Intuitive Machines (LUNR) Capital Expenditures (2022 - 2026)
Intuitive Machines' Capital Expenditures was $24.07 million in Q2 2026, up 198.8% from $8.05 million a year earlier and up 143.7% from the prior quarter.
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Analysis
Intuitive Machines (LUNR) Capital Expenditures (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Intuitive Machines' Capital Expenditures was $61.4 million through Jun 30, 2026, up 199.6% year-over-year; for FY2025, it came in at $41.63 million, up 311.8% from FY2024.
- Capital Expenditures shows a three-year compound annual growth rate of 36.4% (FY2022 to FY2025).
- In earlier years, Capital Expenditures was $10.11 million in FY2024 (-66.2%), $29.91 million in FY2023 (+82.3%) and $16.41 million in FY2022.
- The Q2 2026 figure marks the highest quarterly Capital Expenditures in data going back to Q1 2022.
- Compared with a year earlier, Capital Expenditures has increased for seven straight quarters, with growth averaging 226.9% over the last eight quarters.
- The best year-over-year quarter for Capital Expenditures over five years was Q3 2025 (growth of 748.5%); the worst was Q1 2024 (a decline of 81.5%).
- Per Business Quant data, LUNR's Capital Expenditures in the three quarters before Q2 2026 was $9.88 million (Q1 2026), $15.65 million (Q4 2025) and $11.81 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 335.00 Mn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 669.00 Mn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 733.00 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 318.00 Mn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 104.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 234.00 Mn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 55.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 302.00 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 315.00 Mn |
| 10 | Intuitive Machines | 3.21 Bn | 2.60 Bn | 35.87 Mn | 24.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.07 Mn |
| Mar 31, 2026 | 9.88 Mn |
| Dec 31, 2025 | 15.65 Mn |
| Sep 30, 2025 | 11.81 Mn |
| Jun 30, 2025 | 8.05 Mn |
| Mar 31, 2025 | 6.12 Mn |
| Dec 31, 2024 | 4.93 Mn |
| Sep 30, 2024 | 1.39 Mn |
| Jun 30, 2024 | 2.21 Mn |
| Mar 31, 2024 | 1.59 Mn |
| Dec 31, 2023 | 2.24 Mn |
| Sep 30, 2023 | 7.47 Mn |
| Jun 30, 2023 | 11.64 Mn |
| Mar 31, 2023 | 8.57 Mn |
| Dec 31, 2022 | 4.26 Mn |
| Sep 30, 2022 | 6.75 Mn |
| Jun 30, 2022 | 5.03 Mn |
| Mar 31, 2022 | 377,000.00 |
API Access
Intuitive Machines Capital Expenditures 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=capital-expenditures&ticker=LUNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=LUNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();