Quanex Building Products (NX) Accumulated Expenses (2010 - 2026)
Quanex Building Products' Accumulated Expenses came in at $88.21 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 7.5% from $95.38 million a year earlier but up 3.0% from the prior quarter.
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Analysis
Quanex Building Products (NX) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Quanex Building Products' Accumulated Expenses was $95.16 million, down 8.2% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 20.0% (FY2020 to FY2025).
- Going back by fiscal year, Accumulated Expenses was $103.62 million in FY2024 (+105.9%), $50.32 million in FY2023 (-3.4%), $52.11 million in FY2022 (-7.2%) and $56.16 million in FY2021 (+46.7%).
- The five-year range for quarterly Accumulated Expenses is $39.56 million (fiscal Q1 2022) to $103.62 million (fiscal Q4 2024).
- Year-over-year, Accumulated Expenses has declined for four consecutive quarters, with growth averaging 39.4% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q4 2024 (growth of 105.9%), and the weakest in fiscal Q4 2025 (a decline of 8.2%).
- Business Quant data shows NX's Accumulated Expenses at $85.67 million (Q2 2026), $77.33 million (Q1 2026) and $95.16 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn |
| 10 | Quanex Building Products | 864.68 Mn | 600.59 Mn | 141.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 88.21 Mn |
| Apr 30, 2026 | 85.67 Mn |
| Jan 31, 2026 | 77.33 Mn |
| Oct 31, 2025 | 95.16 Mn |
| Jul 31, 2025 | 95.38 Mn |
| Apr 30, 2025 | 91.57 Mn |
| Jan 31, 2025 | 81.30 Mn |
| Oct 31, 2024 | 103.62 Mn |
| Jul 31, 2024 | 54.80 Mn |
| Apr 30, 2024 | 48.85 Mn |
| Jan 31, 2024 | 46.48 Mn |
| Oct 31, 2023 | 50.32 Mn |
| Jul 31, 2023 | 54.24 Mn |
| Apr 30, 2023 | 44.66 Mn |
| Jan 31, 2023 | 46.06 Mn |
| Oct 31, 2022 | 52.11 Mn |
| Jul 31, 2022 | 51.45 Mn |
| Apr 30, 2022 | 40.74 Mn |
| Jan 31, 2022 | 39.56 Mn |
| Oct 31, 2021 | 56.16 Mn |
API Access
Quanex Building Products Accumulated 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=accumulated-expenses&ticker=NX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=NX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();