Dream Finders Homes (DFH) Cost of Revenue (2020 - 2026)
Dream Finders Homes (DFH) posted Cost of Revenue of $909.02 million for Q2 2026, down 5.1% from $957.93 million a year earlier but up 19.9% from the prior quarter.
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Analysis
Dream Finders Homes (DFH) Cost of Revenue (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Dream Finders Homes was $3.48 billion, down 9.4% year-over-year; for FY2025, it was $3.57 billion, down 1.5% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 29.9% (FY2020 to FY2025).
- In prior years, Dream Finders Homes' Cost of Revenue was $3.62 billion in FY2024 (+20.3%), $3.01 billion in FY2023 (+10.6%), $2.72 billion in FY2022 (+69.0%) and $1.61 billion in FY2021 (+67.2%).
- Quarterly Cost of Revenue has run from a low of $303.39 million in Q3 2021 to a high of $1.28 billion in Q4 2024 over five years.
- On a year-over-year basis, Cost of Revenue has declined in each of the last four quarters, with growth averaging 6.7% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q3 2022, with growth of 110.4%; the weakest was Q4 2025, with a decline of 20.7%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $758.35 million (Q1 2026), $1.01 billion (Q4 2025) and $801.02 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 37.89 Bn | 28.78 Bn | 2.15 Bn | 7.08 Bn |
| 2 | Pultegroup | 21.69 Bn | 14.98 Bn | 1.06 Bn | 2.92 Bn |
| 3 | Lennar | 16.59 Bn | 6.36 Bn | 618.54 Mn | 7.43 Bn |
| 4 | Nvr | 15.98 Bn | 9.26 Bn | 485.14 Mn | 1.84 Bn |
| 5 | Toll Brothers | 12.59 Bn | 7.97 Bn | 625.22 Mn | 2.03 Bn |
| 6 | Taylor Morrison Home | 6.77 Bn | 4.76 Bn | 290.64 Mn | 1.10 Bn |
| 7 | Champion Homes | 4.87 Bn | 2.35 Bn | - | - |
| 8 | Cavco Industries | 4.53 Bn | 3.28 Bn | - | - |
| 9 | Meritage Homes | 4.16 Bn | 1.08 Bn | 513.60 Mn | 2.29 Bn |
| 10 | Dream Finders Homes | 982.38 Mn | -112.76 Mn | 154.40 Mn | 909.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 909.02 Mn |
| Mar 31, 2026 | 758.35 Mn |
| Dec 31, 2025 | 1.01 Bn |
| Sep 30, 2025 | 801.02 Mn |
| Jun 30, 2025 | 957.93 Mn |
| Mar 31, 2025 | 796.40 Mn |
| Dec 31, 2024 | 1.28 Bn |
| Sep 30, 2024 | 809.01 Mn |
| Jun 30, 2024 | 852.84 Mn |
| Mar 31, 2024 | 678.64 Mn |
| Dec 31, 2023 | 902.33 Mn |
| Sep 30, 2023 | 709.29 Mn |
| Jun 30, 2023 | 762.86 Mn |
| Mar 31, 2023 | 637.34 Mn |
| Dec 31, 2022 | 909.39 Mn |
| Sep 30, 2022 | 638.46 Mn |
| Jun 30, 2022 | 635.42 Mn |
| Mar 31, 2022 | 538.87 Mn |
| Dec 31, 2021 | 712.32 Mn |
| Sep 30, 2021 | 303.39 Mn |
API Access
Dream Finders Homes Cost of Revenue 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=cost-of-revenue&ticker=DFH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=DFH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();