Intuitive Machines (LUNR) Short term Debt (2022 - 2024)
Intuitive Machines (LUNR) recorded Short term Debt of $3 million in Q2 2024, down 85.0% from $19.98 million a year earlier and down 62.5% from the prior quarter.
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Analysis
Intuitive Machines (LUNR) Short term Debt (2022 - 2024) Analysis & Trends
At the end of FY2023, Intuitive Machines reported Short term Debt of $8 million, down 50.3% from FY2022.
- Across earlier years, Short term Debt came in at $16.1 million in FY2022.
- On a year-over-year basis, Short term Debt has declined for three consecutive quarters.
- Per Business Quant, the preceding three quarters came in at $8 million (Q1 2024), $8 million (Q4 2023) and $19.98 million (Q3 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 311.41 Bn | 269.93 Bn | 5.02 Bn |
| 2 | Rtx | 270.60 Bn | 238.87 Bn | 5.81 Bn |
| 3 | Lockheed Martin | 147.27 Bn | 131.51 Bn | 2.44 Bn |
| 4 | Boeing | 135.84 Bn | 44.80 Bn | 2.17 Bn |
| 5 | General Dynamics | 100.63 Bn | 87.75 Bn | 2.18 Bn |
| 6 | Motorola Solutions | 81.53 Bn | 77.88 Bn | 1.68 Bn |
| 7 | Northrop Grumman | 79.44 Bn | 66.89 Bn | 2.35 Bn |
| 8 | Howmet Aerospace | 79.38 Bn | 75.14 Bn | 1.00 Bn |
| 9 | Honeywell International | 69.24 Bn | 69.24 Bn | - |
| 10 | Intuitive Machines | 1.73 Bn | -77.30 Mn | 35.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 3.00 Mn |
| Mar 31, 2024 | 8.00 Mn |
| Dec 31, 2023 | 8.00 Mn |
| Sep 30, 2023 | 19.98 Mn |
| Jun 30, 2023 | 19.98 Mn |
| Mar 31, 2023 | 16.10 Mn |
| Dec 31, 2022 | 16.10 Mn |
API Access
Intuitive Machines Short term Debt 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=short-term-debt&ticker=LUNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=LUNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();