Dream Finders Homes (DFH) Cash & Equivalents (2020 - 2026)
Dream Finders Homes (DFH) posted Cash & Equivalents of $203.49 million for Q2 2026, down 3.2% from $210.32 million a year earlier and down 53.3% from the prior quarter.
Dream Finders Homes (DFH) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Dream Finders Homes' Cash & Equivalents came in at $234.77 million, down 14.4% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 40.0% (FY2020 to FY2025).
- In prior years, Dream Finders Homes' Cash & Equivalents was $274.38 million in FY2024 (-44.5%), $494.15 million in FY2023 (+35.6%), $364.53 million in FY2022 (+60.4%) and $227.23 million in FY2021 (+420.5%).
- The Q2 2026 figure stands as the lowest quarterly Cash & Equivalents since Q3 2022.
- On a year-over-year basis, Cash & Equivalents increased in three of the last eight quarters, with an average decline of 3.8%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q4 2021, with growth of 420.5%; the weakest was Q4 2024, with a decline of 44.5%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $435.38 million (Q1 2026), $234.77 million (Q4 2025) and $251.04 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 37.89 Bn | 28.78 Bn | 2.15 Bn | 2.13 Bn |
| 2 | Pultegroup | 21.69 Bn | 14.98 Bn | 1.06 Bn | 1.38 Bn |
| 3 | Lennar | 16.59 Bn | 6.36 Bn | 618.54 Mn | 1.43 Bn |
| 4 | Nvr | 15.98 Bn | 9.26 Bn | 485.14 Mn | 1.14 Bn |
| 5 | Toll Brothers | 12.59 Bn | 7.97 Bn | 625.22 Mn | 1.06 Bn |
| 6 | Taylor Morrison Home | 6.77 Bn | 4.76 Bn | 290.64 Mn | 653.43 Mn |
| 7 | Champion Homes | 4.87 Bn | 2.35 Bn | - | 638.26 Mn |
| 8 | Cavco Industries | 4.53 Bn | 3.28 Bn | - | 236.72 Mn |
| 9 | Meritage Homes | 4.16 Bn | 1.08 Bn | 513.60 Mn | 807.27 Mn |
| 10 | Dream Finders Homes | 982.38 Mn | -112.76 Mn | 154.40 Mn | 203.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 203.49 Mn |
| Mar 31, 2026 | 435.38 Mn |
| Dec 31, 2025 | 234.77 Mn |
| Sep 30, 2025 | 251.04 Mn |
| Jun 30, 2025 | 210.32 Mn |
| Mar 31, 2025 | 297.47 Mn |
| Dec 31, 2024 | 274.38 Mn |
| Sep 30, 2024 | 204.91 Mn |
| Jun 30, 2024 | 274.80 Mn |
| Mar 31, 2024 | 239.43 Mn |
| Dec 31, 2023 | 494.15 Mn |
| Sep 30, 2023 | 330.13 Mn |
| Jun 30, 2023 | 292.51 Mn |
| Mar 31, 2023 | 266.57 Mn |
| Dec 31, 2022 | 364.53 Mn |
| Sep 30, 2022 | 123.69 Mn |
| Jun 30, 2022 | 84.10 Mn |
| Mar 31, 2022 | 100.14 Mn |
| Dec 31, 2021 | 227.23 Mn |
| Sep 30, 2021 | 90.21 Mn |
Dream Finders Homes Cash & Equivalents 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=cash-and-equivalents&ticker=DFH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DFH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();