Trimas (TRS) Total Current Liabilities (2010 - 2026)
Trimas' Total Current Liabilities came in at $284.18 million for Q2 2026, up 50.6% from $188.76 million a year earlier but down 13.2% from the prior quarter.
Trimas (TRS) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Trimas' Total Current Liabilities was $183.67 million, up 15.2% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $159.43 million in FY2024 (unchanged), $159.45 million in FY2023 (+13.8%), $140.15 million in FY2022 (-9.5%) and $154.9 million in FY2021 (+12.9%).
- The five-year range for quarterly Total Current Liabilities is $138.41 million (Q3 2021) to $327.52 million (Q1 2026).
- Year-over-year, Total Current Liabilities has increased for six consecutive quarters, with growth averaging 25.7% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q1 2026 (growth of 98.6%), and the weakest in Q1 2022 (a decline of 64.9%).
- Business Quant data shows TRS's Total Current Liabilities at $327.52 million (Q1 2026), $183.67 million (Q4 2025) and $180.09 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 40.43 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 63.25 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 109.56 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 23.81 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 2.31 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 18.77 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 5.58 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 13.35 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 23.19 Bn |
| 10 | Trimas | 1.41 Bn | -1.20 Bn | 35.34 Mn | 284.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 284.18 Mn |
| Mar 31, 2026 | 327.52 Mn |
| Dec 31, 2025 | 183.67 Mn |
| Sep 30, 2025 | 180.09 Mn |
| Jun 30, 2025 | 188.76 Mn |
| Mar 31, 2025 | 164.93 Mn |
| Dec 31, 2024 | 159.43 Mn |
| Sep 30, 2024 | 153.99 Mn |
| Jun 30, 2024 | 155.69 Mn |
| Mar 31, 2024 | 156.79 Mn |
| Dec 31, 2023 | 159.45 Mn |
| Sep 30, 2023 | 157.55 Mn |
| Jun 30, 2023 | 151.62 Mn |
| Mar 31, 2023 | 148.74 Mn |
| Dec 31, 2022 | 140.15 Mn |
| Sep 30, 2022 | 158.54 Mn |
| Jun 30, 2022 | 155.59 Mn |
| Mar 31, 2022 | 154.83 Mn |
| Dec 31, 2021 | 154.90 Mn |
| Sep 30, 2021 | 138.41 Mn |
Trimas Total 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-current-liabilities&ticker=TRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=TRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();