Intuitive Machines (LUNR) Total Current Liabilities (2021 - 2026)
Intuitive Machines' Total Current Liabilities was $399.83 million in Q2 2026, up 272.6% from $107.3 million a year earlier but down 3.8% from the prior quarter.
Powered by 
Analysis
Intuitive Machines (LUNR) Total Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Intuitive Machines came in at $124.83 million, up 26.3% from FY2024.
- Total Current Liabilities shows a four-year compound annual growth rate of 388.4% (FY2021 to FY2025).
- In earlier years, Total Current Liabilities was $98.83 million in FY2024 (+21.2%), $81.53 million in FY2023 (-5.3%), $86.07 million in FY2022 and $219,453 in FY2021.
- Quarterly Total Current Liabilities has moved between $91,500 (Q3 2021) and $415.46 million (Q1 2026) over five years.
- Compared with a year earlier, Total Current Liabilities has increased for five straight quarters, with growth averaging 84.0% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q1 2026 (growth of 323.3%); the worst was Q2 2024 (a decline of 21.7%).
- Per Business Quant data, LUNR's Total Current Liabilities in the three quarters before Q2 2026 was $415.46 million (Q1 2026), $124.83 million (Q4 2025) and $106.02 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 40.43 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 63.25 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 109.56 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 23.81 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 2.31 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 18.77 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 5.58 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 13.35 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 23.19 Bn |
| 10 | Intuitive Machines | 3.21 Bn | 2.60 Bn | 35.87 Mn | 399.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 399.83 Mn |
| Mar 31, 2026 | 415.46 Mn |
| Dec 31, 2025 | 124.83 Mn |
| Sep 30, 2025 | 106.02 Mn |
| Jun 30, 2025 | 107.30 Mn |
| Mar 31, 2025 | 98.15 Mn |
| Dec 31, 2024 | 98.83 Mn |
| Sep 30, 2024 | 95.31 Mn |
| Jun 30, 2024 | 85.01 Mn |
| Mar 31, 2024 | 104.81 Mn |
| Dec 31, 2023 | 81.53 Mn |
| Sep 30, 2023 | 97.66 Mn |
| Jun 30, 2023 | 108.58 Mn |
| Mar 31, 2023 | 108.06 Mn |
| Dec 31, 2022 | 86.07 Mn |
| Sep 30, 2022 | 2.47 Mn |
| Jun 30, 2022 | 575,561.00 |
| Mar 31, 2022 | 296,619.00 |
| Dec 31, 2021 | 219,453.00 |
| Sep 30, 2021 | 91,500.00 |
API Access
Intuitive Machines Total Current Liabilities 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=total-current-liabilities&ticker=LUNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=LUNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();