General Electric (GE) Return on Capital Employed [ROCE] (2019 - 2026)
General Electric's Return on Capital Employed [ROCE] was -26.86% in Q2 2026, down 5.41 percentage points from -21.45% a year earlier and down 2.10 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 22.10 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 -1.23% in FY2024 (+0.47 pp), -1.70% in FY2023 (+6.42 pp), -8.12% in FY2022 (+4.82 pp) and -12.94% in FY2021 (+19.01 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Capital Employed [ROCE] since Q3 2022.
- Compared with a year earlier, Return on Capital Employed [ROCE] has declined for three straight quarters, with an average year-over-year change of -4.97 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 Q2 2026 was -24.76% (Q1 2026), -22.67% (Q4 2025) and -21.34% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | -26.86% |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 9.62% |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 8.25% |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 24.71% |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 22.99% |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 13.87% |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 22.44% |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 12.41% |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 15.09% |
| 10 | TransDigm | 60.25 Bn | 48.34 Bn | 1.63 Bn | 19.59% |
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | -32.09% |
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();