Trimas (TRS) Other Non-Current Assets (2010 - 2026)
Trimas (TRS) reported Other Non-Current Assets of $44.72 million for Q2 2026, up 275.5% from $11.91 million a year earlier but down 1.3% from the prior quarter.
Trimas (TRS) Other Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Trimas posted Other Non-Current Assets of $443.45 million, up 13.1% from FY2024.
- Other Non-Current Assets has a five-year compound annual growth rate of 83.3% (FY2020 to FY2025).
- By year, Other Non-Current Assets came in at $392.06 million in FY2024, $16.05 million in FY2023 (-19.7%), $19.99 million in FY2022 (-40.6%) and $33.63 million in FY2021 (+57.0%).
- Five-year quarterly Other Non-Current Assets spans a low of $11.41 million in Q1 2025 and a high of $443.45 million in Q4 2025.
- Year over year, Other Non-Current Assets has now increased in each of the last three quarters, with growth averaging 69.4% over the last seven quarters.
- The high point for year-over-year Other Non-Current Assets in five years was Q1 2026 (growth of 297.1%); the low point was Q2 2023 (a decline of 54.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $45.31 million (Q1 2026), $443.45 million (Q4 2025) and $12.17 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 15.47 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 5.50 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 4.20 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 7.16 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 240.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 3.34 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 505.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 1.49 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 9.47 Bn |
| 10 | Trimas | 1.38 Bn | -1.23 Bn | 35.34 Mn | 44.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.72 Mn |
| Mar 31, 2026 | 45.31 Mn |
| Dec 31, 2025 | 443.45 Mn |
| Sep 30, 2025 | 12.17 Mn |
| Jun 30, 2025 | 11.91 Mn |
| Mar 31, 2025 | 11.41 Mn |
| Dec 31, 2024 | 392.06 Mn |
| Sep 30, 2024 | 16.84 Mn |
| Jun 30, 2024 | 15.95 Mn |
| Mar 31, 2024 | 16.09 Mn |
| Dec 31, 2023 | 16.05 Mn |
| Sep 30, 2023 | 20.40 Mn |
| Jun 30, 2023 | 20.89 Mn |
| Mar 31, 2023 | 20.34 Mn |
| Dec 31, 2022 | 19.99 Mn |
| Sep 30, 2022 | 28.79 Mn |
| Jun 30, 2022 | 46.02 Mn |
| Mar 31, 2022 | 34.90 Mn |
| Dec 31, 2021 | 33.63 Mn |
| Sep 30, 2021 | 27.20 Mn |
Trimas Other Non-Current Assets 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-non-current-assets&ticker=TRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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=other-non-current-assets&ticker=TRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();