Trimas (TRS) Short term Debt (2010 - 2024)
Trimas' Short term Debt came in at $80,000 for Q3 2024.
Analysis
Trimas (TRS) Short term Debt (2010 - 2024) Analysis & Trends
At the end of FY2016, Trimas' Short term Debt was $13.81 million, down 0.3% from FY2015.
- Short term Debt carries a five-year compound annual growth rate of 13.6% (FY2011 to FY2016).
- Going back by year, Short term Debt was $13.85 million in FY2015 (-40.8%), $23.4 million in FY2014 (+127.4%), $10.29 million in FY2013 (-28.4%) and $14.37 million in FY2012 (+97.1%).
- The Q3 2024 figure represents the highest quarterly Short term Debt since Q1 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn |
| 10 | Trimas | 1.41 Bn | -1.20 Bn | 35.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 80,000.00 |
| Mar 31, 2021 | 300.00 Mn |
| Sep 30, 2019 | 30,000.00 |
| Jun 30, 2019 | 60,000.00 |
| Mar 31, 2019 | 90,000.00 |
| Jun 30, 2017 | 13.76 Mn |
| Mar 31, 2017 | 13.77 Mn |
| Dec 31, 2016 | 13.81 Mn |
| Sep 30, 2016 | 13.84 Mn |
| Jun 30, 2016 | 13.82 Mn |
| Mar 31, 2016 | 13.84 Mn |
| Dec 31, 2015 | 13.85 Mn |
| Sep 30, 2015 | 13.86 Mn |
| Jun 30, 2015 | 10.46 Mn |
| Mar 31, 2015 | 23.59 Mn |
| Dec 31, 2014 | 23.40 Mn |
| Sep 30, 2014 | 11.43 Mn |
| Jun 30, 2014 | 14.57 Mn |
| Mar 31, 2014 | 14.00 Mn |
| Dec 31, 2013 | 10.29 Mn |
API Access
Trimas Short term Debt 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=short-term-debt&ticker=TRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=TRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();