Intuitive Machines (LUNR) Cost of Revenue (2022 - 2026)
Intuitive Machines' Cost of Revenue came in at $170.3 million for Q2 2026, up 174.0% from $62.16 million a year earlier and up 10.9% from the prior quarter.
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Analysis
Intuitive Machines (LUNR) Cost of Revenue (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Intuitive Machines reported Cost of Revenue of $406.89 million, up 79.8% year-over-year; for FY2025, it came in at $201.07 million, down 10.7% from FY2024.
- Cost of Revenue carries a three-year compound annual growth rate of 38.6% (FY2022 to FY2025).
- Going back by year, Cost of Revenue was $225.23 million in FY2024 (+124.2%), $100.47 million in FY2023 (+33.1%) and $75.51 million in FY2022.
- The Q2 2026 figure represents the highest quarterly Cost of Revenue in data going back to Q1 2022.
- Year-over-year, Cost of Revenue increased in five of the last eight quarters, with growth averaging 62.4%.
- The fastest year-over-year change in Cost of Revenue over five years came in Q1 2026 (growth of 174.9%), and the weakest in Q4 2025 (a decline of 32.8%).
- Business Quant data shows LUNR's Cost of Revenue at $153.52 million (Q1 2026), $36.3 million (Q4 2025) and $46.77 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 8.67 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 19.58 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 22.15 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 17.62 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 1.60 Bn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 11.91 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 1.46 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 8.76 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 6.07 Bn |
| 10 | Intuitive Machines | 3.32 Bn | 2.71 Bn | 35.87 Mn | 170.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 170.30 Mn |
| Mar 31, 2026 | 153.52 Mn |
| Dec 31, 2025 | 36.30 Mn |
| Sep 30, 2025 | 46.77 Mn |
| Jun 30, 2025 | 62.16 Mn |
| Mar 31, 2025 | 55.85 Mn |
| Dec 31, 2024 | 53.98 Mn |
| Sep 30, 2024 | 54.36 Mn |
| Jun 30, 2024 | 57.10 Mn |
| Mar 31, 2024 | 60.91 Mn |
| Dec 31, 2023 | 29.10 Mn |
| Sep 30, 2023 | 25.77 Mn |
| Jun 30, 2023 | 22.48 Mn |
| Mar 31, 2023 | 23.13 Mn |
| Dec 31, 2022 | 20.83 Mn |
| Sep 30, 2022 | 17.29 Mn |
| Jun 30, 2022 | 17.66 Mn |
| Mar 31, 2022 | 19.74 Mn |
API Access
Intuitive Machines Cost of 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=cost-of-revenue&ticker=LUNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=LUNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();