Trex (TREX) Cost of Revenue (2010 - 2026)
Trex's Cost of Revenue was $259.68 million in Q2 2026, up 13.1% from $229.67 million a year earlier and up 27.1% from the prior quarter.
Trex (TREX) Cost of Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Trex's Cost of Revenue was $746.43 million through Jun 30, 2026, up 11.6% year-over-year; for FY2025, it came in at $714.3 million, up 10.0% from FY2024.
- Cost of Revenue shows a five-year compound annual growth rate of 6.5% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $649.55 million in FY2024 (+0.9%), $644.04 million in FY2023 (-8.3%), $702.05 million in FY2022 (-4.7%) and $736.45 million in FY2021 (+41.3%).
- The Q2 2026 figure marks the highest quarterly Cost of Revenue in data going back to Q2 2010.
- Compared with a year earlier, Cost of Revenue has increased for five straight quarters, with growth averaging 2.3% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was Q3 2021 (growth of 41.7%); the worst was Q4 2022 (a decline of 31.9%).
- Per Business Quant data, TREX's Cost of Revenue in the three quarters before Q2 2026 was $204.38 million (Q1 2026), $112.46 million (Q4 2025) and $169.91 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn | 4.09 Bn |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn | 4.14 Bn |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn | 2.42 Bn |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn | 4.41 Bn |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn | 2.72 Bn |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn | 925.90 Mn |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn | 1.12 Bn |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn | 634.00 Mn |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn | 1.00 Bn |
| 10 | Trex | 4.44 Bn | 4.41 Bn | 158.34 Mn | 259.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 259.68 Mn |
| Mar 31, 2026 | 204.38 Mn |
| Dec 31, 2025 | 112.46 Mn |
| Sep 30, 2025 | 169.91 Mn |
| Jun 30, 2025 | 229.67 Mn |
| Mar 31, 2025 | 202.26 Mn |
| Dec 31, 2024 | 96.66 Mn |
| Sep 30, 2024 | 140.51 Mn |
| Jun 30, 2024 | 208.36 Mn |
| Mar 31, 2024 | 204.02 Mn |
| Dec 31, 2023 | 126.72 Mn |
| Sep 30, 2023 | 172.94 Mn |
| Jun 30, 2023 | 200.09 Mn |
| Mar 31, 2023 | 144.29 Mn |
| Dec 31, 2022 | 126.60 Mn |
| Sep 30, 2022 | 142.26 Mn |
| Jun 30, 2022 | 228.87 Mn |
| Mar 31, 2022 | 204.32 Mn |
| Dec 31, 2021 | 185.78 Mn |
| Sep 30, 2021 | 207.62 Mn |
Trex Cost of Revenue 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=cost-of-revenue&ticker=TREX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=TREX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();