Bringing the fundamentals into focus…
Back to Workhorse Group, Inc.
How Workhorse Group, Inc. stacks up
WKHS · against 53 other Consumer Cyclical companies of similar size
Growth
99/ 100
Near the top of its peers.
Ranked #2 of 54 · scores higher than 98% of peers
Bars: peers in each 10-point band of the growth score9 peers with a growth score of 90–100, including WKHS · 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 99% of peers. 3-year revenue growth: 61.6% vs peer median 4.3%
- faster revenue growth over the last year: stronger than 100% of peers. Revenue growth: 201.1% vs peer median 3.7%
Metric by metric
Position: dot = WKHS, ranked from the worst peer (left) to the best (right); tick = middle, shaded = middle half of peers.| Metric | WKHS | Peer median | Better than | Position among peers | Weight |
|---|---|---|---|---|---|
| Revenue growthHigher is better · 55 reported | 201.1% | 0.0% | 100% | 33% | |
| Earnings per share growthHigher is better · 14 reported | Not reported | -8.4% | — | — | 33% |
| 3-year revenue growthHigher is better · 54 reported | 61.6% | -3.1% | 100% | 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 WKHS| Rank | Company | Market cap | Growth | Overall |
|---|---|---|---|---|
| 1 | 241M MYR (≈$53M) | 100 | 86 | |
| 2 | 34M USD | 99 | 27 | |
| 3 | 129M MYR (≈$28M) | 97 | 55 | |
| 3 | 37M USD | 97 | 44 | |
| 5 | 337M HKD (≈$43M) | 96 | 32 | |
| 6 | 120M MYR (≈$26M) | 94 | 30 |
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