Quanex Building Products (NX) Operating Leases (2020 - 2026)
Quanex Building Products' Operating Leases was $160.29 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 15.9% from $138.25 million a year earlier but down 2.8% from the prior quarter.
Quanex Building Products (NX) Operating Leases (2020 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Operating Leases at Quanex Building Products came in at $145.46 million, up 23.7% from FY2024.
- Operating Leases shows a five-year compound annual growth rate of 26.5% (FY2020 to FY2025).
- In earlier fiscal years, Operating Leases was $117.56 million in FY2024 (+191.3%), $40.36 million in FY2023 (-18.1%), $49.29 million in FY2022 (+8.6%) and $45.37 million in FY2021 (+1.1%).
- Quarterly Operating Leases has moved between $38.77 million (fiscal Q3 2022) and $168.67 million (fiscal Q1 2026) over five years.
- Compared with a year earlier, Operating Leases has increased for 11 straight quarters, with growth averaging 93.8% over the last eight quarters.
- The best year-over-year quarter for Operating Leases over five years was fiscal Q4 2024 (growth of 191.3%); the worst was fiscal Q3 2022 (a decline of 18.2%).
- Per Business Quant data, NX's Operating Leases in the three fiscal quarters before Q3 2026 was $164.96 million (Q2 2026), $168.67 million (Q1 2026) and $145.46 million (Q4 2025).
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 | 90.21 Bn | 87.98 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn |
| 10 | Quanex Building Products | 889.89 Mn | 625.79 Mn | 141.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 160.29 Mn |
| Apr 30, 2026 | 164.96 Mn |
| Jan 31, 2026 | 168.67 Mn |
| Oct 31, 2025 | 145.46 Mn |
| Jul 31, 2025 | 138.25 Mn |
| Apr 30, 2025 | 139.96 Mn |
| Jan 31, 2025 | 115.52 Mn |
| Oct 31, 2024 | 117.56 Mn |
| Jul 31, 2024 | 59.10 Mn |
| Apr 30, 2024 | 59.97 Mn |
| Jan 31, 2024 | 40.08 Mn |
| Oct 31, 2023 | 40.36 Mn |
| Jul 31, 2023 | 39.29 Mn |
| Apr 30, 2023 | 39.22 Mn |
| Jan 31, 2023 | 39.73 Mn |
| Oct 31, 2022 | 49.29 Mn |
| Jul 31, 2022 | 38.77 Mn |
| Apr 30, 2022 | 41.37 Mn |
| Jan 31, 2022 | 43.42 Mn |
| Oct 31, 2021 | 45.37 Mn |
Quanex Building Products Operating Leases 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-leases&ticker=NX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=NX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();