Trex (TREX) Times Interest Earned (2010 - 2018)
Trex's Times Interest Earned was 3520.41 in FY2023.
Analysis
Trex (TREX) Times Interest Earned (2010 - 2018) Analysis & Trends
From FY2009 onward, Trex has reported Times Interest Earned for 10 years.
- The FY2023 figure marks the highest annual Times Interest Earned in data going back to FY2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 23.06 |
| 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 | 388.29 |
| 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 | 3.54 |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 16.79 |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 10.27 |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 12.86 |
| 10 | Trex | 4.44 Bn | 4.41 Bn | 158.34 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 156.10 |
| Mar 31, 2018 | 208.53 |
| Dec 31, 2017 | 468.91 |
| Sep 30, 2017 | 514.66 |
| Jun 30, 2017 | 178.46 |
| Mar 31, 2017 | 205.39 |
| Dec 31, 2016 | 1,162.29 |
| Sep 30, 2016 | 137.22 |
| Jun 30, 2016 | 79.95 |
| Mar 31, 2016 | 64.71 |
| Dec 31, 2015 | 96.75 |
| Sep 30, 2015 | 41.05 |
| Jun 30, 2015 | 159.85 |
| Mar 31, 2015 | 201.85 |
| Dec 31, 2014 | 100.38 |
| Sep 30, 2014 | 86.63 |
| Jun 30, 2014 | 82.00 |
| Mar 31, 2014 | 61.75 |
| Dec 31, 2013 | 60.94 |
| Sep 30, 2013 | -217.49 |
API Access
Trex Times Interest Earned 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=times-interest-earned&ticker=TREX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=TREX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();