Intuitive Machines (LUNR) Return on Capital Employed [ROCE] (2022 - 2026)
Intuitive Machines' Return on Capital Employed [ROCE] came in at -9.61% for Q2 2026, up 7.69 percentage points from -17.30% a year earlier and up 4.54 percentage points from the prior quarter.
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Analysis
Intuitive Machines (LUNR) Return on Capital Employed [ROCE] (2022 - 2026) Analysis & Trends
For FY2025, Intuitive Machines' Return on Capital Employed [ROCE] was -20.22%, up 26.90 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a three-year change of -14.27 percentage points (FY2022 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -47.11% in FY2024 and -5.95% in FY2022.
- The Q2 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] since Q4 2022.
- Year-over-year, Return on Capital Employed [ROCE] has increased for eight consecutive quarters, with an average year-over-year change of +394.77 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q3 2024 (a gain of 2382.89 percentage points), and the weakest in Q3 2023 (a drop of 2436.21 percentage points).
- Business Quant data shows LUNR's Return on Capital Employed [ROCE] at -14.15% (Q1 2026), -13.83% (Q4 2025) and -13.28% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | -19.49% |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 10.08% |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | 17.91% |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | 23.92% |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 14.17% |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 21.71% |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | 24.70% |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | 12.21% |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | -7.52% |
| 10 | Intuitive Machines | 1.70 Bn | -104.87 Mn | 35.87 Mn | -9.61% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -9.61% |
| Mar 31, 2026 | -14.15% |
| Dec 31, 2025 | -13.83% |
| Sep 30, 2025 | -13.28% |
| Jun 30, 2025 | -17.30% |
| Mar 31, 2025 | -19.63% |
| Dec 31, 2024 | -30.01% |
| Sep 30, 2024 | -59.09% |
| Jun 30, 2024 | -87.70% |
| Mar 31, 2024 | -205.89% |
| Dec 31, 2023 | -473.52% |
| Sep 30, 2023 | -2,441.97% |
| Dec 31, 2022 | -5.92% |
| Sep 30, 2022 | -5.76% |
| Jun 30, 2022 | -2.18% |
| Mar 31, 2022 | -1.51% |
API Access
Intuitive Machines 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=LUNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "LUNR", "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=LUNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();