General Electric (GE) Return on Capital Employed [ROCE] (2019 - 2026)
General Electric's Return on Capital Employed [ROCE] was -29.08% in Q3 2026, down 7.74 percentage points from -21.34% a year earlier and down 2.22 percentage points from the prior quarter.
General Electric (GE) Return on Capital Employed [ROCE] (2019 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at General Electric came in at -23.33%, down 30.89 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of +8.62 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was 7.56% in FY2024 (-0.14 pp), 7.70% in FY2023 (+5.72 pp), 1.98% in FY2022 (+4.20 pp) and -2.22% in FY2021 (+29.73 pp).
- The Q3 2026 figure marks the lowest quarterly Return on Capital Employed [ROCE] since Q1 2022.
- Compared with a year earlier, Return on Capital Employed [ROCE] has declined for four straight quarters, with an average year-over-year change of -3.47 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q3 2023 (a gain of 26.29 percentage points); the worst was Q3 2024 (a drop of 19.81 percentage points).
- Per Business Quant data, GE's Return on Capital Employed [ROCE] in the three quarters before Q3 2026 was -26.86% (Q2 2026), -24.76% (Q1 2026) and -22.67% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 303.30 Bn | 262.05 Bn | 5.02 Bn | -29.08% |
| 2 | Rtx | 262.79 Bn | 232.77 Bn | 5.81 Bn | 10.08% |
| 3 | Boeing | 148.22 Bn | 54.92 Bn | 2.41 Bn | 8.25% |
| 4 | Lockheed Martin | 136.34 Bn | 120.57 Bn | 2.44 Bn | 23.92% |
| 5 | General Dynamics | 94.90 Bn | 82.01 Bn | 2.18 Bn | 13.87% |
| 6 | Motorola Solutions | 79.08 Bn | 75.44 Bn | 1.68 Bn | 22.44% |
| 7 | Northrop Grumman | 78.49 Bn | 65.95 Bn | 2.35 Bn | 12.21% |
| 8 | Howmet Aerospace | 77.28 Bn | 72.89 Bn | 951.00 Mn | 22.99% |
| 9 | Honeywell International | 69.19 Bn | 21.64 Bn | 3.65 Bn | 15.09% |
| 10 | TransDigm | 63.12 Bn | 51.21 Bn | 1.63 Bn | 19.59% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -29.08% |
| Jun 30, 2026 | -26.86% |
| Mar 31, 2026 | -24.76% |
| Dec 31, 2025 | -22.67% |
| Sep 30, 2025 | -21.34% |
| Jun 30, 2025 | -21.45% |
| Mar 31, 2025 | -20.56% |
| Dec 31, 2024 | -20.93% |
| Sep 30, 2024 | -21.71% |
| Jun 30, 2024 | -17.31% |
| Mar 31, 2024 | -16.85% |
| Dec 31, 2023 | -19.77% |
| Sep 30, 2023 | -1.90% |
| Jun 30, 2023 | -8.00% |
| Mar 31, 2023 | -11.55% |
| Dec 31, 2022 | -10.78% |
| Sep 30, 2022 | -28.19% |
| Jun 30, 2022 | -27.78% |
| Mar 31, 2022 | -29.98% |
| Dec 31, 2021 | -26.84% |
General Electric Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=GE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=GE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();