Intuitive Machines (LUNR) Other Non-Current Assets (2021 - 2026)
Intuitive Machines' Other Non-Current Assets was $11.67 million in Q2 2026, up 471.4% from $2.04 million a year earlier but down 0.6% from the prior quarter.
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Analysis
Intuitive Machines (LUNR) Other Non-Current Assets (2021 - 2026) Analysis & Trends
At the end of FY2025, Other Non-Current Assets at Intuitive Machines came in at $1.28 million, down 37.5% from FY2024.
- Other Non-Current Assets shows a four-year compound annual growth rate of 40.7% (FY2021 to FY2025).
- In earlier years, Other Non-Current Assets was $2.04 million in FY2024, $62,000 in FY2023 (unchanged), $62,000 in FY2022 (-81.0%) and $326,032 in FY2021.
- Quarterly Other Non-Current Assets has moved between $62,000 (Q1 2022) and $11.74 million (Q1 2026) over five years.
- Compared with a year earlier, Other Non-Current Assets was higher in two of the last six quarters, with growth averaging 151.5%.
- The best year-over-year quarter for Other Non-Current Assets over five years was Q1 2026 (growth of 475.0%); the worst was Q3 2022 (a decline of 85.9%).
- Per Business Quant data, LUNR's Other Non-Current Assets in the three quarters before Q2 2026 was $11.74 million (Q1 2026), $1.28 million (Q4 2025) and $2.04 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 340.78 Bn | 299.30 Bn | 5.02 Bn | 16.62 Bn |
| 2 | Rtx | 267.55 Bn | 235.82 Bn | 5.81 Bn | 6.02 Bn |
| 3 | Boeing | 140.36 Bn | 49.32 Bn | 2.17 Bn | 4.23 Bn |
| 4 | Lockheed Martin | 137.26 Bn | 121.49 Bn | 2.44 Bn | 7.13 Bn |
| 5 | General Dynamics | 98.47 Bn | 83.71 Bn | 2.25 Bn | 3.40 Bn |
| 6 | Howmet Aerospace | 84.81 Bn | 80.56 Bn | 1.00 Bn | 250.00 Mn |
| 7 | Motorola Solutions | 81.93 Bn | 78.28 Bn | 1.68 Bn | 505.00 Mn |
| 8 | Northrop Grumman | 74.86 Bn | 62.32 Bn | 2.35 Bn | 1.50 Bn |
| 9 | Honeywell International | 72.51 Bn | 32.02 Bn | 2.02 Bn | 4.49 Bn |
| 10 | Intuitive Machines | 1.60 Bn | -203.80 Mn | 35.87 Mn | 12.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.60 Mn |
| Mar 31, 2026 | 12.58 Mn |
| Dec 31, 2025 | 1.28 Mn |
| Sep 30, 2025 | 3.28 Mn |
| Jun 30, 2025 | 2.04 Mn |
| Mar 31, 2025 | 2.04 Mn |
| Dec 31, 2024 | 2.04 Mn |
| Sep 30, 2024 | 2.04 Mn |
| Jun 30, 2024 | 2.04 Mn |
| Mar 31, 2024 | 2.04 Mn |
| Dec 31, 2023 | 62,000.00 |
| Sep 30, 2023 | 62,000.00 |
| Jun 30, 2023 | 62,000.00 |
| Mar 31, 2023 | 62,000.00 |
| Dec 31, 2022 | 62,000.00 |
| Sep 30, 2022 | 62,000.00 |
| Jun 30, 2022 | 62,000.00 |
| Mar 31, 2022 | 62,000.00 |
| Dec 31, 2021 | 326,032.00 |
| Sep 30, 2021 | 439,220.00 |
API Access
Intuitive Machines Other Non-Current Assets 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-non-current-assets&ticker=LUNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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-non-current-assets&ticker=LUNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();