Quanex Building Products (NX) Cost of Revenue (2010 - 2026)
Quanex Building Products' Cost of Revenue was $360.38 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 0.9% from $357.31 million a year earlier and up 4.6% from the prior quarter.
Quanex Building Products (NX) Cost of Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Quanex Building Products' Cost of Revenue was $1.37 billion through Jul 31, 2026, up 0.5% year-over-year; for FY2025 (ended Oct 31, 2025), it was $1.34 billion, up 37.7% from FY2024.
- Cost of Revenue shows a five-year compound annual growth rate of 15.2% (FY2020 to FY2025).
- In earlier fiscal years, Cost of Revenue was $972.24 million in FY2024 (+14.0%), $853.06 million in FY2023 (-10.5%), $953 million in FY2022 (+14.6%) and $831.54 million in FY2021 (+26.2%).
- The fiscal Q3 2026 figure marks the highest quarterly Cost of Revenue since fiscal Q4 2024.
- Compared with a year earlier, Cost of Revenue has increased for three straight quarters, with growth averaging 34.0% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was fiscal Q4 2024 (growth of 74.1%); the worst was fiscal Q2 2023 (a decline of 17.3%).
- Per Business Quant data, NX's Cost of Revenue in the three fiscal quarters before Q3 2026 was $344.58 million (Q2 2026), $310.56 million (Q1 2026) and $352.28 million (Q4 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 | Quanex Building Products | 871.10 Mn | 607.01 Mn | 141.47 Mn | 360.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 360.38 Mn |
| Apr 30, 2026 | 344.58 Mn |
| Jan 31, 2026 | 310.56 Mn |
| Oct 31, 2025 | 352.28 Mn |
| Jul 31, 2025 | 357.31 Mn |
| Apr 30, 2025 | 321.10 Mn |
| Jan 31, 2025 | 307.73 Mn |
| Oct 31, 2024 | 375.11 Mn |
| Jul 31, 2024 | 209.44 Mn |
| Apr 30, 2024 | 199.96 Mn |
| Jan 31, 2024 | 187.72 Mn |
| Oct 31, 2023 | 215.47 Mn |
| Jul 31, 2023 | 221.07 Mn |
| Apr 30, 2023 | 206.37 Mn |
| Jan 31, 2023 | 210.15 Mn |
| Oct 31, 2022 | 240.07 Mn |
| Jul 31, 2022 | 251.45 Mn |
| Apr 30, 2022 | 249.65 Mn |
| Jan 31, 2022 | 211.83 Mn |
| Oct 31, 2021 | 226.82 Mn |
Quanex Building Products 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=NX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "NX", "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=NX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();