Intuitive Machines (LUNR) Receivables (2022 - 2026)
Intuitive Machines (LUNR) reported Receivables of $170.66 million for Q2 2026, up 279.2% from $45.01 million a year earlier and up 11.0% from the prior quarter.
Intuitive Machines (LUNR) Receivables (2022 - 2026) Analysis & Trends
At the end of FY2025, Intuitive Machines posted Receivables of $24.43 million, down 69.2% from FY2024.
- Receivables has a three-year compound annual growth rate of 43.4% (FY2022 to FY2025).
- By year, Receivables came in at $79.35 million in FY2024 (+230.5%), $24.01 million in FY2023 (+189.9%) and $8.28 million in FY2022.
- The Q2 2026 figure ranks as the highest quarterly Receivables in data going back to Q4 2022.
- Year over year, Receivables gained in three of the last seven quarters, with growth averaging 82.9%.
- The high point for year-over-year Receivables in five years was Q2 2024 (growth of 553.5%); the low point was Q4 2025 (a decline of 69.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $153.81 million (Q1 2026), $24.43 million (Q4 2025) and $33.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 315.57 Bn | 274.09 Bn | 5.02 Bn | 17.55 Bn |
| 2 | Rtx | 272.54 Bn | 240.80 Bn | 5.81 Bn | 33.38 Bn |
| 3 | Lockheed Martin | 147.89 Bn | 132.12 Bn | 2.44 Bn | 20.00 Bn |
| 4 | Boeing | 135.96 Bn | 44.92 Bn | 2.17 Bn | 14.25 Bn |
| 5 | General Dynamics | 101.87 Bn | 88.98 Bn | 2.18 Bn | 48.50 Bn |
| 6 | Motorola Solutions | 81.60 Bn | 77.95 Bn | 1.68 Bn | 3.62 Bn |
| 7 | Howmet Aerospace | 80.08 Bn | 75.83 Bn | 1.00 Bn | 1.12 Bn |
| 8 | Northrop Grumman | 79.95 Bn | 67.41 Bn | 2.35 Bn | 9.98 Bn |
| 9 | Honeywell International | 70.19 Bn | 70.19 Bn | - | - |
| 10 | Intuitive Machines | 1.74 Bn | -68.38 Mn | 35.87 Mn | 170.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 170.66 Mn |
| Mar 31, 2026 | 153.81 Mn |
| Dec 31, 2025 | 24.43 Mn |
| Sep 30, 2025 | 33.50 Mn |
| Jun 30, 2025 | 45.01 Mn |
| Mar 31, 2025 | 50.86 Mn |
| Dec 31, 2024 | 79.35 Mn |
| Sep 30, 2024 | 72.88 Mn |
| Jun 30, 2024 | 45.59 Mn |
| Mar 31, 2024 | 55.07 Mn |
| Dec 31, 2023 | 24.01 Mn |
| Sep 30, 2023 | 4.46 Mn |
| Jun 30, 2023 | 6.98 Mn |
| Mar 31, 2023 | 14.01 Mn |
| Dec 31, 2022 | 8.28 Mn |
Intuitive Machines Receivables 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=receivables&ticker=LUNR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=LUNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();