Kratos Defense & Security Solutions (KTOS) Accumulated Expenses (2010 - 2026)
Kratos Defense & Security Solutions (KTOS) posted Accumulated Expenses of $95.9 million for Q2 2026, up 98.1% from $48.4 million a year earlier and up 63.4% from the prior quarter.
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Analysis
Kratos Defense & Security Solutions (KTOS) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Kratos Defense & Security Solutions' Accumulated Expenses came in at $60.5 million, up 55.9% from FY2024.
- Annual Accumulated Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 11.8% (FY2020 to FY2025).
- In prior years, Kratos Defense & Security Solutions' Accumulated Expenses was $38.8 million in FY2024 (+9.6%), $35.4 million in FY2023 (+4.7%), $33.8 million in FY2022 (+24.3%) and $27.2 million in FY2021 (-21.6%).
- The Q2 2026 figure stands as the highest quarterly Accumulated Expenses in data going back to Q4 2010.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last seven quarters, with growth averaging 40.4% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q2 2026, with growth of 98.1%; the weakest was Q4 2021, with a decline of 21.6%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $58.7 million (Q1 2026), $60.5 million (Q4 2025) and $66.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 300.22 Bn | 258.74 Bn | 5.02 Bn |
| 2 | Rtx | 259.87 Bn | 228.14 Bn | 5.81 Bn |
| 3 | Boeing | 150.31 Bn | 57.00 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 135.84 Bn | 122.57 Bn | 2.45 Bn |
| 5 | General Dynamics | 93.95 Bn | 81.06 Bn | 2.18 Bn |
| 6 | Northrop Grumman | 78.10 Bn | 65.56 Bn | 2.35 Bn |
| 7 | Motorola Solutions | 77.81 Bn | 74.16 Bn | 1.68 Bn |
| 8 | Howmet Aerospace | 77.33 Bn | 72.93 Bn | 951.00 Mn |
| 9 | Honeywell International | 67.95 Bn | 20.07 Bn | 3.65 Bn |
| 10 | Kratos Defense & Security Solutions | 7.20 Bn | 3.18 Bn | 100.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 95.90 Mn |
| Mar 29, 2026 | 58.70 Mn |
| Dec 28, 2025 | 60.50 Mn |
| Sep 28, 2025 | 66.80 Mn |
| Jun 29, 2025 | 48.40 Mn |
| Mar 30, 2025 | 42.40 Mn |
| Dec 29, 2024 | 38.80 Mn |
| Sep 29, 2024 | 41.10 Mn |
| Jun 30, 2024 | 36.40 Mn |
| Mar 31, 2024 | 37.40 Mn |
| Dec 31, 2023 | 35.40 Mn |
| Oct 1, 2023 | 42.10 Mn |
| Jun 25, 2023 | 42.50 Mn |
| Mar 26, 2023 | 37.40 Mn |
| Dec 25, 2022 | 35.30 Mn |
| Sep 25, 2022 | 29.80 Mn |
| Jun 26, 2022 | 36.30 Mn |
| Mar 27, 2022 | 34.40 Mn |
| Dec 26, 2021 | 28.70 Mn |
| Sep 26, 2021 | 35.10 Mn |
API Access
Kratos Defense & Security Solutions Accumulated 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=accumulated-expenses&ticker=KTOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=KTOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();