Smith Douglas Homes (SDHC) Net Cash Flow (2023 - 2026)
Smith Douglas Homes (SDHC) reported Net Cash Flow of -$13.79 million for Q2 2026, compared with $4.13 million a year earlier.
Smith Douglas Homes (SDHC) Net Cash Flow (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Smith Douglas Homes' Net Cash Flow came in at -$2.58 million; for FY2025, it came in at -$9.62 million.
- By year, Net Cash Flow came in at $2.59 million in FY2024 and -$9.82 million in FY2023.
- The Q2 2026 figure ranks as the lowest quarterly Net Cash Flow since Q2 2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at $15.25 million (Q1 2026), -$2.03 million (Q4 2025) and -$2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 38.33 Bn | 29.22 Bn | 2.15 Bn | 160.70 Mn |
| 2 | Pultegroup | 21.75 Bn | 15.04 Bn | 1.06 Bn | -466.05 Mn |
| 3 | Lennar | 17.19 Bn | 6.61 Bn | 807.31 Mn | -221.03 Mn |
| 4 | Nvr | 16.44 Bn | 9.72 Bn | 485.14 Mn | -532.43 Mn |
| 5 | Toll Brothers | 12.42 Bn | 7.81 Bn | 625.22 Mn | -41.86 Mn |
| 6 | Taylor Morrison Home | 6.77 Bn | 4.76 Bn | 290.64 Mn | -197.80 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 | 40.64 Mn |
| 10 | Smith Douglas Homes | 521.12 Mn | 804.91 Mn | 47.92 Mn | -13.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -13.79 Mn |
| Mar 31, 2026 | 15.25 Mn |
| Dec 31, 2025 | -2.03 Mn |
| Sep 30, 2025 | -2.00 Mn |
| Jun 30, 2025 | 4.13 Mn |
| Mar 31, 2025 | -9.71 Mn |
| Dec 31, 2024 | -1.35 Mn |
| Sep 30, 2024 | 6.42 Mn |
| Jun 30, 2024 | -15.48 Mn |
| Mar 31, 2024 | 13.00 Mn |
| Dec 31, 2023 | 9.34 Mn |
| Sep 30, 2023 | -952,000.00 |
| Jun 30, 2023 | -1.00 Mn |
| Mar 31, 2023 | -17.21 Mn |
Smith Douglas Homes Net Cash Flow 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=net-cash-flow&ticker=SDHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=SDHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();