Intuitive Machines (LUNR) EBITDA Margin (2022 - 2026)
Intuitive Machines (LUNR) posted EBITDA Margin of -15.62% for Q2 2026, up 39.81 percentage points from -55.43% a year earlier but down 1.62 percentage points from the prior quarter.
Intuitive Machines (LUNR) EBITDA Margin (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at Intuitive Machines was -21.35%, up 6.72 percentage points year-over-year; for FY2025, it came in at -39.81%, down 15.46 percentage points from FY2024.
- Annual EBITDA Margin shows a three-year change of -33.33 percentage points (FY2022 to FY2025).
- In prior years, Intuitive Machines' EBITDA Margin was -24.36% in FY2024 (+50.74 pp), -75.10% in FY2023 (-68.62 pp) and -6.48% in FY2022.
- Quarterly EBITDA Margin has run from a low of -185.96% in Q3 2023 to a high of 30.87% in Q4 2022 over five years.
- On a year-over-year basis, EBITDA Margin increased in four of the last eight quarters, with an average year-over-year change of +18.63 percentage points.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q3 2024, with a gain of 163.32 percentage points; the weakest was Q3 2023, with a drop of 73.79 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was -14.01% (Q1 2026), -70.76% (Q4 2025) and -27.85% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | -43.99% |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 15.74% |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 3.06% |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 14.35% |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 31.21% |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 11.91% |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 30.55% |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 13.45% |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 21.58% |
| 10 | Intuitive Machines | 3.21 Bn | 2.60 Bn | 35.87 Mn | -15.62% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -15.62% |
| Mar 31, 2026 | -14.01% |
| Dec 31, 2025 | -70.76% |
| Sep 30, 2025 | -27.85% |
| Jun 30, 2025 | -55.43% |
| Mar 31, 2025 | -15.12% |
| Dec 31, 2024 | -23.52% |
| Sep 30, 2024 | -22.64% |
| Jun 30, 2024 | -65.02% |
| Mar 31, 2024 | -3.22% |
| Dec 31, 2023 | -23.08% |
| Sep 30, 2023 | -185.96% |
| Jun 30, 2023 | -76.97% |
| Mar 31, 2023 | -83.13% |
| Dec 31, 2022 | 30.87% |
| Sep 30, 2022 | -112.17% |
| Jun 30, 2022 | -10.20% |
| Mar 31, 2022 | -23.02% |
Intuitive Machines EBITDA 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=ebitda-margin&ticker=LUNR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=LUNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();