Smith Douglas Homes (SDHC) Price to Book (2024 - 2026)
Smith Douglas Homes' Price to Book came in at 1.85 for Q2 2026, down 23.2% from 2.41 a year earlier but up 22.2% from the prior quarter.
Analysis
Smith Douglas Homes (SDHC) Price to Book (2024 - 2026) Analysis & Trends
For FY2025, Smith Douglas Homes' Price to Book was 1.94, down 40.6% from FY2024.
- Going back by year, Price to Book was 3.27 in FY2024.
- The five-year range for quarterly Price to Book is 1.51 (Q1 2026) to 5.20 (Q3 2024).
- Year-over-year, Price to Book has declined for six consecutive quarters, with an average decline of 39.7% over the last six quarters.
- Business Quant data shows SDHC's Price to Book at 1.51 (Q1 2026), 1.94 (Q4 2025) and 2.13 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.85 |
| Mar 31, 2026 | 1.51 |
| Dec 31, 2025 | 1.94 |
| Sep 30, 2025 | 2.13 |
| Jun 30, 2025 | 2.41 |
| Mar 31, 2025 | 2.47 |
| Dec 31, 2024 | 3.27 |
| Sep 30, 2024 | 5.20 |
| Jun 30, 2024 | 3.48 |
| Mar 31, 2024 | 4.57 |
API Access
Smith Douglas Homes Price to Book 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=price-to-book&ticker=SDHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=SDHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();