q2 2026, down 3.19 percentage points from -43.14% a year earlier and down 0.26 percentage points from the prior quarter.
General Electric (GE) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at General Electric was -46.48%, down 1.00 percentage points year-over-year; for FY2025, it was -44.61%, down 40.98 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 -3.63% in FY2024 (+3.54 pp), -7.17% in FY2023 (+33.09 pp), -40.25% in FY2022 (unchanged) and -40.25% in FY2021 (+46.58 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 three quarters, with an average year-over-year change of +2.80 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 -46.06% (Q1 2026), -48.08% (Q4 2025) and -45.41% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | -46.33% |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 11.38% |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 0.64% |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 12.36% |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 27.92% |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 10.36% |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 25.82% |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 10.08% |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 18.37% |
| 10 | TransDigm | 60.25 Bn | 48.34 Bn | 1.63 Bn | 44.76% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -46.33% |
| Mar 31, 2026 | -46.06% |
| Dec 31, 2025 | -48.08% |
| Sep 30, 2025 | -45.41% |
| Jun 30, 2025 | -43.14% |
| Mar 31, 2025 | -40.79% |
| Dec 31, 2024 | -44.08% |
| Sep 30, 2024 | -54.40% |
| Jun 30, 2024 | -44.69% |
| Mar 31, 2024 | -53.22% |
| Dec 31, 2023 | -58.61% |
| Sep 30, 2023 | -51.75% |
| Jun 30, 2023 | -53.46% |
| Mar 31, 2023 | -143.40% |
| Dec 31, 2022 | 110.59% |
| Sep 30, 2022 | -82.54% |
| Jun 30, 2022 | -72.66% |
| Mar 31, 2022 | -86.81% |
| Dec 31, 2021 | -14.92% |
| Sep 30, 2021 | -70.92% |
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();