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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 41.35 Bn | 31.65 Bn | 2.15 Bn | 991.20 Mn |
| 2 | Pultegroup | 22.39 Bn | 15.68 Bn | 1.06 Bn | 382.97 Mn |
| 3 | Lennar | 19.97 Bn | 10.34 Bn | 618.54 Mn | 7.59 Bn |
| 4 | Nvr | 16.44 Bn | 9.72 Bn | 485.14 Mn | 150.72 Mn |
| 5 | Toll Brothers | 13.15 Bn | 8.53 Bn | 625.22 Mn | 266.07 Mn |
| 6 | Champion Homes | 4.42 Bn | 1.90 Bn | - | - |
| 7 | Cavco Industries | 4.22 Bn | 2.97 Bn | - | - |
| 8 | Meritage Homes | 4.16 Bn | 1.08 Bn | 513.60 Mn | 52.38 Mn |
| 9 | M | 3.15 Bn | 218.51 Mn | 235.50 Mn | 958.69 Mn |
| 10 | Kb Home | 2.80 Bn | 2.01 Bn | -857.09 Mn | 148.09 Mn |
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 |
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_KEY
import 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();