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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 325.23 Bn | 283.97 Bn | 5.02 Bn |
| 2 | Rtx | 259.01 Bn | 228.99 Bn | 5.81 Bn |
| 3 | Boeing | 136.65 Bn | 45.62 Bn | 2.17 Bn |
| 4 | Lockheed Martin | 133.14 Bn | 117.38 Bn | 2.44 Bn |
| 5 | General Dynamics | 96.29 Bn | 81.53 Bn | 2.25 Bn |
| 6 | Motorola Solutions | 85.48 Bn | 81.96 Bn | 1.77 Bn |
| 7 | Howmet Aerospace | 79.96 Bn | 75.71 Bn | 1.00 Bn |
| 8 | Northrop Grumman | 74.71 Bn | 62.17 Bn | 2.35 Bn |
| 9 | Honeywell International | 68.49 Bn | 28.24 Bn | 2.02 Bn |
| 10 | Intuitive Machines | 1.94 Bn | 1.33 Bn | 35.87 Mn |
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 |
| Mar 31, 2021 | 16,114.00 |
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_KEY
import 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();