Trimas (TRS) Total Non-Current Liabilities (2010 - 2026)
Trimas' Total Non-Current Liabilities came in at $742.38 million for Q2 2026, up 10.0% from $674.7 million a year earlier but down 5.5% from the prior quarter.
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Analysis
Trimas (TRS) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Trimas' Total Non-Current Liabilities was $713.65 million, up 16.1% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $614.71 million in FY2024 (-0.5%), $618.09 million in FY2023 (+3.6%), $596.83 million in FY2022 (-2.8%) and $613.76 million in FY2021 (+13.7%).
- The five-year range for quarterly Total Non-Current Liabilities is $583.12 million (Q3 2021) to $785.83 million (Q1 2026).
- Year-over-year, Total Non-Current Liabilities has increased for six consecutive quarters, with growth averaging 6.9% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2021 (growth of 26.7%), and the weakest in Q1 2022 (a decline of 30.3%).
- Business Quant data shows TRS's Total Non-Current Liabilities at $785.83 million (Q1 2026), $713.65 million (Q4 2025) and $646.58 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 102.53 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 86.00 Mn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 157.29 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 48.28 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 6.90 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 14.57 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 14.44 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 30.72 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 52.22 Bn |
| 10 | Trimas | 1.41 Bn | -1.20 Bn | 35.34 Mn | 742.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 742.38 Mn |
| Mar 31, 2026 | 785.83 Mn |
| Dec 31, 2025 | 713.65 Mn |
| Sep 30, 2025 | 646.58 Mn |
| Jun 30, 2025 | 674.70 Mn |
| Mar 31, 2025 | 660.88 Mn |
| Dec 31, 2024 | 614.71 Mn |
| Sep 30, 2024 | 629.33 Mn |
| Jun 30, 2024 | 646.07 Mn |
| Mar 31, 2024 | 645.79 Mn |
| Dec 31, 2023 | 618.09 Mn |
| Sep 30, 2023 | 620.39 Mn |
| Jun 30, 2023 | 635.37 Mn |
| Mar 31, 2023 | 611.97 Mn |
| Dec 31, 2022 | 596.83 Mn |
| Sep 30, 2022 | 617.04 Mn |
| Jun 30, 2022 | 619.72 Mn |
| Mar 31, 2022 | 617.72 Mn |
| Dec 31, 2021 | 613.76 Mn |
| Sep 30, 2021 | 583.12 Mn |
API Access
Trimas Total Non-Current 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-non-current-liabilities&ticker=TRS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=TRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();