Bringing the fundamentals into focus…
Back to Dream Finders Homes, Inc.
How Dream Finders Homes, Inc. stacks up
DFH · against 1,585 other Consumer Cyclical companies
Growth
14/ 100
Near the bottom of its peers.
Ranked #1,357 of 1,586 · scores higher than 14% of peers
Bars: peers in each 10-point band of the growth score159 peers with a growth score of 10–19, including DFH · Click a bar to see the companies
Why growth scores 14?
Weighted metrics compared with all Consumer Cyclical companies.Mainly because of its revenue growth and earnings per share growth, which are weaker than most Consumer Cyclical peers.
- slower revenue growth over the last year: weaker than 90% of peers. Revenue growth: -12.2% vs peer median 3.7%
- slower growth in earnings per share: weaker than 89% of peers. Earnings per share growth: -48.2% vs peer median 4.2%
- 3-year revenue growth is close to the peer norm. 3-year revenue growth: 4.7% vs peer median 4.3%
Metric by metric
Position: dot = DFH, ranked from the worst peer (left) to the best (right); tick = middle, shaded = middle half of peers.| Metric | DFH | Peer median | Better than | Position among peers | Weight |
|---|---|---|---|---|---|
| Revenue growthHigher is better · 1,593 reported | -12.2% | 3.7% | 10% | 33% | |
| Earnings per share growthHigher is better · 1,125 reported | -48.2% | 4.1% | 11% | 33% | |
| 3-year revenue growthHigher is better · 1,578 reported | 4.7% | 4.3% | 52% | 33% |
Ranking by growth score
Top 5 and the companies ranked around DFH| Rank | Company | Market cap | Growth | Overall |
|---|---|---|---|---|
| 1 | 158.6B CNY (≈$22.2B) | 100 | 60 | |
| 1 | 1.3B MYR (≈$277M) | 100 | 60 | |
| 1 | 241M MYR (≈$53M) | 100 | 86 | |
| 1 | 184.4B HKD (≈$23.6B) | 100 | 91 | |
| 1 | 177.5B INR (≈$2.1B) | 100 | ||
| 1,357 | 1.1B HKD (≈$144M) | 14 | 21 | |
| 1,357 |
Scores are sector-relative percentiles from the latest snapshot, always calculated against the whole sector: narrowing the comparison group changes who you compare with, not the scores. Missing metrics are left out and the remaining weights rescaled. How we score