Trimas (TRS) Cash & Equivalents (2010 - 2026)
Trimas (TRS) recorded Cash & Equivalents of $1.24 billion in Q2 2026, compared with $30.28 million a year earlier and down 5.1% from the prior quarter.
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Analysis
Trimas (TRS) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Trimas reported Cash & Equivalents of $30.02 million, up 30.1% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -16.5% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $23.07 million in FY2024 (-33.9%), $34.89 million in FY2023 (-68.9%), $112.09 million in FY2022 (-20.4%) and $140.74 million in FY2021 (+90.3%).
- Quarterly Cash & Equivalents has ranged from $23.07 million in Q4 2024 to $1.31 billion in Q1 2026 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in three of the last six quarters, with an average decline of 1.2%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 90.3% in Q4 2021, against a decline of 86.0% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.31 billion (Q1 2026), $30.02 million (Q4 2025) and $33.64 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.20 Bn | 278.20 Bn | 4.68 Bn | 9.35 Bn |
| 2 | Rtx | 249.38 Bn | 222.59 Bn | 5.13 Bn | 8.31 Bn |
| 3 | Boeing | 152.06 Bn | 58.76 Bn | 2.41 Bn | 7.24 Bn |
| 4 | Lockheed Martin | 116.66 Bn | 103.39 Bn | 2.45 Bn | 3.79 Bn |
| 5 | Howmet Aerospace | 91.36 Bn | 86.97 Bn | 951.00 Mn | 563.00 Mn |
| 6 | General Dynamics | 90.03 Bn | 77.14 Bn | 2.18 Bn | 4.33 Bn |
| 7 | Motorola Solutions | 74.17 Bn | 70.53 Bn | 1.68 Bn | 710.00 Mn |
| 8 | Northrop Grumman | 68.46 Bn | 57.71 Bn | 2.12 Bn | 2.31 Bn |
| 9 | Honeywell International | 67.76 Bn | 20.21 Bn | 3.65 Bn | 8.75 Bn |
| 10 | Trimas | 1.38 Bn | -1.23 Bn | 35.34 Mn | 1.24 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.24 Bn |
| Mar 31, 2026 | 1.31 Bn |
| Dec 31, 2025 | 30.02 Mn |
| Sep 30, 2025 | 33.64 Mn |
| Jun 30, 2025 | 30.28 Mn |
| Mar 31, 2025 | 32.71 Mn |
| Dec 31, 2024 | 23.07 Mn |
| Sep 30, 2024 | 26.91 Mn |
| Jun 30, 2024 | 35.01 Mn |
| Mar 31, 2024 | 30.47 Mn |
| Dec 31, 2023 | 34.89 Mn |
| Sep 30, 2023 | 34.66 Mn |
| Jun 30, 2023 | 41.90 Mn |
| Mar 31, 2023 | 51.89 Mn |
| Dec 31, 2022 | 112.09 Mn |
| Sep 30, 2022 | 80.34 Mn |
| Jun 30, 2022 | 49.09 Mn |
| Mar 31, 2022 | 58.82 Mn |
| Dec 31, 2021 | 140.74 Mn |
| Sep 30, 2021 | 136.96 Mn |
API Access
Trimas Cash & Equivalents 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=cash-and-equivalents&ticker=TRS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=TRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();