Trex (TREX) Change in Accured Expenses (2010 - 2026)
Trex's Change in Accured Expenses came in at $16.46 million for Q2 2026, up 72.8% from $9.52 million a year earlier and up 3.1% from the prior quarter.
Trex (TREX) Change in Accured Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Trex reported Change in Accured Expenses of $16.39 million, up 98.0% year-over-year; for FY2025, it came in at $8.77 million, down 27.9% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $12.16 million in FY2024 (+37.0%), $8.88 million in FY2023, -$14.39 million in FY2022 and -$5.29 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Change in Accured Expenses since Q3 2024.
- Year-over-year, Change in Accured Expenses increased in four of the last six quarters, with growth averaging 2.2%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q1 2024 (growth of 258.3%), and the weakest in Q3 2025 (a decline of 75.6%).
- Business Quant data shows TREX's Change in Accured Expenses at $15.96 million (Q1 2026), -$21.74 million (Q4 2025) and $5.71 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.77 Bn | 96.49 Bn | 2.26 Bn | - |
| 2 | Johnson Controls International | 89.79 Bn | 87.52 Bn | 2.47 Bn | 701.00 Mn |
| 3 | Comfort Systems Usa | 49.37 Bn | 44.62 Bn | 844.23 Mn | 210.62 Mn |
| 4 | Carrier Global | 46.49 Bn | 40.80 Bn | 1.94 Bn | 280.00 Mn |
| 5 | Otis Worldwide | 27.54 Bn | 23.96 Bn | 1.14 Bn | 49.00 Mn |
| 6 | James Hardie Industries | 15.37 Bn | 14.44 Bn | 548.70 Mn | -10.80 Mn |
| 7 | Masco | 14.88 Bn | 12.74 Bn | 868.00 Mn | 92.00 Mn |
| 8 | Carlisle Companies | 13.65 Bn | 9.99 Bn | 568.40 Mn | - |
| 9 | Allegion | 13.45 Bn | 12.16 Bn | 517.50 Mn | - |
| 10 | Trex | 5.00 Bn | 4.97 Bn | 158.34 Mn | 16.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.46 Mn |
| Mar 31, 2026 | 15.96 Mn |
| Dec 31, 2025 | -21.74 Mn |
| Sep 30, 2025 | 5.71 Mn |
| Jun 30, 2025 | 9.52 Mn |
| Mar 31, 2025 | 15.28 Mn |
| Dec 31, 2024 | -39.96 Mn |
| Sep 30, 2024 | 23.44 Mn |
| Jun 30, 2024 | 16.65 Mn |
| Mar 31, 2024 | 12.04 Mn |
| Dec 31, 2023 | -30.16 Mn |
| Sep 30, 2023 | 18.35 Mn |
| Jun 30, 2023 | 17.33 Mn |
| Mar 31, 2023 | 3.36 Mn |
| Dec 31, 2022 | -23.23 Mn |
| Sep 30, 2022 | -4.33 Mn |
| Jun 30, 2022 | 19.32 Mn |
| Mar 31, 2022 | -6.15 Mn |
| Dec 31, 2021 | -33.76 Mn |
| Sep 30, 2021 | 17.71 Mn |
Trex Change in Accured 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=change-in-accured-expenses&ticker=TREX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=TREX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();