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 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 102.53 Bn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 86.00 Mn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 157.29 Bn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | 48.28 Bn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 6.90 Bn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 14.57 Bn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 14.44 Bn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 30.72 Bn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 52.22 Bn |
| 10 | Nauticus Robotics | 1.66 Mn | -14.88 Mn | -1.98 Mn | 30.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.75 Mn |
| Dec 31, 2025 | 35.58 Mn |
| Sep 30, 2025 | 46.90 Mn |
| Jun 30, 2025 | 46.66 Mn |
| Mar 31, 2025 | 46.06 Mn |
| Dec 31, 2024 | 42.19 Mn |
| Sep 30, 2024 | 91.54 Mn |
| Jun 30, 2024 | 122.65 Mn |
| Mar 31, 2024 | 142.19 Mn |
| Dec 31, 2023 | 49.56 Mn |
| Sep 30, 2023 | 44.51 Mn |
| Jun 30, 2023 | 32.36 Mn |
| Mar 31, 2023 | 27.41 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();