Trimas (TRS) Total Liabilities (2010 - 2026)
Trimas' Total Liabilities was $803.04 million in Q2 2026, up 10.0% from $730.13 million a year earlier but down 5.2% from the prior quarter.
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Analysis
Trimas (TRS) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Trimas came in at $779.49 million, up 18.7% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $656.88 million in FY2024 (-0.3%), $658.71 million in FY2023 (+0.8%), $653.17 million in FY2022 (-2.9%) and $672.79 million in FY2021 (+10.4%).
- Quarterly Total Liabilities has moved between $643.94 million (Q3 2021) and $847.32 million (Q1 2026) over five years.
- Compared with a year earlier, Total Liabilities has increased for six straight quarters, with growth averaging 7.8% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2021 (growth of 24.4%); the worst was Q1 2022 (a decline of 28.7%).
- Per Business Quant data, TRS's Total Liabilities in the three quarters before Q2 2026 was $847.32 million (Q1 2026), $779.49 million (Q4 2025) and $708.84 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 53.68 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 7.52 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 33.34 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 58.49 Bn |
| 10 | Trimas | 1.41 Bn | -1.20 Bn | 35.34 Mn | 803.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 803.04 Mn |
| Mar 31, 2026 | 847.32 Mn |
| Dec 31, 2025 | 779.49 Mn |
| Sep 30, 2025 | 708.84 Mn |
| Jun 30, 2025 | 730.13 Mn |
| Mar 31, 2025 | 707.18 Mn |
| Dec 31, 2024 | 656.88 Mn |
| Sep 30, 2024 | 685.08 Mn |
| Jun 30, 2024 | 689.91 Mn |
| Mar 31, 2024 | 691.26 Mn |
| Dec 31, 2023 | 658.71 Mn |
| Sep 30, 2023 | 666.97 Mn |
| Jun 30, 2023 | 694.00 Mn |
| Mar 31, 2023 | 670.61 Mn |
| Dec 31, 2022 | 653.17 Mn |
| Sep 30, 2022 | 667.32 Mn |
| Jun 30, 2022 | 671.98 Mn |
| Mar 31, 2022 | 675.22 Mn |
| Dec 31, 2021 | 672.79 Mn |
| Sep 30, 2021 | 643.94 Mn |
API Access
Trimas Total Liabilities 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=total-liabilities&ticker=TRS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=TRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();