Trimas (TRS) Accumulated Expenses (2010 - 2026)
Trimas (TRS) posted Accumulated Expenses of $52.72 million for Q2 2026, down 31.0% from $76.38 million a year earlier and down 0.8% from the prior quarter.
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Analysis
Trimas (TRS) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Trimas' Accumulated Expenses came in at $59.64 million, up 39.5% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- In prior years, Trimas' Accumulated Expenses was $42.76 million in FY2024 (-28.3%), $59.64 million in FY2023 (+27.8%), $46.66 million in FY2022 (-20.9%) and $58.98 million in FY2021 (-2.6%).
- The Q2 2026 figure stands as the lowest quarterly Accumulated Expenses since Q4 2024.
- On a year-over-year basis, Accumulated Expenses increased in four of the last eight quarters, with growth averaging 1.8%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2025, with growth of 39.5%; the weakest was Q2 2026, with a decline of 31.0%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $53.16 million (Q1 2026), $59.64 million (Q4 2025) and $80.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | Trimas | 1.38 Bn | -1.23 Bn | 35.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.72 Mn |
| Mar 31, 2026 | 53.16 Mn |
| Dec 31, 2025 | 59.64 Mn |
| Sep 30, 2025 | 80.10 Mn |
| Jun 30, 2025 | 76.38 Mn |
| Mar 31, 2025 | 68.45 Mn |
| Dec 31, 2024 | 42.76 Mn |
| Sep 30, 2024 | 65.21 Mn |
| Jun 30, 2024 | 57.15 Mn |
| Mar 31, 2024 | 66.51 Mn |
| Dec 31, 2023 | 59.64 Mn |
| Sep 30, 2023 | 67.24 Mn |
| Jun 30, 2023 | 58.93 Mn |
| Mar 31, 2023 | 53.93 Mn |
| Dec 31, 2022 | 46.66 Mn |
| Sep 30, 2022 | 56.85 Mn |
| Jun 30, 2022 | 50.49 Mn |
| Mar 31, 2022 | 51.56 Mn |
| Dec 31, 2021 | 58.98 Mn |
| Sep 30, 2021 | 59.82 Mn |
API Access
Trimas Accumulated Expenses 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=accumulated-expenses&ticker=TRS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=TRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();