Smith Douglas Homes (SDHC) Accumulated Expenses (2023 - 2026)
Smith Douglas Homes' Accumulated Expenses was $26.52 million in Q2 2026, up 15.1% from $23.05 million a year earlier and up 5.7% from the prior quarter.
Smith Douglas Homes (SDHC) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Smith Douglas Homes came in at $26.43 million, down 18.3% from FY2024.
- In earlier years, Accumulated Expenses was $32.35 million in FY2024 (+20.4%) and $26.86 million in FY2023.
- The Q2 2026 figure marks the highest quarterly Accumulated Expenses since Q4 2024.
- Compared with a year earlier, Accumulated Expenses was higher in four of the last seven quarters, with growth averaging 1.8%.
- Per Business Quant data, SDHC's Accumulated Expenses in the three quarters before Q2 2026 was $25.09 million (Q1 2026), $26.43 million (Q4 2025) and $25.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Horton D R | 38.33 Bn | 29.22 Bn | 2.15 Bn |
| 2 | Pultegroup | 21.75 Bn | 15.04 Bn | 1.06 Bn |
| 3 | Lennar | 17.19 Bn | 6.61 Bn | 807.31 Mn |
| 4 | Nvr | 16.44 Bn | 9.72 Bn | 485.14 Mn |
| 5 | Toll Brothers | 12.42 Bn | 7.81 Bn | 625.22 Mn |
| 6 | Taylor Morrison Home | 6.77 Bn | 4.76 Bn | 290.64 Mn |
| 7 | Champion Homes | 4.74 Bn | 2.22 Bn | - |
| 8 | Cavco Industries | 4.34 Bn | 3.09 Bn | - |
| 9 | Meritage Homes | 4.10 Bn | 1.02 Bn | 513.60 Mn |
| 10 | Smith Douglas Homes | 521.12 Mn | 804.91 Mn | 47.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.52 Mn |
| Mar 31, 2026 | 25.09 Mn |
| Dec 31, 2025 | 26.43 Mn |
| Sep 30, 2025 | 25.99 Mn |
| Jun 30, 2025 | 23.05 Mn |
| Mar 31, 2025 | 20.71 Mn |
| Dec 31, 2024 | 32.35 Mn |
| Sep 30, 2024 | 33.27 Mn |
| Jun 30, 2024 | 25.80 Mn |
| Mar 31, 2024 | 19.37 Mn |
| Dec 31, 2023 | 26.86 Mn |
Smith Douglas Homes Accumulated 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=accumulated-expenses&ticker=SDHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=SDHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();