Trimas (TRS) Cost of Revenue (2010 - 2026)
Trimas' Cost of Revenue was $139.24 million in Q2 2026, up 4.1% from $133.8 million a year earlier and up 6.0% from the prior quarter.
Trimas (TRS) Cost of Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Trimas' Cost of Revenue was $388.53 million through Jun 30, 2026, down 1.3% year-over-year; for FY2025, it was $507.56 million, up 1.3% from FY2024.
- Cost of Revenue shows a five-year compound annual growth rate of -2.9% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $501.26 million in FY2024 (+0.5%), $498.85 million in FY2023 (-26.2%), $675.53 million in FY2022 (+5.6%) and $639.92 million in FY2021 (+8.9%).
- Quarterly Cost of Revenue has moved between -$85.47 million (Q4 2025) and $203.35 million (Q3 2025) over five years.
- Compared with a year earlier, Cost of Revenue was higher in three of the last six quarters, with an average decline of 5.4%.
- The best year-over-year quarter for Cost of Revenue over five years was Q3 2025 (growth of 14.5%); the worst was Q1 2025 (a decline of 31.4%).
- Per Business Quant data, TRS's Cost of Revenue in the three quarters before Q2 2026 was $131.41 million (Q1 2026), -$85.47 million (Q4 2025) and $203.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 347.14 Bn | 305.66 Bn | 5.02 Bn | 9.10 Bn |
| 2 | Rtx | 265.26 Bn | 233.53 Bn | 5.81 Bn | 19.16 Bn |
| 3 | Boeing | 137.19 Bn | 46.15 Bn | 2.17 Bn | 22.02 Bn |
| 4 | Lockheed Martin | 134.98 Bn | 119.21 Bn | 2.44 Bn | 18.28 Bn |
| 5 | General Dynamics | 98.05 Bn | 83.28 Bn | 2.25 Bn | 12.32 Bn |
| 6 | Motorola Solutions | 87.16 Bn | 83.62 Bn | 1.77 Bn | 1.61 Bn |
| 7 | Howmet Aerospace | 86.42 Bn | 82.17 Bn | 1.00 Bn | 1.70 Bn |
| 8 | Northrop Grumman | 76.88 Bn | 64.34 Bn | 2.35 Bn | 8.77 Bn |
| 9 | Honeywell International | 72.94 Bn | 32.45 Bn | 2.02 Bn | 2.98 Bn |
| 10 | Trimas | 1.39 Bn | -1.22 Bn | 35.34 Mn | 139.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 139.24 Mn |
| Mar 31, 2026 | 131.41 Mn |
| Dec 31, 2025 | -85.47 Mn |
| Sep 30, 2025 | 203.35 Mn |
| Jun 30, 2025 | 133.80 Mn |
| Mar 31, 2025 | 119.63 Mn |
| Dec 31, 2024 | -37.28 Mn |
| Sep 30, 2024 | 177.66 Mn |
| Jun 30, 2024 | 186.49 Mn |
| Mar 31, 2024 | 174.39 Mn |
| Dec 31, 2023 | -26.99 Mn |
| Sep 30, 2023 | 179.41 Mn |
| Jun 30, 2023 | 178.66 Mn |
| Mar 31, 2023 | 167.77 Mn |
| Dec 31, 2022 | 157.73 Mn |
| Sep 30, 2022 | 170.20 Mn |
| Jun 30, 2022 | 177.00 Mn |
| Mar 31, 2022 | 170.60 Mn |
| Dec 31, 2021 | 159.58 Mn |
| Sep 30, 2021 | 163.98 Mn |
Trimas Cost of Revenue 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=cost-of-revenue&ticker=TRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=TRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();