Bringing the fundamentals into focus…
Back to FIGS, Inc.
How FIGS, Inc. stacks up
FIGS · against 1,585 other Consumer Cyclical companies
Growth
97/ 100
Near the top of its peers.
Ranked #41 of 1,586 · scores higher than 97% of peers
Bars: peers in each 10-point band of the growth score167 peers with a growth score of 90–100, including FIGS · Click a bar to see the companies
Why growth scores 97?
Weighted metrics compared with all Consumer Cyclical companies.Mainly thanks to its earnings per share growth, revenue growth and 3-year revenue growth, which are stronger than most Consumer Cyclical peers.
- faster revenue growth over three years: stronger than 72% of peers. 3-year revenue growth: 10.1% vs peer median 4.3%
- faster revenue growth over the last year: stronger than 92% of peers. Revenue growth: 24.7% vs peer median 3.7%
- faster growth in earnings per share: stronger than 99% of peers. Earnings per share growth: 666.8% vs peer median 4.2%
Metric by metric
Position: dot = FIGS, ranked from the worst peer (left) to the best (right); tick = middle, shaded = middle half of peers.| Metric | FIGS | Peer median | Better than | Position among peers | Weight |
|---|---|---|---|---|---|
| Revenue growthHigher is better · 1,593 reported | 24.7% | 3.7% | 92% | 33% | |
| Earnings per share growthHigher is better · 1,125 reported | 666.8% | 4.1% | 99% | 33% | |
| 3-year revenue growthHigher is better · 1,578 reported | 10.1% | 4.3% | 72% | 33% |
Ranking by growth score
Top 5 and the companies ranked around FIGS| 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 | ||
| 41 | 1.48T JPY (≈$10.1B) | 97 | 96 | |
| 41 |
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