Intuitive Machines (LUNR) Property, Plant & Equipment (Net) (2022 - 2026)
Intuitive Machines' Property, Plant & Equipment (Net) was $264.63 million in Q2 2026, up 551.7% from $40.61 million a year earlier and up 8.4% from the prior quarter.
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Analysis
Intuitive Machines (LUNR) Property, Plant & Equipment (Net) (2022 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Intuitive Machines came in at $68.55 million, up 193.4% from FY2024.
- Property, Plant & Equipment (Net) shows a three-year compound annual growth rate of 47.9% (FY2022 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $23.36 million in FY2024 (+27.3%), $18.35 million in FY2023 (-13.4%) and $21.18 million in FY2022.
- The Q2 2026 figure marks the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2022.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for seven straight quarters, with growth averaging 227.7% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q1 2026 (growth of 719.7%); the worst was Q2 2024 (a decline of 47.7%).
- Per Business Quant data, LUNR's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $244.22 million (Q1 2026), $68.55 million (Q4 2025) and $49.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | 8.33 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 17.24 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | 16.69 Bn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | 11.52 Bn |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 7.85 Bn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 1.20 Bn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | 2.91 Bn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | 10.46 Bn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 2.71 Bn |
| 10 | Intuitive Machines | 1.70 Bn | -104.87 Mn | 35.87 Mn | 264.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 264.63 Mn |
| Mar 31, 2026 | 244.22 Mn |
| Dec 31, 2025 | 68.55 Mn |
| Sep 30, 2025 | 49.47 Mn |
| Jun 30, 2025 | 40.61 Mn |
| Mar 31, 2025 | 29.79 Mn |
| Dec 31, 2024 | 23.36 Mn |
| Sep 30, 2024 | 17.17 Mn |
| Jun 30, 2024 | 21.31 Mn |
| Mar 31, 2024 | 19.52 Mn |
| Dec 31, 2023 | 18.35 Mn |
| Sep 30, 2023 | 17.50 Mn |
| Jun 30, 2023 | 40.76 Mn |
| Mar 31, 2023 | 29.45 Mn |
| Dec 31, 2022 | 21.18 Mn |
API Access
Intuitive Machines Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=LUNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=LUNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();