Trimas (TRS) Amortizatization of Intangibles (2010 - 2026)
Trimas' Amortizatization of Intangibles was $1.17 million in Q2 2026, down 73.1% from $4.35 million a year earlier and down 71.7% from the prior quarter.
Trimas (TRS) Amortizatization of Intangibles (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Trimas' Amortizatization of Intangibles was $14.08 million through Jun 30, 2026, down 16.7% year-over-year; for FY2025, it came in at $17.32 million, up 3.1% from FY2024.
- Amortizatization of Intangibles shows a five-year compound annual growth rate of -3.5% (FY2020 to FY2025).
- In earlier years, Amortizatization of Intangibles was $16.8 million in FY2024 (-7.6%), $18.18 million in FY2023 (-4.8%), $19.1 million in FY2022 (-11.4%) and $21.56 million in FY2021 (+3.9%).
- The Q2 2026 figure marks the lowest quarterly Amortizatization of Intangibles since Q4 2013.
- Compared with a year earlier, Amortizatization of Intangibles was higher in three of the last eight quarters, with an average decline of 9.5%.
- The best year-over-year quarter for Amortizatization of Intangibles over five years was Q4 2025 (growth of 5.3%); the worst was Q2 2026 (a decline of 73.1%).
- Per Business Quant data, TRS's Amortizatization of Intangibles in the three quarters before Q2 2026 was $4.13 million (Q1 2026), $4.38 million (Q4 2025) and $4.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 88.00 Mn |
| 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 | 43.00 Mn |
| 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 | 156.00 Mn |
| 10 | Trimas | 1.40 Bn | -1.21 Bn | 35.34 Mn | 1.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.17 Mn |
| Mar 31, 2026 | 4.13 Mn |
| Dec 31, 2025 | 4.38 Mn |
| Sep 30, 2025 | 4.40 Mn |
| Jun 30, 2025 | 4.35 Mn |
| Mar 31, 2025 | 4.19 Mn |
| Dec 31, 2024 | 4.16 Mn |
| Sep 30, 2024 | 4.21 Mn |
| Jun 30, 2024 | 4.22 Mn |
| Mar 31, 2024 | 4.21 Mn |
| Dec 31, 2023 | 4.37 Mn |
| Sep 30, 2023 | 4.61 Mn |
| Jun 30, 2023 | 4.61 Mn |
| Mar 31, 2023 | 4.59 Mn |
| Dec 31, 2022 | 4.50 Mn |
| Sep 30, 2022 | 4.56 Mn |
| Jun 30, 2022 | 4.75 Mn |
| Mar 31, 2022 | 5.29 Mn |
| Dec 31, 2021 | 5.41 Mn |
| Sep 30, 2021 | 5.37 Mn |
Trimas Amortizatization 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=TRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "TRS", "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=TRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();