Trex (TREX) Interest Expenses (2010 - 2018)
Trex's Interest Expenses came in at $78,000 for FY2023.
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Analysis
Trex (TREX) Interest Expenses (2010 - 2018) Analysis & Trends
Going back to FY2009, Trex's Interest Expenses data covers 10 years.
- The FY2023 figure represents the highest annual Interest Expenses in data going back to FY2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 53.10 Mn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | - |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 1.44 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | - |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | - |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 61.50 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 28.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 24.80 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 27.40 Mn |
| 10 | Trex | 4.44 Bn | 4.41 Bn | 158.34 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 369,000.00 |
| Mar 31, 2018 | 229,000.00 |
| Dec 31, 2017 | -54,000.00 |
| Sep 30, 2017 | 59,000.00 |
| Jun 30, 2017 | 251,000.00 |
| Mar 31, 2017 | 204,000.00 |
| Dec 31, 2016 | 17,000.00 |
| Sep 30, 2016 | 77,000.00 |
| Jun 30, 2016 | 458,000.00 |
| Mar 31, 2016 | 572,000.00 |
| Dec 31, 2015 | 137,000.00 |
| Sep 30, 2015 | 157,000.00 |
| Jun 30, 2015 | 188,000.00 |
| Mar 31, 2015 | 137,000.00 |
| Dec 31, 2014 | 87,000.00 |
| Sep 30, 2014 | 167,000.00 |
| Jun 30, 2014 | 301,000.00 |
| Mar 31, 2014 | 323,000.00 |
| Dec 31, 2013 | 71,000.00 |
| Sep 30, 2013 | 70,000.00 |
API Access
Trex Interest Expenses 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=interest-expenses&ticker=TREX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "TREX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=TREX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();