Trex (TREX) Total Non-Current Liabilities (2010 - 2026)
Trex's Total Non-Current Liabilities came in at $590.11 million for Q2 2026, up 19.8% from $492.71 million a year earlier but down 16.8% from the prior quarter.
Trex (TREX) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Trex's Total Non-Current Liabilities was $394.85 million, down 15.9% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 20.1% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $469.73 million in FY2024 (+170.0%), $173.97 million in FY2023 (-52.7%), $368.16 million in FY2022 (+113.4%) and $172.49 million in FY2021 (+9.2%).
- The five-year range for quarterly Total Non-Current Liabilities is $172.49 million (Q4 2021) to $708.93 million (Q1 2026).
- Year-over-year, Total Non-Current Liabilities increased in seven of the last eight quarters, with growth averaging 36.8%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2024 (growth of 170.0%), and the weakest in Q4 2023 (a decline of 52.7%).
- Business Quant data shows TREX's Total Non-Current Liabilities at $708.93 million (Q1 2026), $394.85 million (Q4 2025) and $390.48 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 13.62 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 13.96 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 5.10 Bn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 21.79 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 16.58 Bn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 6.88 Bn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 5.38 Bn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 2.81 Bn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 4.36 Bn |
| 10 | Trex | 4.44 Bn | 4.41 Bn | 158.34 Mn | 590.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 590.11 Mn |
| Mar 31, 2026 | 708.93 Mn |
| Dec 31, 2025 | 394.85 Mn |
| Sep 30, 2025 | 390.48 Mn |
| Jun 30, 2025 | 492.71 Mn |
| Mar 31, 2025 | 676.96 Mn |
| Dec 31, 2024 | 469.73 Mn |
| Sep 30, 2024 | 361.79 Mn |
| Jun 30, 2024 | 356.51 Mn |
| Mar 31, 2024 | 470.58 Mn |
| Dec 31, 2023 | 173.97 Mn |
| Sep 30, 2023 | 287.29 Mn |
| Jun 30, 2023 | 424.50 Mn |
| Mar 31, 2023 | 550.87 Mn |
| Dec 31, 2022 | 368.16 Mn |
| Sep 30, 2022 | 264.11 Mn |
| Jun 30, 2022 | 223.59 Mn |
| Mar 31, 2022 | 229.22 Mn |
| Dec 31, 2021 | 172.49 Mn |
| Sep 30, 2021 | 208.68 Mn |
Trex Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=TREX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=TREX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();