Jabil Inc vs SK Hynix — how do they compare? Jabil Inc trades at $306.28 (market cap $31.35B), while SK Hynix trades at $169.03 (market cap $891.31B). The key difference: SK Hynix is far larger — about 28.4× Jabil Inc's market cap, and Jabil Inc pays the higher dividend (0.11%). Which is the better fit depends on your goals — on Pluang, investors hold Jabil Inc for 23 Days and SK Hynix for 10 Days on average.
| JBL | SKHY | |
|---|---|---|
Market Cap | $31.35B | $891.31B |
Volume | 1,337,978 | 22,268,296 |
Sector | Technology | Technology |
52-Week High | $385.50 | $198.63 |
52-Week Low | $192.49 | $126.79 |
Typical Hold Time | 23 Days | 10 Days |
Enterprise Value | $33.63B | $841.45B |
Dividend Yield | 0.11% | 0.06% |
Signals from Pluang's Aura AI — not financial advice
JBL trades at $299.16, down 0.1% on the day, amid a bearish technical signal despite strong Q4 2026 earnings that beat estimates with EPS of $4.40. The stock shows robust fundamentals, including 74.11% ROE and a consensus analyst price target of $434.75, implying significant upside. Recent news highlights AI infrastructure demand driving growth, with fiscal 2027 revenue growth projected at 24%.
The outlook is positive due to accelerating AI demand and strong earnings momentum, but risks include high valuation multiples and market volatility. Analyst consensus is strongly bullish with no sell ratings, supporting a long-term growth narrative despite near-term technical weakness.
No Aura AI signal available yet.
Trailing returns across standard periods
What Pluang investors did over the last 30 days
Latest headlines on both assets
Jabil is a global manufacturing solutions provider for industries including healthcare, automotive, and cloud. It offers comprehensive design, engineering, and supply chain management for complex electronic products.
Read more on JBL →SK hynix is a South Korean semiconductor company that manufactures memory products, including DRAM and NAND flash. Its high-bandwidth memory (HBM) products are designed for high-performance computing and AI applications.
Read more on SKHY →