Nauticus Robotics (KITT) Other Operating Expenses (2020 - 2026)
Nauticus Robotics' Other Operating Expenses came in at $2.92 million for Q2 2026.
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Analysis
Nauticus Robotics (KITT) Other Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Nauticus Robotics reported Other Operating Expenses of $6.94 million; for FY2025, it came in at $12.49 million.
- Other Operating Expenses carries a five-year compound annual growth rate of 559.6% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was -$18,721 in FY2024, -$453,162 in FY2023 and $97,200 in FY2021.
- The Q2 2026 figure represents the lowest quarterly Other Operating Expenses since Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,943.02 Bn | 1,704.73 Bn | 9.10 Bn |
| 2 | General Electric | 349.37 Bn | 308.11 Bn | 5.02 Bn |
| 3 | Rtx | 270.29 Bn | 240.28 Bn | 5.81 Bn |
| 4 | Lockheed Martin | 139.31 Bn | 123.54 Bn | 2.44 Bn |
| 5 | Boeing | 137.40 Bn | 46.38 Bn | 2.17 Bn |
| 6 | General Dynamics | 99.29 Bn | 84.52 Bn | 2.25 Bn |
| 7 | Motorola Solutions | 87.28 Bn | 83.77 Bn | 1.77 Bn |
| 8 | Howmet Aerospace | 87.15 Bn | 82.91 Bn | 1.00 Bn |
| 9 | Northrop Grumman | 77.96 Bn | 65.41 Bn | 2.35 Bn |
| 10 | Nauticus Robotics | 1.19 Mn | -17.98 Mn | -1.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.92 Mn |
| Mar 31, 2026 | 2.04 Mn |
| Dec 31, 2025 | 4.03 Mn |
| Dec 31, 2024 | -42,618.00 |
| Jun 30, 2024 | 8,532.00 |
| Mar 31, 2024 | 15,365.00 |
| Dec 31, 2023 | -453,162.00 |
| Dec 31, 2022 | 3.81 Mn |
| Sep 30, 2022 | 3.92 Mn |
| Jun 30, 2022 | 76,033.00 |
| Mar 31, 2022 | 20,728.00 |
| Dec 31, 2021 | 73,166.00 |
| Sep 30, 2021 | 24,034.00 |
| Sep 30, 2020 | 1,000.00 |
API Access
Nauticus Robotics Other Operating Expenses 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=other-operating-expenses&ticker=KITT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "KITT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=KITT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();