Kb Home (KBH) Operating Expenses (2009 - 2026)
Kb Home's Operating Expenses came in at $148.09 million for fiscal Q3 2026 (quarter ended Aug 31, 2026), down 9.6% from $163.73 million a year earlier but up 4.3% from the prior quarter.
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Analysis
Kb Home (KBH) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 31, 2026, Kb Home reported Operating Expenses of $592.7 million, down 11.6% year-over-year; for FY2025 (ended Nov 30, 2025), it was $652.3 million, down 5.9% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $692.98 million in FY2024 (+8.6%), $637.82 million in FY2023 (+0.4%), $635.41 million in FY2022 (+9.7%) and $579.43 million in FY2021 (+22.0%).
- The five-year range for quarterly Operating Expenses is $132.59 million (fiscal Q1 2026) to $188.17 million (fiscal Q4 2024).
- Year-over-year, Operating Expenses has declined for seven consecutive quarters, with an average decline of 5.8% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2021 (growth of 32.6%), and the weakest in fiscal Q1 2026 (a decline of 13.8%).
- Business Quant data shows KBH's Operating Expenses at $142.04 million (Q2 2026), $132.59 million (Q1 2026) and $169.98 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 | Kb Home | 2.62 Bn | 1.82 Bn | -857.09 Mn | 148.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 148.09 Mn |
| May 31, 2026 | 142.04 Mn |
| Feb 28, 2026 | 132.59 Mn |
| Nov 30, 2025 | 169.98 Mn |
| Aug 31, 2025 | 163.73 Mn |
| May 31, 2025 | 164.77 Mn |
| Feb 28, 2025 | 153.83 Mn |
| Nov 30, 2024 | 188.17 Mn |
| Aug 31, 2024 | 173.07 Mn |
| May 31, 2024 | 172.70 Mn |
| Feb 29, 2024 | 159.04 Mn |
| Nov 30, 2023 | 164.95 Mn |
| Aug 31, 2023 | 161.63 Mn |
| May 31, 2023 | 170.66 Mn |
| Feb 28, 2023 | 140.59 Mn |
| Nov 30, 2022 | 156.86 Mn |
| Aug 31, 2022 | 164.75 Mn |
| May 31, 2022 | 169.98 Mn |
| Feb 28, 2022 | 143.83 Mn |
| Nov 30, 2021 | 164.30 Mn |
API Access
Kb Home 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=KBH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "KBH", "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=KBH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();