Trex (TREX) Total Liabilities (2010 - 2026)
Trex (TREX) recorded Total Liabilities of $616.39 million in Q2 2026, up 20.5% from $511.62 million a year earlier but down 16.0% from the prior quarter.
Trex (TREX) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Trex reported Total Liabilities of $419.18 million, down 13.9% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 18.2% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $486.84 million in FY2024 (+154.5%), $191.29 million in FY2023 (-50.8%), $389.16 million in FY2022 (+99.3%) and $195.29 million in FY2021 (+7.3%).
- Quarterly Total Liabilities has ranged from $191.29 million in Q4 2023 to $734.05 million in Q1 2026 over the past five years.
- On a year-over-year basis, Total Liabilities rose in seven of the last eight quarters, with growth averaging 34.7%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 154.5% in Q4 2024, against a decline of 50.8% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $734.05 million (Q1 2026), $419.18 million (Q4 2025) and $410 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.53 Bn | 96.27 Bn | 2.26 Bn | 15.28 Bn |
| 2 | Johnson Controls International | 89.61 Bn | 87.38 Bn | 2.47 Bn | 25.24 Bn |
| 3 | Comfort Systems Usa | 49.18 Bn | 44.43 Bn | 844.23 Mn | 5.27 Bn |
| 4 | Carrier Global | 46.29 Bn | 40.92 Bn | 1.94 Bn | 23.90 Bn |
| 5 | Otis Worldwide | 27.44 Bn | 24.04 Bn | 1.14 Bn | 16.90 Bn |
| 6 | James Hardie Industries | 15.35 Bn | 14.42 Bn | 548.70 Mn | 6.95 Bn |
| 7 | Masco | 14.72 Bn | 12.83 Bn | 868.00 Mn | 5.77 Bn |
| 8 | Carlisle Companies | 13.52 Bn | 9.87 Bn | 568.40 Mn | 4.62 Bn |
| 9 | Allegion | 13.36 Bn | 12.07 Bn | 517.50 Mn | 3.24 Bn |
| 10 | Trex | 4.97 Bn | 4.95 Bn | 158.34 Mn | 616.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 616.39 Mn |
| Mar 31, 2026 | 734.05 Mn |
| Dec 31, 2025 | 419.18 Mn |
| Sep 30, 2025 | 410.00 Mn |
| Jun 30, 2025 | 511.62 Mn |
| Mar 31, 2025 | 694.14 Mn |
| Dec 31, 2024 | 486.84 Mn |
| Sep 30, 2024 | 379.32 Mn |
| Jun 30, 2024 | 375.03 Mn |
| Mar 31, 2024 | 488.81 Mn |
| Dec 31, 2023 | 191.29 Mn |
| Sep 30, 2023 | 305.16 Mn |
| Jun 30, 2023 | 446.29 Mn |
| Mar 31, 2023 | 572.94 Mn |
| Dec 31, 2022 | 389.16 Mn |
| Sep 30, 2022 | 285.36 Mn |
| Jun 30, 2022 | 245.82 Mn |
| Mar 31, 2022 | 251.33 Mn |
| Dec 31, 2021 | 195.29 Mn |
| Sep 30, 2021 | 232.64 Mn |
Trex Total 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-liabilities&ticker=TREX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=TREX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();