Trimas (TRS) Other Non-Current Liabilities (2010 - 2026)
Trimas (TRS) recorded Other Non-Current Liabilities of $60.66 million in Q2 2026, up 9.4% from $55.43 million a year earlier but down 1.3% from the prior quarter.
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Analysis
Trimas (TRS) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Trimas reported Other Non-Current Liabilities of $65.84 million, up 56.1% from FY2024.
- Annual Other Non-Current Liabilities has a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- Across earlier years, Other Non-Current Liabilities came in at $42.17 million in FY2024 (+3.8%), $40.62 million in FY2023 (-27.9%), $56.34 million in FY2022 (-4.6%) and $59.03 million in FY2021 (-15.3%).
- Quarterly Other Non-Current Liabilities has ranged from $40.62 million in Q4 2023 to $65.84 million in Q4 2025 over the past five years.
- On a year-over-year basis, Other Non-Current Liabilities has increased for eight consecutive quarters, with growth averaging 20.2% over the last eight quarters.
- Peak year-over-year performance for Other Non-Current Liabilities in the last five years was growth of 56.1% in Q4 2025, against a decline of 27.9% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $61.49 million (Q1 2026), $65.84 million (Q4 2025) and $62.26 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 | 60.66 Mn |
| Mar 31, 2026 | 61.49 Mn |
| Dec 31, 2025 | 65.84 Mn |
| Sep 30, 2025 | 62.26 Mn |
| Jun 30, 2025 | 55.43 Mn |
| Mar 31, 2025 | 46.30 Mn |
| Dec 31, 2024 | 42.17 Mn |
| Sep 30, 2024 | 55.75 Mn |
| Jun 30, 2024 | 43.84 Mn |
| Mar 31, 2024 | 45.47 Mn |
| Dec 31, 2023 | 40.62 Mn |
| Sep 30, 2023 | 46.58 Mn |
| Jun 30, 2023 | 58.63 Mn |
| Mar 31, 2023 | 58.64 Mn |
| Dec 31, 2022 | 56.34 Mn |
| Sep 30, 2022 | 50.28 Mn |
| Jun 30, 2022 | 52.26 Mn |
| Mar 31, 2022 | 57.50 Mn |
| Dec 31, 2021 | 59.03 Mn |
| Sep 30, 2021 | 60.82 Mn |
API Access
Trimas Other 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=other-non-current-liabilities&ticker=TRS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=TRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();