Trex (TREX) Interest Coverage Ratio (2010 - 2018)
Trex's (TREX) Interest Coverage Ratio came in at 3520.41 for FY2023.
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Analysis
Trex (TREX) Interest Coverage Ratio (2010 - 2018) Analysis & Trends
Since FY2009, Trex has reported Interest Coverage Ratio for 10 years.
- The FY2023 figure stands as the highest annual Interest Coverage Ratio in data going back to FY2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Cover (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 Interest Coverage Ratio 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-coverage-ratio&ticker=TREX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-coverage-ratio", "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-coverage-ratio&ticker=TREX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();