Intuitive Machines (LUNR) Preferred Stock Liabilities (2021 - 2026)
Intuitive Machines (LUNR) reported Preferred Stock Liabilities of $6.95 million for Q2 2026, up 10.4% from $6.29 million a year earlier and up 2.5% from the prior quarter.
Intuitive Machines (LUNR) Preferred Stock Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Intuitive Machines posted Preferred Stock Liabilities of $6.61 million, up 10.4% from FY2024.
- Preferred Stock Liabilities has a four-year compound annual growth rate of -62.0% (FY2021 to FY2025).
- By year, Preferred Stock Liabilities came in at $5.99 million in FY2024 (-78.8%), $28.2 million in FY2023 and $315.88 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Preferred Stock Liabilities since Q4 2023.
- Year over year, Preferred Stock Liabilities has now increased in each of the last six quarters, with an average decline of 11.9% over the last eight quarters.
- The high point for year-over-year Preferred Stock Liabilities in five years was Q3 2022 (growth of 11.1%); the low point was Q1 2023 (a decline of 91.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $6.78 million (Q1 2026), $6.61 million (Q4 2025) and $6.45 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Preferred Stock Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 325.23 Bn | 283.97 Bn | 5.02 Bn | - |
| 2 | Rtx | 259.01 Bn | 228.99 Bn | 5.81 Bn | - |
| 3 | Boeing | 136.65 Bn | 45.62 Bn | 2.17 Bn | - |
| 4 | Lockheed Martin | 133.14 Bn | 117.38 Bn | 2.44 Bn | - |
| 5 | General Dynamics | 96.29 Bn | 81.53 Bn | 2.25 Bn | - |
| 6 | Motorola Solutions | 85.48 Bn | 81.96 Bn | 1.77 Bn | - |
| 7 | Howmet Aerospace | 79.96 Bn | 75.71 Bn | 1.00 Bn | - |
| 8 | Northrop Grumman | 74.71 Bn | 62.17 Bn | 2.35 Bn | - |
| 9 | Honeywell International | 68.49 Bn | 28.24 Bn | 2.02 Bn | - |
| 10 | Intuitive Machines | 1.94 Bn | 1.33 Bn | 35.87 Mn | 6.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.95 Mn |
| Mar 31, 2026 | 6.78 Mn |
| Dec 31, 2025 | 6.61 Mn |
| Sep 30, 2025 | 6.45 Mn |
| Jun 30, 2025 | 6.29 Mn |
| Mar 31, 2025 | 6.14 Mn |
| Dec 31, 2024 | 5.99 Mn |
| Sep 30, 2024 | 5.84 Mn |
| Jun 30, 2024 | 5.70 Mn |
| Mar 31, 2024 | 5.56 Mn |
| Dec 31, 2023 | 28.20 Mn |
| Sep 30, 2023 | 27.51 Mn |
| Jun 30, 2023 | 26.82 Mn |
| Mar 31, 2023 | 26.16 Mn |
| Sep 30, 2022 | 317.87 Mn |
| Jun 30, 2022 | 316.38 Mn |
| Mar 31, 2022 | 315.88 Mn |
| Dec 31, 2021 | 315.88 Mn |
| Sep 30, 2021 | 286.13 Mn |
Intuitive Machines Preferred Stock 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=preferred-stock-liabilities&ticker=LUNR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "preferred-stock-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=preferred-stock-liabilities&ticker=LUNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();