Nobility Homes (NOBH) Operating Expenses (2012 - 2026)
Nobility Homes' Operating Expenses came in at $1.38 million for fiscal Q3 2026 (quarter ended Aug 1, 2026), down 17.1% from $1.67 million a year earlier and down 9.7% from the prior quarter.
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Analysis
Nobility Homes (NOBH) Operating Expenses (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Nobility Homes reported Operating Expenses of $5.8 million, down 18.4% year-over-year; for FY2025 (ended Nov 1, 2025), it was $6.75 million, down 13.9% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $7.84 million in FY2024 (-3.0%), $8.09 million in FY2023 (+24.8%), $6.48 million in FY2022 (+22.5%) and $5.29 million in FY2021 (+6.1%).
- The five-year range for quarterly Operating Expenses is $1.14 million (fiscal Q4 2021) to $2.22 million (fiscal Q2 2023).
- Year-over-year, Operating Expenses has declined for seven consecutive quarters, with an average decline of 13.6% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2022 (growth of 77.8%), and the weakest in fiscal Q4 2025 (a decline of 19.0%).
- Business Quant data shows NOBH's Operating Expenses at $1.53 million (Q2 2026), $1.37 million (Q1 2026) and $1.51 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 39.23 Bn | 29.53 Bn | 2.15 Bn | 991.20 Mn |
| 2 | Pultegroup | 21.49 Bn | 14.78 Bn | 1.06 Bn | 382.97 Mn |
| 3 | Lennar | 18.48 Bn | 8.85 Bn | 618.54 Mn | 7.59 Bn |
| 4 | Nvr | 15.99 Bn | 9.28 Bn | 485.14 Mn | 150.72 Mn |
| 5 | Toll Brothers | 12.69 Bn | 8.07 Bn | 625.22 Mn | 266.07 Mn |
| 6 | Champion Homes | 4.23 Bn | 1.71 Bn | - | - |
| 7 | Cavco Industries | 4.02 Bn | 2.77 Bn | - | - |
| 8 | Meritage Homes | 3.91 Bn | 831.07 Mn | 513.60 Mn | 52.38 Mn |
| 9 | M | 2.95 Bn | 20.36 Mn | 235.50 Mn | 958.69 Mn |
| 10 | Nobility Homes | 85.81 Mn | 38.22 Mn | 3.49 Mn | 1.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.38 Mn |
| May 2, 2026 | 1.53 Mn |
| Jan 31, 2026 | 1.37 Mn |
| Nov 1, 2025 | 1.51 Mn |
| Aug 2, 2025 | 1.67 Mn |
| May 3, 2025 | 1.89 Mn |
| Feb 1, 2025 | 1.68 Mn |
| Nov 2, 2024 | 1.87 Mn |
| Aug 3, 2024 | 2.03 Mn |
| May 4, 2024 | 1.91 Mn |
| Feb 3, 2024 | 2.03 Mn |
| Nov 4, 2023 | 1.85 Mn |
| Aug 5, 2023 | 1.99 Mn |
| May 6, 2023 | 2.22 Mn |
| Feb 4, 2023 | 2.04 Mn |
| Nov 5, 2022 | 2.03 Mn |
| Aug 6, 2022 | 1.65 Mn |
| May 7, 2022 | 1.38 Mn |
| Feb 5, 2022 | 1.42 Mn |
| Nov 6, 2021 | 1.14 Mn |
API Access
Nobility Homes 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=NOBH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NOBH", "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=NOBH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();