Dream Finders Homes (DFH) Shares Outstanding (Diluted) (2021 - 2026)
Dream Finders Homes (DFH) reported Weighted Average Shares Outstanding (Diluted) of 91.34 million for Q3 2026, down 9.2% from 100.64 million a year earlier and unchanged from the prior quarter.
Dream Finders Homes (DFH) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Dream Finders Homes posted Weighted Average Shares Outstanding (Diluted) of 101.3 million, up 1.0% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has a four-year compound annual growth rate of 1.5% (FY2021 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 100.3 million in FY2024 (-5.4%), 106.03 million in FY2023 (-0.6%), 106.69 million in FY2022 (+11.9%) and 95.31 million in FY2021.
- Five-year quarterly Weighted Average Shares Outstanding (Diluted) spans a low of 91.34 million in Q2 2026 and a high of 108.82 million in Q1 2023.
- Year over year, Weighted Average Shares Outstanding (Diluted) has now declined in each of the last three quarters, with an average decline of 3.7% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding (Diluted) in five years was Q3 2022 (growth of 16.8%); the low point was Q2 2026 (a decline of 10.4%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 91.34 million (Q2 2026), 92.43 million (Q1 2026) and 101.3 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 43.89 Bn | 34.20 Bn | 2.15 Bn | 283.00 Mn |
| 2 | Pultegroup | 25.40 Bn | 18.76 Bn | 1.07 Bn | 187.84 Mn |
| 3 | Lennar | 21.84 Bn | 12.21 Bn | 618.54 Mn | 237.76 Mn |
| 4 | Nvr | 16.88 Bn | 11.02 Bn | 482.36 Mn | 2.78 Mn |
| 5 | Toll Brothers | 14.71 Bn | 10.09 Bn | 625.22 Mn | 94.45 Mn |
| 6 | Champion Homes | 5.23 Bn | 2.44 Bn | 185.60 Mn | 54.49 Mn |
| 7 | Cavco Industries | 5.16 Bn | 4.11 Bn | 147.61 Mn | 7.73 Mn |
| 8 | Meritage Homes | 4.64 Bn | 1.61 Bn | 410.22 Mn | 66.13 Mn |
| 9 | M | 3.46 Bn | 649.29 Mn | - | 25.95 Mn |
| 10 | Dream Finders Homes | 1.17 Bn | 53.44 Mn | 147.39 Mn | 90.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 90.63 Mn |
| Jun 30, 2026 | 91.34 Mn |
| Mar 31, 2026 | 92.43 Mn |
| Dec 31, 2025 | 101.30 Mn |
| Sep 30, 2025 | 100.64 Mn |
| Jun 30, 2025 | 101.91 Mn |
| Mar 31, 2025 | 101.36 Mn |
| Dec 31, 2024 | 100.30 Mn |
| Sep 30, 2024 | 100.74 Mn |
| Jun 30, 2024 | 100.13 Mn |
| Mar 31, 2024 | 99.94 Mn |
| Dec 31, 2023 | 106.03 Mn |
| Sep 30, 2023 | 102.05 Mn |
| Jun 30, 2023 | 105.44 Mn |
| Mar 31, 2023 | 108.82 Mn |
| Dec 31, 2022 | 106.69 Mn |
| Sep 30, 2022 | 108.29 Mn |
| Jun 30, 2022 | 104.57 Mn |
| Mar 31, 2022 | 102.50 Mn |
| Dec 31, 2021 | 95.31 Mn |
Dream Finders Homes Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=DFH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "DFH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding-diluted&ticker=DFH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();