Intuitive Machines (LUNR) Pension (2026)
Intuitive Machines (LUNR) recorded Pension of $48.74 million in Q2 2026, down 6.3% from the prior quarter.
Analysis
Intuitive Machines (LUNR) Pension (2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 312.67 Bn | 271.19 Bn | 5.02 Bn |
| 2 | Rtx | 271.95 Bn | 240.22 Bn | 5.81 Bn |
| 3 | Lockheed Martin | 147.56 Bn | 131.79 Bn | 2.44 Bn |
| 4 | Boeing | 135.45 Bn | 44.41 Bn | 2.17 Bn |
| 5 | General Dynamics | 101.09 Bn | 88.20 Bn | 2.18 Bn |
| 6 | Motorola Solutions | 82.11 Bn | 78.45 Bn | 1.68 Bn |
| 7 | Howmet Aerospace | 79.95 Bn | 75.70 Bn | 1.00 Bn |
| 8 | Northrop Grumman | 79.73 Bn | 67.19 Bn | 2.35 Bn |
| 9 | Honeywell International | 70.01 Bn | 70.01 Bn | - |
| 10 | Intuitive Machines | 1.68 Bn | -118.66 Mn | 35.87 Mn |
API Access
Intuitive Machines Pension 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=pension&ticker=LUNR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=LUNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();