Intuitive Machines (LUNR) Cash & Equivalents (2021 - 2026)
Intuitive Machines (LUNR) posted Cash & Equivalents of $367.4 million for Q2 2026, up 6.5% from $344.9 million a year earlier and up 58.6% from the prior quarter.
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Analysis
Intuitive Machines (LUNR) Cash & Equivalents (2021 - 2026) Analysis & Trends
At the end of FY2025, Intuitive Machines' Cash & Equivalents came in at $582.61 million, up 180.6% from FY2024.
- Annual Cash & Equivalents shows a four-year compound annual growth rate of 534.4% (FY2021 to FY2025).
- In prior years, Intuitive Machines' Cash & Equivalents was $207.61 million in FY2024, $4.5 million in FY2023 (-82.5%), $25.76 million in FY2022 and $359,610 in FY2021.
- Quarterly Cash & Equivalents has run from a low of $359,610 in Q4 2021 to a high of $622 million in Q3 2025 over five years.
- On a year-over-year basis, Cash & Equivalents increased in six of the last seven quarters, with growth averaging 347.1%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q2 2025, with growth of 990.4%; the weakest was Q4 2023, with a decline of 82.5%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $231.62 million (Q1 2026), $582.61 million (Q4 2025) and $622 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 9.35 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 8.31 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 7.24 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 3.79 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 563.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 4.33 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 710.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 2.31 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 8.75 Bn |
| 10 | Intuitive Machines | 3.32 Bn | 2.71 Bn | 35.87 Mn | 367.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 367.40 Mn |
| Mar 31, 2026 | 231.62 Mn |
| Dec 31, 2025 | 582.61 Mn |
| Sep 30, 2025 | 622.00 Mn |
| Jun 30, 2025 | 344.90 Mn |
| Mar 31, 2025 | 373.25 Mn |
| Dec 31, 2024 | 207.61 Mn |
| Sep 30, 2024 | 89.61 Mn |
| Jun 30, 2024 | 31.63 Mn |
| Mar 31, 2024 | 55.24 Mn |
| Dec 31, 2023 | 4.50 Mn |
| Sep 30, 2023 | 40.65 Mn |
| Jun 30, 2023 | 39.09 Mn |
| Mar 31, 2023 | 46.80 Mn |
| Dec 31, 2022 | 25.76 Mn |
| Sep 30, 2022 | 8.95 Mn |
| Jun 30, 2022 | 20.60 Mn |
| Mar 31, 2022 | 9.05 Mn |
| Dec 31, 2021 | 359,610.00 |
| Sep 30, 2021 | 636,787.00 |
API Access
Intuitive Machines Cash & Equivalents 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=cash-and-equivalents&ticker=LUNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LUNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();