Bringing the fundamentals into focus…
Back to XPeng Inc.
How XPeng Inc. stacks up
XPEV · against 1,585 other Consumer Cyclical companies
Growth
99/ 100
Near the top of its peers.
Ranked #9 of 1,586 · scores higher than 99% of peers
Bars: peers in each 10-point band of the growth score167 peers with a growth score of 90–100, including XPEV · Click a bar to see the companies
Why growth scores 99?
Weighted metrics compared with all Consumer Cyclical companies.Mainly thanks to its revenue growth and 3-year revenue growth, which are stronger than most Consumer Cyclical peers.
- Earnings per share growth is not reported, so it is left out of the score.
- faster revenue growth over three years: stronger than 97% of peers. 3-year revenue growth: 41.9% vs peer median 4.3%
- faster revenue growth over the last year: stronger than 99% of peers. Revenue growth: 87.7% vs peer median 3.7%
Metric by metric
Position: dot = XPEV, ranked from the worst peer (left) to the best (right); tick = middle, shaded = middle half of peers.| Metric | XPEV | Peer median | Better than | Position among peers | Weight |
|---|---|---|---|---|---|
| Revenue growthHigher is better · 1,593 reported | 87.7% | 3.7% | 99% | 33% | |
| Earnings per share growthHigher is better · 1,125 reported | Not reported | 4.1% | — | — | 33% |
| 3-year revenue growthHigher is better · 1,578 reported | 41.9% | 4.3% | 97% | 33% |
A metric that is not reported is left out of the score; the other weights are rescaled.
Ranking by growth score
Top 5 and the companies ranked around XPEV| 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 | ||
| 9 | 15.2B USD | 99 | 57 | |
| 9 |
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