Intuitive Machines (LUNR) Operating Margin (2022 - 2026)
Intuitive Machines (LUNR) posted Operating Margin of -22.86% for Q2 2026, up 34.06 percentage points from -56.92% a year earlier but down 1.87 percentage points from the prior quarter.
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Analysis
Intuitive Machines (LUNR) Operating Margin (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Margin at Intuitive Machines was -27.51%, up 1.62 percentage points year-over-year; for FY2025, it was -41.53%, down 16.35 percentage points from FY2024.
- Annual Operating Margin shows a three-year change of -33.81 percentage points (FY2022 to FY2025).
- In prior years, Intuitive Machines' Operating Margin was -25.17% in FY2024 (+51.66 pp), -76.83% in FY2023 (-69.12 pp) and -7.71% in FY2022.
- Quarterly Operating Margin has run from a low of -188.55% in Q3 2023 to a high of 30.13% in Q4 2022 over five years.
- On a year-over-year basis, Operating Margin increased in three of the last eight quarters, with an average year-over-year change of +16.96 percentage points.
- The strongest year-over-year quarter for Operating Margin in the past five years was Q3 2024, with a gain of 165.08 percentage points; the weakest was Q3 2023, with a drop of 73.69 percentage points.
- According to Business Quant data, Operating Margin for the three prior quarters was -20.99% (Q1 2026), -73.90% (Q4 2025) and -29.40% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 311.41 Bn | 269.93 Bn | 5.02 Bn | -47.62% |
| 2 | Rtx | 270.60 Bn | 238.87 Bn | 5.81 Bn | 13.37% |
| 3 | Lockheed Martin | 147.27 Bn | 131.51 Bn | 2.44 Bn | 11.80% |
| 4 | Boeing | 135.84 Bn | 44.80 Bn | 2.17 Bn | 1.46% |
| 5 | General Dynamics | 100.63 Bn | 87.75 Bn | 2.18 Bn | 10.36% |
| 6 | Motorola Solutions | 81.53 Bn | 77.88 Bn | 1.68 Bn | 25.82% |
| 7 | Northrop Grumman | 79.44 Bn | 66.89 Bn | 2.35 Bn | 11.41% |
| 8 | Howmet Aerospace | 79.38 Bn | 75.14 Bn | 1.00 Bn | 28.75% |
| 9 | Honeywell International | 69.24 Bn | 69.24 Bn | - | - |
| 10 | Intuitive Machines | 1.73 Bn | -77.30 Mn | 35.87 Mn | -22.86% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -22.86% |
| Mar 31, 2026 | -20.99% |
| Dec 31, 2025 | -73.90% |
| Sep 30, 2025 | -29.40% |
| Jun 30, 2025 | -56.92% |
| Mar 31, 2025 | -16.12% |
| Dec 31, 2024 | -24.51% |
| Sep 30, 2024 | -23.47% |
| Jun 30, 2024 | -66.04% |
| Mar 31, 2024 | -3.79% |
| Dec 31, 2023 | -24.49% |
| Sep 30, 2023 | -188.55% |
| Jun 30, 2023 | -78.74% |
| Mar 31, 2023 | -84.76% |
| Dec 31, 2022 | 30.13% |
| Sep 30, 2022 | -114.86% |
| Jun 30, 2022 | -11.55% |
| Mar 31, 2022 | -24.36% |
API Access
Intuitive Machines Operating Margin 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=operating-margin&ticker=LUNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=LUNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();