Smith Douglas Homes (SDHC) Selling, General & Administrative (2023 - 2026)
Smith Douglas Homes (SDHC) posted Selling, General & Administrative of $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) Selling, General & Administrative (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Smith Douglas Homes was $149.91 million, up 3.6% year-over-year; for FY2025, it was $139.78 million, up 2.5% from FY2024.
- In prior years, Smith Douglas Homes' Selling, General & Administrative was $136.38 million in FY2024 (+47.5%) and $92.44 million in FY2023.
- The Q2 2026 figure stands as the highest quarterly Selling, General & Administrative since Q4 2024.
- On a year-over-year basis, Selling, General & Administrative increased in seven of the last eight quarters, with growth averaging 18.9%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q4 2024, with growth of 54.5%; the weakest was Q4 2025, with a decline of 16.1%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $35.91 million (Q1 2026), $35.99 million (Q4 2025) and $36.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 37.89 Bn | 28.78 Bn | 2.15 Bn | 991.20 Mn |
| 2 | Pultegroup | 21.69 Bn | 14.98 Bn | 1.06 Bn | 382.97 Mn |
| 3 | Lennar | 16.59 Bn | 6.36 Bn | 618.54 Mn | 137.88 Mn |
| 4 | Nvr | 15.98 Bn | 9.26 Bn | 485.14 Mn | 150.72 Mn |
| 5 | Toll Brothers | 12.59 Bn | 7.97 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 | 4.87 Bn | 2.35 Bn | - | - |
| 8 | Cavco Industries | 4.53 Bn | 3.28 Bn | - | - |
| 9 | Meritage Homes | 4.16 Bn | 1.08 Bn | 513.60 Mn | 52.38 Mn |
| 10 | Smith Douglas Homes | 518.54 Mn | 802.33 Mn | 47.92 Mn | 41.91 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 Selling, General & Administrative 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=selling-general-and-administrative&ticker=SDHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=SDHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();