Smith Douglas Homes (SDHC) Operating Expenses (2023 - 2026)
Smith Douglas Homes' Operating Expenses came in at $41.91 million for Q2 2026, up 20.8% from $34.7 million a year earlier and up 16.7% from the prior quarter.
Smith Douglas Homes (SDHC) Operating Expenses (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Smith Douglas Homes reported Operating Expenses of $149.91 million, up 3.6% year-over-year; for FY2025, it came in at $139.78 million, up 2.5% from FY2024.
- Going back by year, Operating Expenses was $136.38 million in FY2024 (+47.5%) and $92.44 million in FY2023.
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q4 2024.
- Year-over-year, Operating Expenses increased in seven of the last eight quarters, with growth averaging 18.9%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2024 (growth of 54.5%), and the weakest in Q4 2025 (a decline of 16.1%).
- Business Quant data shows SDHC's Operating Expenses at $35.91 million (Q1 2026), $35.99 million (Q4 2025) and $36.09 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 43.89 Bn | 34.20 Bn | 2.15 Bn | 991.20 Mn |
| 2 | Pultegroup | 25.40 Bn | 18.76 Bn | 1.07 Bn | 397.20 Mn |
| 3 | Lennar | 21.84 Bn | 12.21 Bn | 618.54 Mn | 7.59 Bn |
| 4 | Nvr | 16.88 Bn | 11.02 Bn | 482.36 Mn | 135.02 Mn |
| 5 | Toll Brothers | 14.71 Bn | 10.09 Bn | 625.22 Mn | 266.07 Mn |
| 6 | Champion Homes | 5.23 Bn | 2.44 Bn | 185.60 Mn | 119.82 Mn |
| 7 | Cavco Industries | 5.16 Bn | 4.11 Bn | 147.61 Mn | 77.71 Mn |
| 8 | Meritage Homes | 4.64 Bn | 1.61 Bn | 410.22 Mn | 45.17 Mn |
| 9 | M | 3.46 Bn | 649.29 Mn | - | 989.19 Mn |
| 10 | Smith Douglas Homes | 82.83 Mn | 21.98 Mn | 42.72 Mn | 40.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 40.38 Mn |
| Jun 30, 2026 | 41.91 Mn |
| Mar 31, 2026 | 35.91 Mn |
| Dec 31, 2025 | 35.99 Mn |
| Sep 30, 2025 | 36.09 Mn |
| Jun 30, 2025 | 34.70 Mn |
| Mar 31, 2025 | 33.00 Mn |
| Dec 31, 2024 | 42.90 Mn |
| Sep 30, 2024 | 34.14 Mn |
| Jun 30, 2024 | 31.81 Mn |
| Mar 31, 2024 | 27.54 Mn |
| Dec 31, 2023 | 27.77 Mn |
| Sep 30, 2023 | 22.95 Mn |
| Jun 30, 2023 | 21.93 Mn |
| Mar 31, 2023 | 19.79 Mn |
Smith Douglas Homes 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=SDHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SDHC", "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=SDHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();