Quanex Building Products (NX) Accumulated Expenses (2009 - 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.
Quanex Building Products (NX) Accumulated Expenses (2009 - 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 92.12 Bn | 86.76 Bn | 2.38 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 |
| 4 | Comfort Systems Usa | 38.65 Bn | 32.60 Bn | 934.48 Mn |
| 5 | Otis Worldwide | 29.75 Bn | 26.31 Bn | 1.16 Bn |
| 6 | James Hardie Industries | 16.90 Bn | 16.08 Bn | 562.40 Mn |
| 7 | Masco | 16.35 Bn | 14.41 Bn | 720.00 Mn |
| 8 | Allegion | 15.98 Bn | 14.60 Bn | 548.20 Mn |
| 9 | Carlisle Companies | 15.35 Bn | 12.26 Bn | 494.90 Mn |
| 10 | Quanex Building Products | 970.54 Mn | 706.44 Mn | 141.47 Mn |
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 |
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_KEY
import 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();