Intuitive Machines (LUNR) Shares Outstanding (Entity) (2021 - 2026)
Intuitive Machines (LUNR) reported Shares Outstanding (Entity) of 225.38 million for Q2 2026, up 24.6% from 180.91 million a year earlier and up 2.9% from the prior quarter.
Intuitive Machines (LUNR) Shares Outstanding (Entity) (2021 - 2026) Analysis & Trends
For FY2025, Intuitive Machines posted Shares Outstanding (Entity) of 182.1 million, up 15.8% from FY2024.
- Shares Outstanding (Entity) has increased for four consecutive years, with a four-year compound annual growth rate of 110.2% (FY2021 to FY2025).
- By year, Shares Outstanding (Entity) came in at 157.25 million in FY2024 (+71.0%), 91.94 million in FY2023 (+123.1%), 41.22 million in FY2022 (+342.1%) and 9.32 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Entity) in data going back to Q3 2021.
- Year over year, Shares Outstanding (Entity) has now increased in each of the last 16 quarters, with growth averaging 37.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Entity) ran from 15.8% in Q4 2025 to 377.9% in Q3 2022.
- Per Business Quant data, the three quarters before Q2 2026 came in at 219.01 million (Q1 2026), 182.1 million (Q4 2025) and 180.97 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 1.04 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 1.35 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 790.37 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 230.79 Mn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 400.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 270.56 Mn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 165.50 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 142.06 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 316.94 Mn |
| 10 | Intuitive Machines | 3.21 Bn | 2.60 Bn | 35.87 Mn | 225.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 225.38 Mn |
| Mar 31, 2026 | 219.01 Mn |
| Dec 31, 2025 | 182.10 Mn |
| Sep 30, 2025 | 180.97 Mn |
| Jun 30, 2025 | 180.91 Mn |
| Mar 31, 2025 | 180.63 Mn |
| Dec 31, 2024 | 157.25 Mn |
| Sep 30, 2024 | 141.60 Mn |
| Jun 30, 2024 | 128.58 Mn |
| Mar 31, 2024 | 122.16 Mn |
| Dec 31, 2023 | 91.94 Mn |
| Sep 30, 2023 | 93.15 Mn |
| Jun 30, 2023 | 86.71 Mn |
| Mar 31, 2023 | 84.17 Mn |
| Dec 31, 2022 | 41.22 Mn |
| Sep 30, 2022 | 41.22 Mn |
| Jun 30, 2022 | 32.98 Mn |
| Mar 31, 2022 | 32.98 Mn |
| Dec 31, 2021 | 9.32 Mn |
| Sep 30, 2021 | 8.63 Mn |
Intuitive Machines Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=LUNR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=LUNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();