Hovnanian Enterprises (HOV) Operating Expenses (2010 - 2026)
Hovnanian Enterprises (HOV) recorded Operating Expenses of $711.92 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), down 10.1% from $792.29 million a year earlier but up 6.9% from the prior quarter.
Hovnanian Enterprises (HOV) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Hovnanian Enterprises' Operating Expenses came in at $2.79 billion as of Jul 31, 2026, down 6.6% year-over-year; for FY2025 (ended Oct 31, 2025), it was $2.91 billion, up 6.0% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $2.74 billion in FY2024 (+8.9%), $2.52 billion in FY2023 (-4.1%), $2.62 billion in FY2022 (+1.0%) and $2.6 billion in FY2021 (+12.1%).
- Quarterly Operating Expenses has ranged from $504.48 million in fiscal Q1 2023 to $877.22 million in fiscal Q4 2024 over the past five years.
- On a year-over-year basis, Operating Expenses has declined for four consecutive quarters, with growth averaging 3.5% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 24.5% in fiscal Q3 2025, against a decline of 12.6% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $666.2 million (Q2 2026), $606.69 million (Q1 2026) and $801.18 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 39.58 Bn | 29.89 Bn | 2.15 Bn | 991.20 Mn |
| 2 | Pultegroup | 21.70 Bn | 14.99 Bn | 1.06 Bn | 382.97 Mn |
| 3 | Lennar | 18.70 Bn | 9.07 Bn | 618.54 Mn | 7.59 Bn |
| 4 | Nvr | 16.10 Bn | 9.38 Bn | 485.14 Mn | 150.72 Mn |
| 5 | Toll Brothers | 12.72 Bn | 8.09 Bn | 625.22 Mn | 266.07 Mn |
| 6 | Champion Homes | 4.26 Bn | 1.74 Bn | - | - |
| 7 | Cavco Industries | 4.04 Bn | 2.79 Bn | - | - |
| 8 | Meritage Homes | 3.96 Bn | 886.66 Mn | 513.60 Mn | 52.38 Mn |
| 9 | M | 3.17 Bn | 242.64 Mn | 235.50 Mn | 958.69 Mn |
| 10 | Hovnanian Enterprises | 609.72 Mn | -562.98 Mn | 106.58 Mn | 711.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 711.92 Mn |
| Apr 30, 2026 | 666.20 Mn |
| Jan 31, 2026 | 606.69 Mn |
| Oct 31, 2025 | 801.18 Mn |
| Jul 31, 2025 | 792.29 Mn |
| Apr 30, 2025 | 669.38 Mn |
| Jan 31, 2025 | 642.97 Mn |
| Oct 31, 2024 | 877.22 Mn |
| Jul 31, 2024 | 636.13 Mn |
| Apr 30, 2024 | 650.15 Mn |
| Jan 31, 2024 | 577.96 Mn |
| Oct 31, 2023 | 766.28 Mn |
| Jul 31, 2023 | 583.89 Mn |
| Apr 30, 2023 | 662.95 Mn |
| Jan 31, 2023 | 504.48 Mn |
| Oct 31, 2022 | 800.42 Mn |
| Jul 31, 2022 | 668.22 Mn |
| Apr 30, 2022 | 617.97 Mn |
| Jan 31, 2022 | 538.10 Mn |
| Oct 31, 2021 | 732.74 Mn |
Hovnanian Enterprises 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=HOV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HOV", "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=HOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();