Lockheed Martin (LMT) Return on Capital Employed [ROCE] (2009 - 2026)
Lockheed Martin's Return on Capital Employed [ROCE] was 24.71% in Q2 2026, up 6.89 percentage points from 17.82% a year earlier and up 4.90 percentage points from the prior quarter.
Lockheed Martin (LMT) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Lockheed Martin came in at 22.48%, up 2.22 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of -2.09 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was 20.26% in FY2024 (-3.55 pp), 23.81% in FY2023 (+0.61 pp), 23.20% in FY2022 (-1.60 pp) and 24.79% in FY2021 (+0.23 pp).
- The Q2 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since Q1 2022.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in three of the last eight quarters, with an average year-over-year change of -1.09 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q2 2026 (a gain of 6.89 percentage points); the worst was Q3 2025 (a drop of 6.31 percentage points).
- Per Business Quant data, LMT's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was 19.82% (Q1 2026), 21.05% (Q4 2025) and 16.66% (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 28, 2026 | 24.71% |
| Mar 29, 2026 | 19.82% |
| Dec 31, 2025 | 21.05% |
| Sep 28, 2025 | 16.66% |
| Jun 29, 2025 | 17.82% |
| Mar 30, 2025 | 21.04% |
| Dec 31, 2024 | 19.40% |
| Sep 29, 2024 | 22.97% |
| Jun 30, 2024 | 23.30% |
| Mar 31, 2024 | 23.60% |
| Dec 31, 2023 | 22.61% |
| Sep 24, 2023 | 21.47% |
| Jun 25, 2023 | 22.64% |
| Mar 26, 2023 | 22.99% |
| Dec 31, 2022 | 22.83% |
| Sep 25, 2022 | 23.94% |
| Jun 26, 2022 | 24.59% |
| Mar 27, 2022 | 25.25% |
| Dec 31, 2021 | 24.42% |
| Sep 26, 2021 | 24.24% |
Lockheed Martin 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=LMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "LMT", "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=LMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();