Dream Finders Homes (DFH) Change in Inventory (2020 - 2026)
Dream Finders Homes' Change in Inventory came in at $185.95 million for Q2 2026, up 69.3% from $109.82 million a year earlier and up 63.2% from the prior quarter.
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Analysis
Dream Finders Homes (DFH) Change in Inventory (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Dream Finders Homes reported Change in Inventory of $340.23 million; for FY2025, it came in at $210.2 million, up 40.6% from FY2024.
- Going back by year, Change in Inventory was $149.51 million in FY2024 (+130.3%), $64.92 million in FY2023 (-79.2%), $311.52 million in FY2022 (+288.5%) and $80.2 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Change in Inventory in data going back to Q1 2020.
- Year-over-year, Change in Inventory increased in three of the last six quarters, with growth averaging 40.5%.
- The fastest year-over-year change in Change in Inventory over five years came in Q1 2022 (growth of 350.7%), and the weakest in Q1 2023 (a decline of 66.4%).
- Business Quant data shows DFH's Change in Inventory at $113.96 million (Q1 2026), -$113.52 million (Q4 2025) and $153.84 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 39.14 Bn | 30.03 Bn | 2.15 Bn | 532.90 Mn |
| 2 | Pultegroup | 22.22 Bn | 15.51 Bn | 1.06 Bn | 430.91 Mn |
| 3 | Lennar | 17.48 Bn | 6.90 Bn | 807.31 Mn | 436.85 Mn |
| 4 | Nvr | 16.60 Bn | 9.88 Bn | 485.14 Mn | 296.78 Mn |
| 5 | Toll Brothers | 12.52 Bn | 7.91 Bn | 625.22 Mn | 328.54 Mn |
| 6 | Taylor Morrison Home | 6.77 Bn | 4.76 Bn | 290.64 Mn | 127.34 Mn |
| 7 | Champion Homes | 4.79 Bn | 2.27 Bn | - | - |
| 8 | Cavco Industries | 4.30 Bn | 3.05 Bn | - | - |
| 9 | Meritage Homes | 4.17 Bn | 1.09 Bn | 513.60 Mn | -98.28 Mn |
| 10 | Dream Finders Homes | 1.01 Bn | -89.94 Mn | 154.40 Mn | 185.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 185.95 Mn |
| Mar 31, 2026 | 113.96 Mn |
| Dec 31, 2025 | -113.52 Mn |
| Sep 30, 2025 | 153.84 Mn |
| Jun 30, 2025 | 109.82 Mn |
| Mar 31, 2025 | 60.06 Mn |
| Dec 31, 2024 | -344.73 Mn |
| Sep 30, 2024 | 161.24 Mn |
| Jun 30, 2024 | 160.76 Mn |
| Mar 31, 2024 | 172.23 Mn |
| Dec 31, 2023 | -30.70 Mn |
| Sep 30, 2023 | 56.55 Mn |
| Jun 30, 2023 | -16.47 Mn |
| Mar 31, 2023 | 55.54 Mn |
| Dec 31, 2022 | -134.65 Mn |
| Sep 30, 2022 | 156.81 Mn |
| Jun 30, 2022 | 123.96 Mn |
| Mar 31, 2022 | 165.39 Mn |
| Dec 31, 2021 | -73.18 Mn |
| Sep 30, 2021 | 36.06 Mn |
API Access
Dream Finders Homes Change in Inventory 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=change-in-inventory&ticker=DFH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=DFH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();