Quanex Building Products (NX) Operating Expenses (2010 - 2026)
Quanex Building Products' Operating Expenses was $85.14 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), down 9.7% from $94.24 million a year earlier and down 4.7% from the prior quarter.
Quanex Building Products (NX) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Quanex Building Products' Operating Expenses was $345.2 million through Jul 31, 2026, down 5.3% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $351.46 million, up 55.9% from FY2024.
- Operating Expenses has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 23.5% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $225.37 million in FY2024 (+48.7%), $151.56 million in FY2023 (+5.2%), $144.01 million in FY2022 (-0.6%) and $144.81 million in FY2021 (+18.6%).
- Quarterly Operating Expenses has moved between $27.37 million (fiscal Q2 2023) and $97.79 million (fiscal Q4 2024) over five years.
- Compared with a year earlier, Operating Expenses was higher in five of the last eight quarters, with growth averaging 67.8%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q4 2024 (growth of 233.5%); the worst was fiscal Q4 2025 (a decline of 13.3%).
- Per Business Quant data, NX's Operating Expenses in the three fiscal quarters before Q3 2026 was $89.33 million (Q2 2026), $85.93 million (Q1 2026) and $84.8 million (Q4 2025).
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 | 90.21 Bn | 87.98 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn | 287.05 Mn |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn | 5.58 Bn |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn | 3.28 Bn |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn | 327.40 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 397.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 262.80 Mn |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn | 210.70 Mn |
| 10 | Quanex Building Products | 889.89 Mn | 625.79 Mn | 141.47 Mn | 85.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 85.14 Mn |
| Apr 30, 2026 | 89.33 Mn |
| Jan 31, 2026 | 85.93 Mn |
| Oct 31, 2025 | 84.80 Mn |
| Jul 31, 2025 | 94.24 Mn |
| Apr 30, 2025 | 83.97 Mn |
| Jan 31, 2025 | 88.45 Mn |
| Oct 31, 2024 | 97.79 Mn |
| Jul 31, 2024 | 44.61 Mn |
| Apr 30, 2024 | 42.61 Mn |
| Jan 31, 2024 | 40.26 Mn |
| Oct 31, 2023 | 29.33 Mn |
| Jul 31, 2023 | 30.52 Mn |
| Apr 30, 2023 | 27.37 Mn |
| Jan 31, 2023 | 36.74 Mn |
| Oct 31, 2022 | 29.33 Mn |
| Jul 31, 2022 | 28.82 Mn |
| Apr 30, 2022 | 28.13 Mn |
| Jan 31, 2022 | 30.82 Mn |
| Oct 31, 2021 | 27.67 Mn |
Quanex Building Products 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=NX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=NX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();