Dream Finders Homes (DFH) Net Income (2020 - 2026)
Dream Finders Homes (DFH) recorded Net Income of $27.84 million in Q2 2026, down 50.8% from $56.54 million a year earlier but up 105.3% from the prior quarter.
Dream Finders Homes (DFH) Net Income (2020 - 2026) Analysis & Trends
On a TTM basis, Dream Finders Homes' Net Income came in at $147.26 million as of Jun 30, 2026, down 53.1% year-over-year; for FY2025, it came in at $217.4 million, down 36.2% from FY2024.
- Annual Net Income has a five-year compound annual growth rate of 20.8% (FY2020 to FY2025).
- Across earlier years, Net Income came in at $340.58 million in FY2024 (+10.6%), $307.94 million in FY2023 (+12.3%), $274.3 million in FY2022 (+103.8%) and $134.59 million in FY2021 (+59.3%).
- Quarterly Net Income has ranged from $13.56 million in Q1 2026 to $130.49 million in Q4 2024 over the past five years.
- On a year-over-year basis, Net Income has declined for six consecutive quarters, with an average decline of 29.2% over the last eight quarters.
- Peak year-over-year performance for Net Income in the last five years was growth of 203.9% in Q3 2022, against a decline of 75.3% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $13.56 million (Q1 2026), $58.8 million (Q4 2025) and $47.06 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 38.33 Bn | 29.22 Bn | 2.15 Bn | 918.70 Mn |
| 2 | Pultegroup | 21.75 Bn | 15.04 Bn | 1.06 Bn | 524.79 Mn |
| 3 | Lennar | 17.19 Bn | 6.61 Bn | 807.31 Mn | 308.13 Mn |
| 4 | Nvr | 16.44 Bn | 9.72 Bn | 485.14 Mn | 245.24 Mn |
| 5 | Toll Brothers | 12.42 Bn | 7.81 Bn | 625.22 Mn | 264.51 Mn |
| 6 | Taylor Morrison Home | 6.77 Bn | 4.76 Bn | 290.64 Mn | 100.43 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 | 90.63 Mn |
| 10 | Dream Finders Homes | 975.08 Mn | -120.06 Mn | 154.40 Mn | 27.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.84 Mn |
| Mar 31, 2026 | 13.56 Mn |
| Dec 31, 2025 | 58.80 Mn |
| Sep 30, 2025 | 47.06 Mn |
| Jun 30, 2025 | 56.54 Mn |
| Mar 31, 2025 | 55.01 Mn |
| Dec 31, 2024 | 130.49 Mn |
| Sep 30, 2024 | 71.64 Mn |
| Jun 30, 2024 | 82.76 Mn |
| Mar 31, 2024 | 55.68 Mn |
| Dec 31, 2023 | 104.95 Mn |
| Sep 30, 2023 | 79.60 Mn |
| Jun 30, 2023 | 71.64 Mn |
| Mar 31, 2023 | 51.75 Mn |
| Dec 31, 2022 | 89.97 Mn |
| Sep 30, 2022 | 71.62 Mn |
| Jun 30, 2022 | 66.37 Mn |
| Mar 31, 2022 | 46.33 Mn |
| Dec 31, 2021 | 60.34 Mn |
| Sep 30, 2021 | 23.57 Mn |
Dream Finders Homes Net Income 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-income&ticker=DFH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=DFH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();