Trex (TREX) Operating Expenses (2010 - 2026)
Trex (TREX) posted Operating Expenses of $67.48 million for Q2 2026, up 21.1% from $55.73 million a year earlier and up 21.5% from the prior quarter.
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Analysis
Trex (TREX) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Trex was $213.2 million, up 12.2% year-over-year; for FY2025, it was $202 million, up 12.2% from FY2024.
- Annual Operating Expenses has increased for 11 consecutive years, with a five-year compound annual growth rate of 9.9% (FY2020 to FY2025).
- In prior years, Trex's Operating Expenses was $180 million in FY2024 (+2.2%), $176.2 million in FY2023 (+24.2%), $141.83 million in FY2022 (+1.6%) and $139.62 million in FY2021 (+11.0%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q2 2010.
- On a year-over-year basis, Operating Expenses increased in five of the last eight quarters, with growth averaging 6.3%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2023, with growth of 65.8%; the weakest was Q3 2022, with a decline of 20.8%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $55.52 million (Q1 2026), $45.16 million (Q4 2025) and $45.04 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 287.05 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 5.58 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 3.28 Bn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 327.40 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 397.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 262.80 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 210.70 Mn |
| 10 | Trex | 4.44 Bn | 4.41 Bn | 158.34 Mn | 67.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 67.48 Mn |
| Mar 31, 2026 | 55.52 Mn |
| Dec 31, 2025 | 45.16 Mn |
| Sep 30, 2025 | 45.04 Mn |
| Jun 30, 2025 | 55.73 Mn |
| Mar 31, 2025 | 56.07 Mn |
| Dec 31, 2024 | 39.29 Mn |
| Sep 30, 2024 | 38.90 Mn |
| Jun 30, 2024 | 51.21 Mn |
| Mar 31, 2024 | 50.60 Mn |
| Dec 31, 2023 | 42.51 Mn |
| Sep 30, 2023 | 44.53 Mn |
| Jun 30, 2023 | 51.68 Mn |
| Mar 31, 2023 | 37.48 Mn |
| Dec 31, 2022 | 35.44 Mn |
| Sep 30, 2022 | 26.86 Mn |
| Jun 30, 2022 | 39.57 Mn |
| Mar 31, 2022 | 39.96 Mn |
| Dec 31, 2021 | 36.74 Mn |
| Sep 30, 2021 | 33.93 Mn |
API Access
Trex Operating 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=operating-expenses&ticker=TREX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=TREX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();