Intuitive Machines (LUNR) Tax Provisions (2022 - 2026)
Intuitive Machines (LUNR) reported Tax Provisions of $8,000 for Q2 2026, up 300.0% from the prior quarter.
Intuitive Machines (LUNR) Tax Provisions (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Intuitive Machines' Tax Provisions came in at $3.97 million; for FY2025, it came in at $3.96 million.
- By year, Tax Provisions came in at $37,000 in FY2024 (-7.5%), $40,000 in FY2023 and -$23,000 in FY2022.
- Five-year quarterly Tax Provisions spans a low of -$3.53 million in Q2 2023 and a high of $3.96 million in Q4 2025.
- Per Business Quant data, the three quarters before Q2 2026 came in at $2,000 (Q1 2026), $3.96 million (Q4 2025) and $5,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 407.00 Mn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 493.00 Mn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 63.00 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 342.00 Mn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 115.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 247.00 Mn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 184.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 74.00 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 1.58 Bn |
| 10 | Intuitive Machines | 3.21 Bn | 2.60 Bn | 35.87 Mn | 8,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8,000.00 |
| Mar 31, 2026 | 2,000.00 |
| Dec 31, 2025 | 3.96 Mn |
| Sep 30, 2025 | 5,000.00 |
| Dec 31, 2024 | -13,000.00 |
| Sep 30, 2024 | 50,000.00 |
| Dec 31, 2023 | -252,000.00 |
| Sep 30, 2023 | 605,000.00 |
| Jun 30, 2023 | -3.53 Mn |
| Mar 31, 2023 | 3.22 Mn |
| Dec 31, 2022 | 2,000.00 |
| Sep 30, 2022 | -380,000.00 |
| Jun 30, 2022 | 400,000.00 |
| Mar 31, 2022 | 1,000.00 |
Intuitive Machines Tax Provisions 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=tax-provisions&ticker=LUNR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=LUNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();