Intuitive Machines (LUNR) Current Assets (2021 - 2026)
Intuitive Machines' Current Assets was $662.82 million in Q2 2026, up 67.1% from $396.75 million a year earlier and up 31.2% from the prior quarter.
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Analysis
Intuitive Machines (LUNR) Current Assets (2021 - 2026) Analysis & Trends
At the end of FY2025, Current Assets at Intuitive Machines came in at $618.81 million, up 111.1% from FY2024.
- Current Assets shows a four-year compound annual growth rate of 421.7% (FY2021 to FY2025).
- In earlier years, Current Assets was $293.16 million in FY2024 (+827.4%), $31.61 million in FY2023 (-22.9%), $40.99 million in FY2022 and $835,142 in FY2021.
- Quarterly Current Assets has moved between $477,289 (Q3 2022) and $665.98 million (Q3 2025) over five years.
- Compared with a year earlier, Current Assets has increased for ten straight quarters, with growth averaging 276.6% over the last eight quarters.
- The best year-over-year quarter for Current Assets over five years was Q4 2024 (growth of 827.4%); the worst was Q3 2022 (a decline of 57.1%).
- Per Business Quant data, LUNR's Current Assets in the three quarters before Q2 2026 was $505.28 million (Q1 2026), $618.81 million (Q4 2025) and $665.98 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 39.70 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 63.91 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 124.63 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 28.40 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 4.19 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 27.04 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 6.13 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 15.59 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 28.08 Bn |
| 10 | Intuitive Machines | 3.21 Bn | 2.60 Bn | 35.87 Mn | 662.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 662.82 Mn |
| Mar 31, 2026 | 505.28 Mn |
| Dec 31, 2025 | 618.81 Mn |
| Sep 30, 2025 | 665.98 Mn |
| Jun 30, 2025 | 396.75 Mn |
| Mar 31, 2025 | 431.31 Mn |
| Dec 31, 2024 | 293.16 Mn |
| Sep 30, 2024 | 168.27 Mn |
| Jun 30, 2024 | 83.11 Mn |
| Mar 31, 2024 | 115.73 Mn |
| Dec 31, 2023 | 31.61 Mn |
| Sep 30, 2023 | 48.89 Mn |
| Jun 30, 2023 | 50.52 Mn |
| Mar 31, 2023 | 65.60 Mn |
| Dec 31, 2022 | 40.99 Mn |
| Sep 30, 2022 | 477,289.00 |
| Jun 30, 2022 | 489,043.00 |
| Mar 31, 2022 | 675,167.00 |
| Dec 31, 2021 | 835,142.00 |
| Sep 30, 2021 | 1.11 Mn |
API Access
Intuitive Machines 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=current-assets&ticker=LUNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=current-assets&ticker=LUNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();