Intuitive Machines (LUNR) Other Operating Expenses (2021 - 2026)
Intuitive Machines (LUNR) posted Other Operating Expenses of $890,000 for Q2 2026, up 70.8% from the prior quarter.
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Analysis
Intuitive Machines (LUNR) Other Operating Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Intuitive Machines was -$30.1 million; for FY2025, it was $1.85 million.
- Annual Other Operating Expenses shows a four-year compound annual growth rate of 80.2% (FY2021 to FY2025).
- In prior years, Intuitive Machines' Other Operating Expenses was -$66.25 million in FY2023 and $175,830 in FY2021.
- The Q2 2026 figure stands as the highest quarterly Other Operating Expenses since Q3 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.20 Bn | 278.20 Bn | 4.68 Bn |
| 2 | Rtx | 249.38 Bn | 222.59 Bn | 5.13 Bn |
| 3 | Boeing | 152.06 Bn | 58.76 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 116.66 Bn | 103.39 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 91.36 Bn | 86.97 Bn | 951.00 Mn |
| 6 | General Dynamics | 90.03 Bn | 77.14 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.17 Bn | 70.53 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.46 Bn | 57.71 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.76 Bn | 20.21 Bn | 3.65 Bn |
| 10 | Intuitive Machines | 3.17 Bn | 2.56 Bn | 35.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 890,000.00 |
| Mar 31, 2026 | 521,000.00 |
| Dec 31, 2025 | -31.52 Mn |
| Dec 31, 2024 | -33.82 Mn |
| Sep 30, 2024 | 33.33 Mn |
| Jun 30, 2024 | -22.11 Mn |
| Mar 31, 2024 | 22.60 Mn |
| Dec 31, 2023 | -5.19 Mn |
| Sep 30, 2023 | -36.04 Mn |
| Jun 30, 2023 | -28.76 Mn |
| Mar 31, 2023 | 3.73 Mn |
| Dec 31, 2021 | 199,069.00 |
| Sep 30, 2021 | -23,239.00 |
API Access
Intuitive Machines Other Operating Expenses 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=other-operating-expenses&ticker=LUNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=LUNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();