Trimas (TRS) Accumulated Expenses (2010 - 2026)
Trimas (TRS) posted Accumulated Expenses of $58.02 million for Q3 2026, down 27.6% from $80.1 million a year earlier but up 10.1% 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%).
- Quarterly Accumulated Expenses has run from a low of $42.76 million in Q4 2024 to a high of $80.1 million in Q3 2025 over five years.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last three quarters, with an average decline of 1.3% over the last eight quarters.
- 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 $52.72 million (Q2 2026), $53.16 million (Q1 2026) and $59.64 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn |
| 10 | Trimas | 1.39 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();