Nauticus Robotics (KITT) Total Non-Current Liabilities (2021 - 2026)
Nauticus Robotics' Total Non-Current Liabilities came in at $30.75 million for Q2 2026, down 34.1% from $46.66 million a year earlier.
Nauticus Robotics (KITT) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Nauticus Robotics' Total Non-Current Liabilities was $35.58 million, down 15.7% from FY2024.
- Total Non-Current Liabilities carries a four-year compound annual growth rate of 2.9% (FY2021 to FY2025).
- Going back by year, Total Non-Current Liabilities was $42.19 million in FY2024 (-14.9%), $49.56 million in FY2023 (+149.2%), $19.89 million in FY2022 (-37.4%) and $31.76 million in FY2021.
- The Q2 2026 figure represents the lowest quarterly Total Non-Current Liabilities since Q1 2023.
- Year-over-year, Total Non-Current Liabilities increased in 1 of the last seven quarters, with an average decline of 19.6%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2024 (growth of 418.8%), and the weakest in Q3 2022 (a decline of 88.3%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,943.02 Bn | 1,704.73 Bn | 9.10 Bn | 75.62 Bn |
| 2 | General Electric | 349.37 Bn | 308.11 Bn | 5.02 Bn | 95.58 Bn |
| 3 | Rtx | 270.29 Bn | 240.28 Bn | 5.81 Bn | 82.00 Mn |
| 4 | Lockheed Martin | 139.31 Bn | 123.54 Bn | 2.44 Bn | 48.98 Bn |
| 5 | Boeing | 137.40 Bn | 46.38 Bn | 2.17 Bn | 161.64 Bn |
| 6 | General Dynamics | 99.29 Bn | 84.52 Bn | 2.25 Bn | 14.09 Bn |
| 7 | Motorola Solutions | 87.28 Bn | 83.77 Bn | 1.77 Bn | 15.89 Bn |
| 8 | Howmet Aerospace | 87.15 Bn | 82.91 Bn | 1.00 Bn | 6.79 Bn |
| 9 | Northrop Grumman | 77.96 Bn | 65.41 Bn | 2.35 Bn | 31.46 Bn |
| 10 | Nauticus Robotics | 1.19 Mn | -17.98 Mn | -1.98 Mn | 30.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.24 Mn |
| Mar 31, 2026 | 34.91 Mn |
| Dec 31, 2025 | 35.58 Mn |
| Sep 30, 2025 | 46.90 Mn |
| Jun 30, 2025 | 46.51 Mn |
| Mar 31, 2025 | 45.92 Mn |
| Dec 31, 2024 | 42.00 Mn |
| Sep 30, 2024 | 91.54 Mn |
| Jun 30, 2024 | 122.65 Mn |
| Mar 31, 2024 | 142.19 Mn |
| Dec 31, 2023 | 49.18 Mn |
| Sep 30, 2023 | 42.87 Mn |
| Jun 30, 2023 | 30.68 Mn |
| Mar 31, 2023 | 25.75 Mn |
| Dec 31, 2022 | 19.89 Mn |
| Sep 30, 2022 | 19.58 Mn |
| Jun 30, 2022 | 182.71 Mn |
| Mar 31, 2022 | 178.94 Mn |
| Dec 31, 2021 | 31.76 Mn |
| Sep 30, 2021 | 167.92 Mn |
Nauticus Robotics Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=KITT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=KITT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();