Bringing the fundamentals into focus…
Back to Mesa Laboratories, Inc.
How Mesa Laboratories, Inc. stacks up
MLAB · against 1,668 other Technology companies
Growth
76/ 100
Near the top of its peers.
Ranked #393 of 1,669 · scores higher than 76% of peers
Bars: peers in each 10-point band of the growth score167 peers with a growth score of 70–79, including MLAB · Click a bar to see the companies
Why growth scores 76?
Weighted metrics compared with all Technology companies.Mainly thanks to its earnings per share growth, which is stronger than most Technology peers.
- slower revenue growth over the last year: weaker than 65% of peers. Revenue growth: 3.0% vs peer median 8.5%
- 3-year revenue growth is close to the peer norm. 3-year revenue growth: 4.4% vs peer median 4.8%
- Earnings per share turned from a loss to a profit. Earnings per share growth: — vs peer median 11.1%
Metric by metric
Position: dot = MLAB, ranked from the worst peer (left) to the best (right); tick = middle, shaded = middle half of peers.| Metric | MLAB | Peer median | Better than | Position among peers | Weight |
|---|---|---|---|---|---|
| Revenue growthHigher is better · 1,689 reported | 3.0% | 8.5% | 35% | 33% | |
| Earnings per share growthHigher is better · 1,071 reported | Not reported | 11.1% | — | — | 33% |
| 3-year revenue growthHigher is better · 1,659 reported | 4.4% | 4.8% | 48% | 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 MLAB| Rank | Company | Market cap | Growth | Overall |
|---|---|---|---|---|
| 1 | 8.7B CNY (≈$1.2B) | 100 | 78 | |
| 1 | 241.8B CNY (≈$33.9B) | 100 | 85 | |
| 1 | 37.0B CNY (≈$5.2B) | 100 | 65 | |
| 1 | 40.5B USD | 100 | 75 | |
| 1 | 28.4B USD | 100 | 79 | |
| 393 | 10.6B USD | 76 | 60 | |
| 393 |
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