Quanex Building Products (NX) Operating Expenses (2009 - 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 (2009 - 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 | 92.12 Bn | 86.76 Bn | 2.38 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 85.49 Bn | 85.52 Bn | 2.71 Bn | - |
| 3 | Carrier Global | 43.38 Bn | 38.12 Bn | 1.90 Bn | 5.49 Bn |
| 4 | Comfort Systems Usa | 38.65 Bn | 32.60 Bn | 934.48 Mn | 314.17 Mn |
| 5 | Otis Worldwide | 29.75 Bn | 26.31 Bn | 1.16 Bn | 3.29 Bn |
| 6 | James Hardie Industries | 16.90 Bn | 16.08 Bn | 562.40 Mn | 283.90 Mn |
| 7 | Masco | 16.35 Bn | 14.41 Bn | 720.00 Mn | 381.00 Mn |
| 8 | Allegion | 15.98 Bn | 14.60 Bn | 548.20 Mn | 263.60 Mn |
| 9 | Carlisle Companies | 15.35 Bn | 12.26 Bn | 494.90 Mn | 198.00 Mn |
| 10 | Quanex Building Products | 970.54 Mn | 706.44 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();