Intuitive Machines (LUNR) Assets (2021 - 2026)
Intuitive Machines (LUNR) reported Assets of $1.89 billion for Q2 2026, up 296.8% from $475.64 million a year earlier and up 9.9% from the prior quarter.
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Analysis
Intuitive Machines (LUNR) Assets (2021 - 2026) Analysis & Trends
At the end of FY2025, Intuitive Machines posted Assets of $757.15 million, up 113.0% from FY2024.
- Assets has increased for three consecutive years, with a four-year compound annual growth rate of 23.0% (FY2021 to FY2025).
- By year, Assets came in at $355.4 million in FY2024 (+313.7%), $85.91 million in FY2023 (+28.2%), $67 million in FY2022 (-79.8%) and $330.92 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Assets in data going back to Q3 2021.
- Year over year, Assets has now increased in each of the last 11 quarters, with growth averaging 219.1% over the last eight quarters.
- The high point for year-over-year Assets in five years was Q4 2024 (growth of 313.7%); the low point was Q4 2022 (a decline of 79.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.72 billion (Q1 2026), $757.15 million (Q4 2025) and $753.53 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 127.67 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 173.97 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 165.87 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 62.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 13.25 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 60.16 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 19.24 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 50.76 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 77.34 Bn |
| 10 | Intuitive Machines | 3.21 Bn | 2.60 Bn | 35.87 Mn | 1.89 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.89 Bn |
| Mar 31, 2026 | 1.72 Bn |
| Dec 31, 2025 | 757.15 Mn |
| Sep 30, 2025 | 753.53 Mn |
| Jun 30, 2025 | 475.64 Mn |
| Mar 31, 2025 | 500.01 Mn |
| Dec 31, 2024 | 355.40 Mn |
| Sep 30, 2024 | 224.80 Mn |
| Jun 30, 2024 | 140.12 Mn |
| Mar 31, 2024 | 170.77 Mn |
| Dec 31, 2023 | 85.91 Mn |
| Sep 30, 2023 | 102.97 Mn |
| Jun 30, 2023 | 95.76 Mn |
| Mar 31, 2023 | 99.71 Mn |
| Dec 31, 2022 | 67.00 Mn |
| Sep 30, 2022 | 332.22 Mn |
| Jun 30, 2022 | 330.84 Mn |
| Mar 31, 2022 | 330.67 Mn |
| Dec 31, 2021 | 330.92 Mn |
| Sep 30, 2021 | 301.55 Mn |
API Access
Intuitive Machines 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=assets&ticker=LUNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=assets&ticker=LUNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();