Trimas (TRS) Capital Expenditures (2010 - 2026)
Trimas (TRS) recorded Capital Expenditures of $6.46 million in Q2 2026, down 46.7% from $12.12 million a year earlier but up 23.8% from the prior quarter.
Trimas (TRS) Capital Expenditures (2010 - 2026) Analysis & Trends
On a TTM basis, Trimas' Capital Expenditures came in at $30.05 million as of Jun 30, 2026, down 42.1% year-over-year; for FY2025, it was $48.35 million, down 5.1% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $50.96 million in FY2024 (-6.0%), $54.19 million in FY2023 (+17.9%), $45.96 million in FY2022 (+2.0%) and $45.06 million in FY2021 (+11.3%).
- Quarterly Capital Expenditures has ranged from $4.7 million in Q4 2025 to $19.25 million in Q4 2023 over the past five years.
- On a year-over-year basis, Capital Expenditures has declined for three consecutive quarters, with an average decline of 19.3% over the last eight quarters.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 36.8% in Q3 2021, against a decline of 68.6% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.22 million (Q1 2026), $4.7 million (Q4 2025) and $13.67 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.20 Bn | 278.20 Bn | 4.68 Bn | 335.00 Mn |
| 2 | Rtx | 249.38 Bn | 222.59 Bn | 5.13 Bn | 669.00 Mn |
| 3 | Boeing | 152.06 Bn | 58.76 Bn | 2.41 Bn | 733.00 Mn |
| 4 | Lockheed Martin | 116.66 Bn | 103.39 Bn | 2.45 Bn | 318.00 Mn |
| 5 | Howmet Aerospace | 91.36 Bn | 86.97 Bn | 951.00 Mn | 104.00 Mn |
| 6 | General Dynamics | 90.03 Bn | 77.14 Bn | 2.18 Bn | 234.00 Mn |
| 7 | Motorola Solutions | 74.17 Bn | 70.53 Bn | 1.68 Bn | 55.00 Mn |
| 8 | Northrop Grumman | 68.46 Bn | 57.71 Bn | 2.12 Bn | 302.00 Mn |
| 9 | Honeywell International | 67.76 Bn | 20.21 Bn | 3.65 Bn | 315.00 Mn |
| 10 | Trimas | 1.38 Bn | -1.23 Bn | 35.34 Mn | 6.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.46 Mn |
| Mar 31, 2026 | 5.22 Mn |
| Dec 31, 2025 | 4.70 Mn |
| Sep 30, 2025 | 13.67 Mn |
| Jun 30, 2025 | 12.12 Mn |
| Mar 31, 2025 | 12.94 Mn |
| Dec 31, 2024 | 14.98 Mn |
| Sep 30, 2024 | 11.87 Mn |
| Jun 30, 2024 | 10.86 Mn |
| Mar 31, 2024 | 13.25 Mn |
| Dec 31, 2023 | 19.25 Mn |
| Sep 30, 2023 | 10.01 Mn |
| Jun 30, 2023 | 10.14 Mn |
| Mar 31, 2023 | 14.79 Mn |
| Dec 31, 2022 | 14.12 Mn |
| Sep 30, 2022 | 10.12 Mn |
| Jun 30, 2022 | 9.83 Mn |
| Mar 31, 2022 | 11.89 Mn |
| Dec 31, 2021 | 15.21 Mn |
| Sep 30, 2021 | 11.52 Mn |
Trimas Capital Expenditures 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=capital-expenditures&ticker=TRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=TRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();