Intuitive Machines (LUNR) Payables (2021 - 2026)
Intuitive Machines' Payables came in at $67.47 million for Q2 2026, up 155.5% from $26.4 million a year earlier but down 26.5% from the prior quarter.
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Analysis
Intuitive Machines (LUNR) Payables (2021 - 2026) Analysis & Trends
At the end of FY2025, Intuitive Machines' Payables was $23.92 million, up 19.0% from FY2024.
- Payables carries a four-year compound annual growth rate of 223.5% (FY2021 to FY2025).
- Going back by year, Payables was $20.1 million in FY2024 (-10.9%), $22.56 million in FY2023 (+510.3%), $3.7 million in FY2022 and $218,421 in FY2021.
- The five-year range for quarterly Payables is $87,000 (Q3 2021) to $91.74 million (Q1 2026).
- Year-over-year, Payables has increased for three consecutive quarters, with growth averaging 131.8% over the last eight quarters.
- The fastest year-over-year change in Payables over five years came in Q3 2024 (growth of 757.8%), and the weakest in Q1 2025 (a decline of 48.2%).
- Business Quant data shows LUNR's Payables at $91.74 million (Q1 2026), $23.92 million (Q4 2025) and $17.95 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 10.82 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 17.23 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 14.35 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 4.92 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 1.60 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 2.87 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 1.57 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 2.90 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 8.89 Bn |
| 10 | Intuitive Machines | 3.21 Bn | 2.60 Bn | 35.87 Mn | 67.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 67.47 Mn |
| Mar 31, 2026 | 91.74 Mn |
| Dec 31, 2025 | 23.92 Mn |
| Sep 30, 2025 | 17.95 Mn |
| Jun 30, 2025 | 26.40 Mn |
| Mar 31, 2025 | 28.67 Mn |
| Dec 31, 2024 | 20.10 Mn |
| Sep 30, 2024 | 24.99 Mn |
| Jun 30, 2024 | 29.67 Mn |
| Mar 31, 2024 | 55.33 Mn |
| Dec 31, 2023 | 22.56 Mn |
| Sep 30, 2023 | 2.91 Mn |
| Jun 30, 2023 | 17.06 Mn |
| Mar 31, 2023 | 18.87 Mn |
| Dec 31, 2022 | 3.70 Mn |
| Sep 30, 2022 | 2.24 Mn |
| Jun 30, 2022 | 548,061.00 |
| Mar 31, 2022 | 296,619.00 |
| Dec 31, 2021 | 218,421.00 |
| Sep 30, 2021 | 87,000.00 |
API Access
Intuitive Machines Payables 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=payables&ticker=LUNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=LUNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();