Nauticus Robotics (KITT) Selling, General & Administrative (2021 - 2026)
Nauticus Robotics (KITT) recorded Selling, General & Administrative of $3.32 million in Q2 2026, down 24.8% from $4.42 million a year earlier.
Nauticus Robotics (KITT) Selling, General & Administrative (2021 - 2026) Analysis & Trends
On a TTM basis, Nauticus Robotics' Selling, General & Administrative came in at $13.39 million as of Jun 30, 2026, down 14.4% year-over-year; for FY2025, it came in at $14.32 million, up 5.5% from FY2024.
- Annual Selling, General & Administrative has a four-year compound annual growth rate of 34.6% (FY2021 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $13.57 million in FY2024 (-25.7%), $18.27 million in FY2023 (+21.5%), $15.04 million in FY2022 (+244.8%) and $4.36 million in FY2021.
- Quarterly Selling, General & Administrative has ranged from $770,066 in Q3 2021 to $6.7 million in Q3 2023 over the past five years.
- On a year-over-year basis, Selling, General & Administrative rose in four of the last seven quarters, with growth averaging 51.9%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 531.3% in Q3 2022, against a decline of 87.3% in Q4 2023 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,943.02 Bn | 1,704.73 Bn | 9.10 Bn | 1.71 Bn |
| 2 | General Electric | 349.37 Bn | 308.11 Bn | 5.02 Bn | 1.11 Bn |
| 3 | Rtx | 270.29 Bn | 240.28 Bn | 5.81 Bn | 1.92 Bn |
| 4 | Lockheed Martin | 139.31 Bn | 123.54 Bn | 2.44 Bn | - |
| 5 | Boeing | 137.40 Bn | 46.38 Bn | 2.17 Bn | 1.20 Bn |
| 6 | General Dynamics | 99.29 Bn | 84.52 Bn | 2.25 Bn | 722.00 Mn |
| 7 | Motorola Solutions | 87.28 Bn | 83.77 Bn | 1.77 Bn | 504.00 Mn |
| 8 | Howmet Aerospace | 87.15 Bn | 82.91 Bn | 1.00 Bn | 120.00 Mn |
| 9 | Northrop Grumman | 77.96 Bn | 65.41 Bn | 2.35 Bn | 1.08 Bn |
| 10 | Nauticus Robotics | 1.19 Mn | -17.98 Mn | -1.98 Mn | 3.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.32 Mn |
| Mar 31, 2026 | 3.22 Mn |
| Dec 31, 2025 | 2.65 Mn |
| Sep 30, 2025 | 3.00 Mn |
| Jun 30, 2025 | 4.42 Mn |
| Mar 31, 2025 | 4.36 Mn |
| Dec 31, 2024 | 4.07 Mn |
| Sep 30, 2024 | 2.85 Mn |
| Jun 30, 2024 | 3.23 Mn |
| Mar 31, 2024 | 3.43 Mn |
| Dec 31, 2023 | 793,733.00 |
| Sep 30, 2023 | 6.70 Mn |
| Jun 30, 2023 | 5.56 Mn |
| Mar 31, 2023 | 5.21 Mn |
| Dec 31, 2022 | 6.26 Mn |
| Sep 30, 2022 | 4.86 Mn |
| Jun 30, 2022 | 2.27 Mn |
| Mar 31, 2022 | 1.65 Mn |
| Dec 31, 2021 | 2.30 Mn |
| Sep 30, 2021 | 770,066.00 |
Nauticus Robotics Selling, General & Administrative 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=selling-general-and-administrative&ticker=KITT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=KITT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();