Intuitive Machines (LUNR) Selling, General & Administrative (2022 - 2026)
Intuitive Machines' Selling, General & Administrative was $60.35 million in Q2 2026, up 287.2% from $15.58 million a year earlier and up 19.1% from the prior quarter.
Intuitive Machines (LUNR) Selling, General & Administrative (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Intuitive Machines' Selling, General & Administrative was $171.47 million through Jun 30, 2026, up 202.6% year-over-year; for FY2025, it came in at $92.62 million, up 73.9% from FY2024.
- Selling, General & Administrative has now increased for three consecutive years, with a three-year compound annual growth rate of 80.4% (FY2022 to FY2025).
- In earlier years, Selling, General & Administrative was $53.26 million in FY2024 (+55.1%), $34.34 million in FY2023 (+117.7%) and $15.77 million in FY2022.
- The Q2 2026 figure marks the highest quarterly Selling, General & Administrative in data going back to Q1 2022.
- Compared with a year earlier, Selling, General & Administrative has increased for five straight quarters, with growth averaging 119.0% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q2 2026 (growth of 287.2%); the worst was Q1 2025 (a decline of 7.1%).
- Per Business Quant data, LUNR's Selling, General & Administrative in the three quarters before Q2 2026 was $50.67 million (Q1 2026), $40.18 million (Q4 2025) and $20.27 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | 1.11 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 1.92 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | 1.20 Bn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | - |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 722.00 Mn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 504.00 Mn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | 120.00 Mn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | 1.08 Bn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 1.04 Bn |
| 10 | Intuitive Machines | 1.70 Bn | -104.87 Mn | 35.87 Mn | 60.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.35 Mn |
| Mar 31, 2026 | 50.67 Mn |
| Dec 31, 2025 | 40.18 Mn |
| Sep 30, 2025 | 20.27 Mn |
| Jun 30, 2025 | 15.58 Mn |
| Mar 31, 2025 | 15.22 Mn |
| Dec 31, 2024 | 13.54 Mn |
| Sep 30, 2024 | 12.32 Mn |
| Jun 30, 2024 | 11.03 Mn |
| Mar 31, 2024 | 16.38 Mn |
| Dec 31, 2023 | 6.38 Mn |
| Sep 30, 2023 | 9.91 Mn |
| Jun 30, 2023 | 8.78 Mn |
| Mar 31, 2023 | 9.26 Mn |
| Dec 31, 2022 | 4.77 Mn |
| Sep 30, 2022 | 4.51 Mn |
| Jun 30, 2022 | 3.52 Mn |
| Mar 31, 2022 | 2.98 Mn |
Intuitive Machines Selling, General & Administrative 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=selling-general-and-administrative&ticker=LUNR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LUNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();