Intuitive Machines (LUNR) Accounts Payables (2021 - 2026)
Intuitive Machines (LUNR) recorded Accounts Payables of $67.47 million in 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) Accounts Payables (2021 - 2026) Analysis & Trends
At the end of FY2025, Intuitive Machines reported Accounts Payables of $23.92 million, up 19.0% from FY2024.
- Annual Accounts Payables has a four-year compound annual growth rate of 223.5% (FY2021 to FY2025).
- Across earlier years, Accounts Payables came in at $20.1 million in FY2024 (-10.9%), $22.56 million in FY2023 (+510.3%), $3.7 million in FY2022 and $218,421 in FY2021.
- Quarterly Accounts Payables has ranged from $87,000 in Q3 2021 to $91.74 million in Q1 2026 over the past five years.
- On a year-over-year basis, Accounts Payables has increased for three consecutive quarters, with growth averaging 131.8% over the last eight quarters.
- Peak year-over-year performance for Accounts Payables in the last five years was growth of 757.8% in Q3 2024, against a decline of 48.2% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $91.74 million (Q1 2026), $23.92 million (Q4 2025) and $17.95 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts 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 | 17.00 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 | 1.15 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 | 957.00 Mn |
| 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 | 6.39 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 Accounts 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=accounts-payables&ticker=LUNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-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=accounts-payables&ticker=LUNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();