Trimas (TRS) Property, Plant & Equipment (Net) (2010 - 2026)
Trimas (TRS) recorded Property, Plant & Equipment (Net) of $238.69 million in Q3 2026, down 29.9% from $340.54 million a year earlier and down 0.9% from the prior quarter.
Trimas (TRS) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Trimas reported Property, Plant & Equipment (Net) of $247.51 million, up 4.1% from FY2024.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $237.7 million in FY2024 (-28.0%), $329.99 million in FY2023 (+18.8%), $277.75 million in FY2022 (+4.6%) and $265.63 million in FY2021 (+5.0%).
- The Q3 2026 figure is the lowest quarterly Property, Plant & Equipment (Net) since Q4 2024.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined for three consecutive quarters, with an average decline of 13.0% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 18.8% in Q4 2023, against a decline of 29.9% in Q3 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $240.79 million (Q2 2026), $243.54 million (Q1 2026) and $247.51 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 341.81 Bn | 300.33 Bn | 5.02 Bn | 8.33 Bn |
| 2 | Rtx | 261.22 Bn | 229.49 Bn | 5.81 Bn | 17.24 Bn |
| 3 | Boeing | 138.72 Bn | 47.68 Bn | 2.17 Bn | 16.69 Bn |
| 4 | Lockheed Martin | 133.18 Bn | 117.41 Bn | 2.44 Bn | 11.52 Bn |
| 5 | General Dynamics | 96.97 Bn | 82.20 Bn | 2.25 Bn | 7.85 Bn |
| 6 | Motorola Solutions | 86.17 Bn | 82.64 Bn | 1.77 Bn | 1.20 Bn |
| 7 | Howmet Aerospace | 84.62 Bn | 80.37 Bn | 1.00 Bn | 2.91 Bn |
| 8 | Northrop Grumman | 75.64 Bn | 63.10 Bn | 2.35 Bn | 10.46 Bn |
| 9 | Honeywell International | 71.75 Bn | 31.26 Bn | 2.02 Bn | 2.71 Bn |
| 10 | Trimas | 1.40 Bn | -1.22 Bn | 35.34 Mn | 240.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 240.79 Mn |
| Mar 31, 2026 | 243.54 Mn |
| Dec 31, 2025 | 247.51 Mn |
| Sep 30, 2025 | 340.54 Mn |
| Jun 30, 2025 | 337.26 Mn |
| Mar 31, 2025 | 321.94 Mn |
| Dec 31, 2024 | 237.70 Mn |
| Sep 30, 2024 | 329.31 Mn |
| Jun 30, 2024 | 328.83 Mn |
| Mar 31, 2024 | 332.09 Mn |
| Dec 31, 2023 | 329.99 Mn |
| Sep 30, 2023 | 316.69 Mn |
| Jun 30, 2023 | 318.63 Mn |
| Mar 31, 2023 | 295.22 Mn |
| Dec 31, 2022 | 277.75 Mn |
| Sep 30, 2022 | 271.96 Mn |
| Jun 30, 2022 | 275.67 Mn |
| Mar 31, 2022 | 279.84 Mn |
| Dec 31, 2021 | 265.63 Mn |
| Sep 30, 2021 | 254.33 Mn |
Trimas Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=TRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=TRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();