T3 Defense (DFNS) Accumulated Expenses (2019 - 2025)
T3 Defense's Accumulated Expenses came in at $1.65 million for Q4 2025, up 49.9% from $1.1 million a year earlier.
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Analysis
T3 Defense (DFNS) Accumulated Expenses (2019 - 2025) Analysis & Trends
Going back to Q4 2019, T3 Defense's Accumulated Expenses data covers 7 quarters.
- Accumulated Expenses carries a five-year compound annual growth rate of 95.2% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $1.1 million in FY2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,943.02 Bn | 1,704.73 Bn | 9.10 Bn |
| 2 | General Electric | 349.37 Bn | 308.11 Bn | 5.02 Bn |
| 3 | Rtx | 270.29 Bn | 240.28 Bn | 5.81 Bn |
| 4 | Lockheed Martin | 139.31 Bn | 123.54 Bn | 2.44 Bn |
| 5 | Boeing | 137.40 Bn | 46.38 Bn | 2.17 Bn |
| 6 | General Dynamics | 99.29 Bn | 84.52 Bn | 2.25 Bn |
| 7 | Motorola Solutions | 87.28 Bn | 83.77 Bn | 1.77 Bn |
| 8 | Howmet Aerospace | 87.15 Bn | 82.91 Bn | 1.00 Bn |
| 9 | Northrop Grumman | 77.96 Bn | 65.41 Bn | 2.35 Bn |
| 10 | T3 Defense | 495,585.21 | -17.14 Mn | 1.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.65 Mn |
| Sep 30, 2025 | 108,417.00 |
| Jun 30, 2025 | 94,872.00 |
| Mar 31, 2025 | 245,008.00 |
| Dec 31, 2024 | 1.10 Mn |
| Sep 30, 2024 | 27,499.00 |
| Jun 30, 2024 | 1.45 Mn |
| Mar 31, 2024 | 1.25 Mn |
| Dec 31, 2023 | 169,945.00 |
| Sep 30, 2023 | 160,926.00 |
| Sep 30, 2022 | 170,058.00 |
| Jun 30, 2021 | 58,252.00 |
| Mar 31, 2021 | 58,252.00 |
| Dec 31, 2020 | 58,252.00 |
| Sep 30, 2020 | 58,252.00 |
| Jun 30, 2020 | 69,593.00 |
| Dec 31, 2019 | 23,433.00 |
API Access
T3 Defense 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=DFNS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "DFNS", "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=DFNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();