Intuitive Machines (LUNR) Shares Outstanding (Diluted) (2021 - 2026)
Intuitive Machines (LUNR) recorded Shares Outstanding (Diluted) of 162.17 million in Q2 2026, up 38.1% from 117.43 million a year earlier and up 9.7% from the prior quarter.
Intuitive Machines (LUNR) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Intuitive Machines reported Shares Outstanding (Diluted) of 115.43 million, up 88.0% from FY2024.
- Annual Shares Outstanding (Diluted) has a four-year compound annual growth rate of 61.9% (FY2021 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 61.41 million in FY2024 (+140.2%), 25.56 million in FY2023 (-38.0%), 41.22 million in FY2022 (+145.2%) and 16.81 million in FY2021.
- The Q2 2026 figure is the highest quarterly Shares Outstanding (Diluted) in data going back to Q3 2021.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for ten consecutive quarters, with growth averaging 102.2% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 237.1% in Q3 2022, against a decline of 41.2% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 147.88 million (Q1 2026), 115.43 million (Q4 2025) and 117.82 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | 1.04 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 1.37 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | 792.90 Mn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | 231.50 Mn |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 273.78 Mn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 167.40 Mn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | 400.00 Mn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | 142.40 Mn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 319.20 Mn |
| 10 | Intuitive Machines | 1.70 Bn | -104.87 Mn | 35.87 Mn | 162.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 162.17 Mn |
| Mar 31, 2026 | 147.88 Mn |
| Dec 31, 2025 | 115.43 Mn |
| Sep 30, 2025 | 117.82 Mn |
| Jun 30, 2025 | 117.43 Mn |
| Mar 31, 2025 | 107.08 Mn |
| Dec 31, 2024 | 61.41 Mn |
| Sep 30, 2024 | 67.07 Mn |
| Jun 30, 2024 | 62.28 Mn |
| Mar 31, 2024 | 36.61 Mn |
| Dec 31, 2023 | 25.56 Mn |
| Sep 30, 2023 | 26.13 Mn |
| Jun 30, 2023 | 19.38 Mn |
| Mar 31, 2023 | 15.22 Mn |
| Dec 31, 2022 | 41.22 Mn |
| Sep 30, 2022 | 32.98 Mn |
| Jun 30, 2022 | 32.98 Mn |
| Mar 31, 2022 | 16.81 Mn |
| Dec 31, 2021 | 16.81 Mn |
| Sep 30, 2021 | 9.78 Mn |
Intuitive Machines Shares Outstanding (Diluted) 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-diluted&ticker=LUNR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=LUNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();