Kratos Defense & Security Solutions (KTOS) Total Non-Current Liabilities (2010 - 2026)
Kratos Defense & Security Solutions (KTOS) reported Total Non-Current Liabilities of $600 million for Q2 2026, up 2.1% from $587.7 million a year earlier and up 3.9% from the prior quarter.
Kratos Defense & Security Solutions (KTOS) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Kratos Defense & Security Solutions posted Total Non-Current Liabilities of $440.6 million, down 22.1% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -4.5% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $565.5 million in FY2024 (-9.2%), $623 million in FY2023 (+15.8%), $537.8 million in FY2022 (-5.4%) and $568.2 million in FY2021 (+2.5%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities since Q4 2023.
- Year over year, Total Non-Current Liabilities gained in four of the last eight quarters, with an average decline of 4.4%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2025 (growth of 21.0%); the low point was Q4 2025 (a decline of 22.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $577.4 million (Q1 2026), $440.6 million (Q4 2025) and $406.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 309.04 Bn | 262.81 Bn | 4.68 Bn | 96.00 Bn |
| 2 | Rtx | 263.84 Bn | 235.31 Bn | 5.13 Bn | 86.00 Mn |
| 3 | Boeing | 150.62 Bn | 57.30 Bn | 2.41 Bn | 157.29 Bn |
| 4 | Lockheed Martin | 127.16 Bn | 113.88 Bn | 2.45 Bn | 48.28 Bn |
| 5 | General Dynamics | 93.35 Bn | 80.46 Bn | 2.18 Bn | 14.57 Bn |
| 6 | Howmet Aerospace | 84.23 Bn | 79.83 Bn | 951.00 Mn | 6.90 Bn |
| 7 | Northrop Grumman | 77.33 Bn | 66.57 Bn | 2.12 Bn | 30.72 Bn |
| 8 | Motorola Solutions | 76.37 Bn | 72.72 Bn | 1.68 Bn | 14.44 Bn |
| 9 | Honeywell International | 67.20 Bn | 19.33 Bn | 3.65 Bn | 52.22 Bn |
| 10 | Kratos Defense & Security Solutions | 7.44 Bn | 3.41 Bn | 100.10 Mn | 600.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 600.00 Mn |
| Mar 29, 2026 | 577.40 Mn |
| Dec 28, 2025 | 440.60 Mn |
| Sep 28, 2025 | 406.70 Mn |
| Jun 29, 2025 | 587.70 Mn |
| Mar 30, 2025 | 574.10 Mn |
| Dec 29, 2024 | 565.50 Mn |
| Sep 29, 2024 | 469.70 Mn |
| Jun 30, 2024 | 485.90 Mn |
| Mar 31, 2024 | 561.70 Mn |
| Dec 31, 2023 | 623.00 Mn |
| Oct 1, 2023 | 560.60 Mn |
| Jun 25, 2023 | 539.80 Mn |
| Mar 26, 2023 | 549.10 Mn |
| Dec 25, 2022 | 537.80 Mn |
| Sep 25, 2022 | 550.60 Mn |
| Jun 26, 2022 | 562.30 Mn |
| Mar 27, 2022 | 559.30 Mn |
| Dec 26, 2021 | 568.20 Mn |
| Sep 26, 2021 | 558.70 Mn |
Kratos Defense & Security Solutions 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=KTOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "KTOS", "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=KTOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();