Dream Finders Homes (DFH) Shares Outstanding (Diluted) (2021 - 2026)
Dream Finders Homes (DFH) reported Shares Outstanding (Diluted) of 91.34 million for Q2 2026, down 10.4% from 101.91 million a year earlier and down 1.2% from the prior quarter.
Dream Finders Homes (DFH) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Dream Finders Homes posted Shares Outstanding (Diluted) of 101.3 million, up 1.0% from FY2024.
- Shares Outstanding (Diluted) has a four-year compound annual growth rate of 1.5% (FY2021 to FY2025).
- By year, 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.
- The Q2 2026 figure ranks as the lowest quarterly Shares Outstanding (Diluted) in data going back to Q1 2021.
- Year over year, Shares Outstanding (Diluted) gained in three of the last eight quarters, with an average decline of 2.7%.
- The high point for year-over-year 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 Q2 2026 came in at 92.43 million (Q1 2026), 101.3 million (Q4 2025) and 100.64 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 38.33 Bn | 29.22 Bn | 2.15 Bn | 283.00 Mn |
| 2 | Pultegroup | 21.75 Bn | 15.04 Bn | 1.06 Bn | 190.58 Mn |
| 3 | Lennar | 17.19 Bn | 6.61 Bn | 807.31 Mn | 240.78 Mn |
| 4 | Nvr | 16.44 Bn | 9.72 Bn | 485.14 Mn | 2.82 Mn |
| 5 | Toll Brothers | 12.42 Bn | 7.81 Bn | 625.22 Mn | 94.45 Mn |
| 6 | Taylor Morrison Home | 6.77 Bn | 4.76 Bn | 290.64 Mn | 97.53 Mn |
| 7 | Champion Homes | 4.74 Bn | 2.22 Bn | - | 56.28 Mn |
| 8 | Cavco Industries | 4.34 Bn | 3.09 Bn | - | 7.89 Mn |
| 9 | Meritage Homes | 4.10 Bn | 1.02 Bn | 513.60 Mn | 66.13 Mn |
| 10 | Dream Finders Homes | 975.08 Mn | -120.06 Mn | 154.40 Mn | 91.34 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 92.70 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();