Kratos Defense & Security Solutions (KTOS) Change in Accured Expenses (2010 - 2026)
Kratos Defense & Security Solutions' Change in Accured Expenses came in at $36.7 million for Q2 2026, up 891.9% from $3.7 million a year earlier.
Kratos Defense & Security Solutions (KTOS) Change in Accured Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Kratos Defense & Security Solutions reported Change in Accured Expenses of $33.6 million, up 90.9% year-over-year; for FY2025, it came in at $22.1 million, up 215.7% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of 21.1% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $7 million in FY2024 (-43.5%), $12.4 million in FY2023 (+121.4%), $5.6 million in FY2022 and -$7.4 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Change in Accured Expenses in data going back to Q3 2010.
- Year-over-year, Change in Accured Expenses increased in three of the last four quarters, with growth averaging 278.3%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q2 2026 (growth of 891.9%), and the weakest in Q3 2021 (a decline of 86.0%).
- Business Quant data shows KTOS's Change in Accured Expenses at -$16.1 million (Q1 2026), -$6.1 million (Q4 2025) and $19.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | - |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 2.10 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 190.00 Mn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 41.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | - |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 82.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | -34.00 Mn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 895.00 Mn |
| 10 | Kratos Defense & Security Solutions | 8.08 Bn | 4.05 Bn | 100.10 Mn | 36.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 36.70 Mn |
| Mar 29, 2026 | -16.10 Mn |
| Dec 28, 2025 | -6.10 Mn |
| Sep 28, 2025 | 19.10 Mn |
| Jun 29, 2025 | 3.70 Mn |
| Mar 30, 2025 | 5.40 Mn |
| Dec 29, 2024 | 2.40 Mn |
| Sep 29, 2024 | 6.10 Mn |
| Jun 30, 2024 | 2.20 Mn |
| Mar 31, 2024 | -3.70 Mn |
| Dec 31, 2023 | 6.00 Mn |
| Oct 1, 2023 | -800,000.00 |
| Jun 25, 2023 | 3.20 Mn |
| Mar 26, 2023 | 4.00 Mn |
| Dec 25, 2022 | 2.60 Mn |
| Sep 25, 2022 | -4.70 Mn |
| Jun 26, 2022 | 1.60 Mn |
| Mar 27, 2022 | 6.10 Mn |
| Dec 26, 2021 | -1.40 Mn |
| Sep 26, 2021 | 1.50 Mn |
Kratos Defense & Security Solutions Change in Accured Expenses 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=change-in-accured-expenses&ticker=KTOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=KTOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();