Beazer Homes Usa (BZH) Operating Expenses (2010 - 2026)
Beazer Homes Usa (BZH) reported Operating Expenses of $55.39 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 4.3% from $53.1 million a year earlier and up 10.3% from the prior quarter.
Beazer Homes Usa (BZH) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Beazer Homes Usa's Operating Expenses came in at $211.32 million, up 4.2% year-over-year; for FY2025 (ended Sep 30, 2025), it was $204.83 million, up 1.8% from FY2024.
- Operating Expenses has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $201.21 million in FY2024 (+4.8%), $191.99 million in FY2023 (+0.7%), $190.68 million in FY2022 (+7.6%) and $177.26 million in FY2021 (-4.7%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Operating Expenses since fiscal Q3 2010.
- Year over year, Operating Expenses has now increased in each of the last 13 quarters, with growth averaging 7.0% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q1 2025 (growth of 18.5%); the low point was fiscal Q4 2021 (a decline of 12.1%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $50.19 million (Q2 2026), $52.99 million (Q1 2026) and $52.76 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 39.51 Bn | 29.81 Bn | 2.15 Bn | 991.20 Mn |
| 2 | Pultegroup | 21.76 Bn | 15.05 Bn | 1.06 Bn | 382.97 Mn |
| 3 | Lennar | 18.65 Bn | 9.03 Bn | 618.54 Mn | 7.59 Bn |
| 4 | Nvr | 16.04 Bn | 9.32 Bn | 485.14 Mn | 150.72 Mn |
| 5 | Toll Brothers | 12.77 Bn | 8.15 Bn | 625.22 Mn | 266.07 Mn |
| 6 | Champion Homes | 4.24 Bn | 1.72 Bn | - | - |
| 7 | Cavco Industries | 4.03 Bn | 2.78 Bn | - | - |
| 8 | Meritage Homes | 3.94 Bn | 865.28 Mn | 513.60 Mn | 52.38 Mn |
| 9 | M | 3.05 Bn | 121.36 Mn | 235.50 Mn | 958.69 Mn |
| 10 | Beazer Homes Usa | 913.12 Mn | 788.48 Mn | 66.10 Mn | 55.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.39 Mn |
| Mar 31, 2026 | 50.19 Mn |
| Dec 31, 2025 | 52.99 Mn |
| Sep 30, 2025 | 52.76 Mn |
| Jun 30, 2025 | 53.10 Mn |
| Mar 31, 2025 | 49.20 Mn |
| Dec 31, 2024 | 49.77 Mn |
| Sep 30, 2024 | 50.70 Mn |
| Jun 30, 2024 | 49.66 Mn |
| Mar 31, 2024 | 44.00 Mn |
| Dec 31, 2023 | 41.99 Mn |
| Sep 30, 2023 | 49.90 Mn |
| Jun 30, 2023 | 46.46 Mn |
| Mar 31, 2023 | 42.78 Mn |
| Dec 31, 2022 | 40.65 Mn |
| Sep 30, 2022 | 48.26 Mn |
| Jun 30, 2022 | 45.76 Mn |
| Mar 31, 2022 | 45.53 Mn |
| Dec 31, 2021 | 37.77 Mn |
| Sep 30, 2021 | 43.38 Mn |
Beazer Homes Usa 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=BZH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BZH", "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=BZH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();