Dream Finders Homes (DFH) EBITDA (2020 - 2026)
Dream Finders Homes (DFH) recorded EBITDA of $31.37 million in Q2 2026, down 49.1% from $61.68 million a year earlier but up 32.0% from the prior quarter.
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Analysis
Dream Finders Homes (DFH) EBITDA (2020 - 2026) Analysis & Trends
On a TTM basis, Dream Finders Homes' EBITDA came in at $198.05 million as of Jun 30, 2026, down 51.5% year-over-year; for FY2025, it was $284.63 million, down 35.8% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 27.5% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $443.06 million in FY2024 (-0.4%), $444.64 million in FY2023 (+21.7%), $365.38 million in FY2022 (+121.1%) and $165.24 million in FY2021 (+95.5%).
- Quarterly EBITDA has ranged from $23.77 million in Q1 2026 to $169.04 million in Q4 2024 over the past five years.
- On a year-over-year basis, EBITDA has declined for five consecutive quarters, with an average decline of 29.3% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 206.7% in Q3 2022, against a decline of 70.3% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $23.77 million (Q1 2026), $79.94 million (Q4 2025) and $62.97 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 39.58 Bn | 29.89 Bn | 2.15 Bn | 1.18 Bn |
| 2 | Pultegroup | 21.70 Bn | 14.99 Bn | 1.06 Bn | 700.63 Mn |
| 3 | Lennar | 18.70 Bn | 9.07 Bn | 618.54 Mn | -6.93 Bn |
| 4 | Nvr | 16.10 Bn | 9.38 Bn | 485.14 Mn | 340.85 Mn |
| 5 | Toll Brothers | 12.72 Bn | 8.09 Bn | 625.22 Mn | 380.08 Mn |
| 6 | Champion Homes | 4.26 Bn | 1.74 Bn | - | - |
| 7 | Cavco Industries | 4.04 Bn | 2.79 Bn | - | - |
| 8 | Meritage Homes | 3.96 Bn | 886.66 Mn | 513.60 Mn | 467.30 Mn |
| 9 | M | 3.17 Bn | 242.64 Mn | 235.50 Mn | -717.86 Mn |
| 10 | Dream Finders Homes | 874.65 Mn | -250.03 Mn | 154.40 Mn | 31.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.37 Mn |
| Mar 31, 2026 | 23.77 Mn |
| Dec 31, 2025 | 79.94 Mn |
| Sep 30, 2025 | 62.97 Mn |
| Jun 30, 2025 | 61.68 Mn |
| Mar 31, 2025 | 80.04 Mn |
| Dec 31, 2024 | 169.04 Mn |
| Sep 30, 2024 | 97.87 Mn |
| Jun 30, 2024 | 108.66 Mn |
| Mar 31, 2024 | 71.25 Mn |
| Dec 31, 2023 | 146.10 Mn |
| Sep 30, 2023 | 110.70 Mn |
| Jun 30, 2023 | 112.65 Mn |
| Mar 31, 2023 | 75.08 Mn |
| Dec 31, 2022 | 124.95 Mn |
| Sep 30, 2022 | 83.25 Mn |
| Jun 30, 2022 | 94.88 Mn |
| Mar 31, 2022 | 66.36 Mn |
| Dec 31, 2021 | 82.47 Mn |
| Sep 30, 2021 | 27.29 Mn |
API Access
Dream Finders Homes EBITDA 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=ebitda&ticker=DFH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DFH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();