Pultegroup (PHM) Operating Expenses (2009 - 2026)
Pultegroup (PHM) recorded Operating Expenses of $382.97 million in Q2 2026, down 1.9% from $390.45 million a year earlier but up 0.7% from the prior quarter.
Pultegroup (PHM) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Pultegroup's Operating Expenses came in at $1.55 billion as of Jun 30, 2026, up 12.1% year-over-year; for FY2025, it was $1.57 billion, up 19.1% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $1.32 billion in FY2024 (+0.7%), $1.31 billion in FY2023 (-5.0%), $1.38 billion in FY2022 (+14.3%) and $1.21 billion in FY2021 (+19.5%).
- Quarterly Operating Expenses has ranged from $195.64 million in Q4 2024 to $406.9 million in Q3 2024 over the past five years.
- On a year-over-year basis, Operating Expenses rose in four of the last eight quarters, with growth averaging 11.1%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 99.1% in Q4 2025, against a decline of 36.5% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $380.33 million (Q1 2026), $389.46 million (Q4 2025) and $400.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 39.14 Bn | 30.03 Bn | 2.15 Bn | 991.20 Mn |
| 2 | Pultegroup | 22.34 Bn | 15.63 Bn | 1.06 Bn | 382.97 Mn |
| 3 | Lennar | 17.27 Bn | 6.70 Bn | 807.31 Mn | 7.54 Bn |
| 4 | Nvr | 16.72 Bn | 10.01 Bn | 485.14 Mn | 150.72 Mn |
| 5 | Toll Brothers | 12.58 Bn | 7.96 Bn | 625.22 Mn | 266.07 Mn |
| 6 | Taylor Morrison Home | 6.77 Bn | 4.76 Bn | 290.64 Mn | 58.97 Mn |
| 7 | Champion Homes | 4.80 Bn | 2.28 Bn | - | - |
| 8 | Cavco Industries | 4.31 Bn | 3.07 Bn | - | - |
| 9 | Meritage Homes | 4.24 Bn | 1.16 Bn | 513.60 Mn | 52.38 Mn |
| 10 | M | 3.48 Bn | 550.71 Mn | 235.50 Mn | 958.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 382.97 Mn |
| Mar 31, 2026 | 380.33 Mn |
| Dec 31, 2025 | 389.46 Mn |
| Sep 30, 2025 | 400.68 Mn |
| Jun 30, 2025 | 390.45 Mn |
| Mar 31, 2025 | 393.34 Mn |
| Dec 31, 2024 | 195.64 Mn |
| Sep 30, 2024 | 406.90 Mn |
| Jun 30, 2024 | 361.15 Mn |
| Mar 31, 2024 | 357.59 Mn |
| Dec 31, 2023 | 308.32 Mn |
| Sep 30, 2023 | 353.17 Mn |
| Jun 30, 2023 | 314.64 Mn |
| Mar 31, 2023 | 336.52 Mn |
| Dec 31, 2022 | 350.83 Mn |
| Sep 30, 2022 | 350.11 Mn |
| Jun 30, 2022 | 351.26 Mn |
| Mar 31, 2022 | 329.02 Mn |
| Dec 31, 2021 | 344.22 Mn |
| Sep 30, 2021 | 320.51 Mn |
Pultegroup 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=PHM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PHM", "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=PHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();