Intuitive Machines (LUNR) Interest Expenses (2024 - 2026)
Intuitive Machines (LUNR) recorded Interest Expenses of $4.48 million in Q2 2026, compared with $72,000 a year earlier and down 8.2% from the prior quarter.
Powered by 
Analysis
Intuitive Machines (LUNR) Interest Expenses (2024 - 2026) Analysis & Trends
On a TTM basis, Intuitive Machines' Interest Expenses came in at $13.45 million as of Jun 30, 2026; for FY2025, it came in at $4.18 million.
- Across earlier years, Interest Expenses came in at $92,000 in FY2024.
- Quarterly Interest Expenses has ranged from $5,000 in Q4 2024 to $4.89 million in Q1 2026 over the past five years.
- Per Business Quant, the preceding three quarters came in at $4.89 million (Q1 2026), $2.74 million (Q4 2025) and $1.34 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 215.00 Mn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | - |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 600.00 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 266.00 Mn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | - |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 109.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 161.00 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 363.00 Mn |
| 10 | Intuitive Machines | 3.21 Bn | 2.60 Bn | 35.87 Mn | 4.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.48 Mn |
| Mar 31, 2026 | 4.89 Mn |
| Dec 31, 2025 | 2.74 Mn |
| Sep 30, 2025 | 1.34 Mn |
| Jun 30, 2025 | 72,000.00 |
| Mar 31, 2025 | 26,000.00 |
| Dec 31, 2024 | 5,000.00 |
| Sep 30, 2024 | 13,000.00 |
API Access
Intuitive Machines Interest 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=interest-expenses&ticker=LUNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=LUNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();