Intuitive Machines (LUNR) Revenue (2022 - 2026)
Intuitive Machines' Revenue came in at $206.17 million for Q2 2026, up 309.8% from $50.31 million a year earlier and up 10.4% from the prior quarter.
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Analysis
Intuitive Machines (LUNR) Revenue (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Intuitive Machines reported Revenue of $490.12 million, up 116.9% year-over-year; for FY2025, it came in at $210.06 million, down 7.9% from FY2024.
- Revenue carries a three-year compound annual growth rate of 34.1% (FY2022 to FY2025).
- Going back by year, Revenue was $228 million in FY2024 (+186.6%), $79.55 million in FY2023 (-8.7%) and $87.11 million in FY2022.
- The Q2 2026 figure represents the highest quarterly Revenue in data going back to Q1 2022.
- Year-over-year, Revenue increased in five of the last eight quarters, with growth averaging 115.5%.
- The fastest year-over-year change in Revenue over five years came in Q3 2024 (growth of 359.3%), and the weakest in Q4 2023 (a decline of 21.9%).
- Business Quant data shows LUNR's Revenue at $186.73 million (Q1 2026), $44.79 million (Q4 2025) and $52.44 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 13.35 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 24.71 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 24.56 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 20.06 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 2.55 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 14.09 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 3.13 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 10.88 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 9.72 Bn |
| 10 | Intuitive Machines | 3.21 Bn | 2.60 Bn | 35.87 Mn | 206.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 206.17 Mn |
| Mar 31, 2026 | 186.73 Mn |
| Dec 31, 2025 | 44.79 Mn |
| Sep 30, 2025 | 52.44 Mn |
| Jun 30, 2025 | 50.31 Mn |
| Mar 31, 2025 | 62.52 Mn |
| Dec 31, 2024 | 54.66 Mn |
| Sep 30, 2024 | 58.48 Mn |
| Jun 30, 2024 | 41.64 Mn |
| Mar 31, 2024 | 73.22 Mn |
| Dec 31, 2023 | 30.59 Mn |
| Sep 30, 2023 | 12.73 Mn |
| Jun 30, 2023 | 17.99 Mn |
| Mar 31, 2023 | 18.24 Mn |
| Dec 31, 2022 | 39.15 Mn |
| Sep 30, 2022 | 10.27 Mn |
| Jun 30, 2022 | 19.22 Mn |
| Mar 31, 2022 | 18.47 Mn |
API Access
Intuitive Machines Revenue 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=revenue&ticker=LUNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=LUNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();