Kratos Defense & Security Solutions (KTOS) Total Liabilities (2010 - 2026)
Kratos Defense & Security Solutions (KTOS) reported Total Liabilities of $663 million for Q2 2026, up 6.0% from $625.7 million a year earlier and up 4.8% from the prior quarter.
Kratos Defense & Security Solutions (KTOS) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Kratos Defense & Security Solutions posted Total Liabilities of $470.9 million, down 21.2% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of -5.9% (FY2020 to FY2025).
- By year, Total Liabilities came in at $597.7 million in FY2024 (-9.0%), $656.5 million in FY2023 (+6.7%), $615.2 million in FY2022 (-4.5%) and $644.4 million in FY2021 (+1.1%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities since Q4 2016.
- Year over year, Total Liabilities gained in three of the last eight quarters, with an average decline of 6.5%.
- The high point for year-over-year Total Liabilities in five years was Q2 2025 (growth of 7.0%); the low point was Q3 2025 (a decline of 22.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $632.7 million (Q1 2026), $470.9 million (Q4 2025) and $441.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 311.51 Bn | 265.28 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 260.81 Bn | 232.28 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 150.42 Bn | 57.11 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 126.49 Bn | 113.21 Bn | 2.45 Bn | 53.68 Bn |
| 5 | General Dynamics | 93.01 Bn | 80.13 Bn | 2.18 Bn | 33.34 Bn |
| 6 | Howmet Aerospace | 84.65 Bn | 80.25 Bn | 951.00 Mn | 7.52 Bn |
| 7 | Motorola Solutions | 76.78 Bn | 73.13 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 75.94 Bn | 65.19 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 67.59 Bn | 19.71 Bn | 3.65 Bn | 58.49 Bn |
| 10 | Kratos Defense & Security Solutions | 7.35 Bn | 3.32 Bn | 100.10 Mn | 663.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 663.00 Mn |
| Mar 29, 2026 | 632.70 Mn |
| Dec 28, 2025 | 470.90 Mn |
| Sep 28, 2025 | 441.80 Mn |
| Jun 29, 2025 | 625.70 Mn |
| Mar 30, 2025 | 617.30 Mn |
| Dec 29, 2024 | 597.70 Mn |
| Sep 29, 2024 | 569.50 Mn |
| Jun 30, 2024 | 584.90 Mn |
| Mar 31, 2024 | 644.80 Mn |
| Dec 31, 2023 | 656.50 Mn |
| Oct 1, 2023 | 637.40 Mn |
| Jun 25, 2023 | 617.20 Mn |
| Mar 26, 2023 | 625.90 Mn |
| Dec 25, 2022 | 615.20 Mn |
| Sep 25, 2022 | 632.70 Mn |
| Jun 26, 2022 | 645.20 Mn |
| Mar 27, 2022 | 633.20 Mn |
| Dec 26, 2021 | 644.40 Mn |
| Sep 26, 2021 | 636.00 Mn |
Kratos Defense & Security Solutions Total 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-liabilities&ticker=KTOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=KTOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();