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 | 321.31 Bn | 275.31 Bn | 4.68 Bn | 8.14 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 16.97 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 16.32 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 11.39 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 2.82 Bn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 7.58 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 1.17 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 10.30 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 4.59 Bn |
| 10 | Intuitive Machines | 3.32 Bn | 2.71 Bn | 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();