Trimas (TRS) Intangibles (2010 - 2026)
Trimas (TRS) posted Intangibles of $71.46 million for Q3 2026, down 54.9% from $158.33 million a year earlier and down 2.1% from the prior quarter.
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Analysis
Trimas (TRS) Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2025, Trimas' Intangibles came in at $76.55 million, down 2.3% from FY2024.
- Annual Intangibles has declined for five consecutive years, with a five-year compound annual growth rate of -18.0% (FY2020 to FY2025).
- In prior years, Trimas' Intangibles was $78.39 million in FY2024 (-56.7%), $181.02 million in FY2023 (-3.8%), $188.11 million in FY2022 (-4.4%) and $196.73 million in FY2021 (-4.6%).
- The Q3 2026 figure stands as the lowest quarterly Intangibles in data going back to Q4 2010.
- On a year-over-year basis, Intangibles has declined in each of the last 16 quarters, with an average decline of 30.2% over the last eight quarters.
- The strongest year-over-year quarter for Intangibles in the past five years was Q1 2022, with growth of 2.6%; the weakest was Q4 2024, with a decline of 56.7%.
- According to Business Quant data, Intangibles for the three prior quarters was $72.97 million (Q2 2026), $74.52 million (Q1 2026) and $76.55 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | 4.03 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 30.65 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | 1.28 Bn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | 1.74 Bn |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 1.23 Bn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 3.50 Bn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | 855.00 Mn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | - |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 5.44 Bn |
| 10 | Trimas | 1.39 Bn | -1.23 Bn | 35.34 Mn | 72.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 72.97 Mn |
| Mar 31, 2026 | 74.52 Mn |
| Dec 31, 2025 | 76.55 Mn |
| Sep 30, 2025 | 158.33 Mn |
| Jun 30, 2025 | 163.05 Mn |
| Mar 31, 2025 | 163.33 Mn |
| Dec 31, 2024 | 78.39 Mn |
| Sep 30, 2024 | 168.65 Mn |
| Jun 30, 2024 | 171.22 Mn |
| Mar 31, 2024 | 175.74 Mn |
| Dec 31, 2023 | 181.02 Mn |
| Sep 30, 2023 | 184.51 Mn |
| Jun 30, 2023 | 190.68 Mn |
| Mar 31, 2023 | 194.84 Mn |
| Dec 31, 2022 | 188.11 Mn |
| Sep 30, 2022 | 189.50 Mn |
| Jun 30, 2022 | 197.10 Mn |
| Mar 31, 2022 | 204.26 Mn |
| Dec 31, 2021 | 196.73 Mn |
| Sep 30, 2021 | 187.77 Mn |
API Access
Trimas 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=intangibles&ticker=TRS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=intangibles&ticker=TRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();