Intuitive Machines (LUNR) Return on Sales [ROS] (2022 - 2026)
Intuitive Machines (LUNR) recorded Return on Sales [ROS] of -22.86% in 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) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
On a TTM basis, Intuitive Machines' Return on Sales [ROS] came in at -27.51% as of Jun 30, 2026, up 1.62 percentage points year-over-year; for FY2025, it was -41.53%, down 16.35 percentage points from FY2024.
- Annual Return on Sales [ROS] has a three-year change of -33.81 percentage points (FY2022 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -25.17% in FY2024 (+51.66 pp), -76.83% in FY2023 (-69.12 pp) and -7.71% in FY2022.
- Quarterly Return on Sales [ROS] has ranged from -188.55% in Q3 2023 to 30.13% in Q4 2022 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in three of the last eight quarters, with an average year-over-year change of +16.96 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 165.08 percentage points in Q3 2024, against a drop of 73.69 percentage points in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -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) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | -47.62% |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 13.37% |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | 1.46% |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | 11.80% |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 10.48% |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 23.02% |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | 28.75% |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | 11.41% |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 14.82% |
| 10 | Intuitive Machines | 1.70 Bn | -104.87 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 Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=LUNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=LUNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();