T3 Defense (DFNS) Amortization of Intangibles (2022 - 2025)
T3 Defense (DFNS) posted Amortizatization of Intangibles of $322,247 for Q3 2025, up 787.4% from $36,315 a year earlier and up 137.9% from the prior quarter.
T3 Defense (DFNS) Amortization of Intangibles (2022 - 2025) Analysis & Trends
For the trailing twelve months through Jun 30, 2025, Amortizatization of Intangibles at T3 Defense was $497,481, down 72.7% year-over-year; for FY2024, it came in at $13,813, down 99.4% from FY2023.
- In prior years, T3 Defense's Amortizatization of Intangibles was $2.38 million in FY2023 (-11.5%) and $2.69 million in FY2022.
- The Q3 2025 figure stands as the highest quarterly Amortizatization of Intangibles since Q2 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (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 | 109.00 Mn |
| 3 | Rtx | 270.29 Bn | 240.28 Bn | 5.81 Bn | -73.00 Mn |
| 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 | 43.00 Mn |
| 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
| Date | Value |
|---|---|
| Mar 31, 2025 | 135,470.00 |
| Sep 30, 2024 | 3,449.00 |
| Jun 30, 2024 | 3,432.00 |
| Mar 31, 2024 | 3,483.00 |
| Dec 31, 2023 | 3,449.00 |
| Jun 30, 2023 | 592,892.00 |
| Mar 31, 2023 | 592,891.00 |
| Dec 31, 2022 | 592,892.00 |
T3 Defense Amortization of Intangibles 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=amortizatization-of-intangibles&ticker=DFNS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=DFNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();