T3 Defense (DFNS) Other Accumulated Expenses (2022 - 2026)
T3 Defense (DFNS) reported Other Accumulated Expenses of $6.06 million for Q2 2026, down 21.6% from the prior quarter.
Analysis
T3 Defense (DFNS) Other Accumulated Expenses (2022 - 2026) Analysis & Trends
At the end of FY2025, T3 Defense posted Other Accumulated Expenses of $3.12 million, up 167.1% from FY2024.
- Other Accumulated Expenses has a three-year compound annual growth rate of 47.5% (FY2022 to FY2025).
- By year, Other Accumulated Expenses came in at $1.17 million in FY2024, $6.81 million in FY2023 and $970,600 in FY2022.
- Five-year quarterly Other Accumulated Expenses spans a low of $45,078 in Q2 2025 and a high of $8.18 million in Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 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 |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn |
| 10 | T3 Defense | 3.52 Mn | -14.11 Mn | 1.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.06 Mn |
| Mar 31, 2026 | 7.73 Mn |
| Dec 31, 2025 | 3.12 Mn |
| Sep 30, 2025 | 233,068.00 |
| Jun 30, 2025 | 129,037.00 |
| Mar 31, 2025 | 45,078.00 |
| Dec 31, 2024 | 1.17 Mn |
| Sep 30, 2024 | 579,524.00 |
| Jun 30, 2024 | 7.94 Mn |
| Mar 31, 2024 | 7.98 Mn |
| Dec 31, 2023 | 8.18 Mn |
| Sep 30, 2023 | 6.81 Mn |
| Jun 30, 2023 | 1.17 Mn |
| Dec 31, 2022 | 970,600.00 |
| Sep 30, 2022 | 4.51 Mn |
API Access
T3 Defense Other 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=other-accumulated-expenses&ticker=DFNS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=DFNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();