Analyst Price Targets — GLW
| Date | Analyst | Firm | Target | Price @ Post | Source | Headline |
|---|---|---|---|---|---|---|
| July 7, 2026 11:45 am | Martin Yang | Oppenheimer | $230.00 | $194.77 | TheFly | Corning price target raised to $230 from $210 at Oppenheimer |
| July 6, 2026 10:33 am | — | UBS | $243.00 | $196.70 | TheFly | Corning price target raised to $243 from $223 at BofA |
| July 1, 2026 11:08 am | John Roberts | Mizuho Securities | $270.00 | $255.54 | TheFly | Corning price target raised to $270 from $220 at Mizuho |
| June 22, 2026 11:37 am | Matthew Niknam | Truist Financial | $205.00 | $195.00 | TheFly | Corning price target raised to $205 from $149 at Truist |
| June 5, 2026 11:56 am | Joshua Spector | UBS | $228.00 | $197.93 | TheFly | Corning price target raised to $228 from $223 at UBS |
| May 12, 2026 11:15 am | — | Mizuho Securities | $220.00 | $207.30 | TheFly | Corning price target raised to $220 from $190 at Mizuho |
| May 8, 2026 1:13 pm | Meta Marshall | Morgan Stanley | $180.00 | $192.70 | TheFly | Corning price target raised to $180 from $140 at Morgan Stanley |
| May 8, 2026 10:12 am | Tim Long | Barclays | $180.00 | $182.42 | TheFly | Corning price target raised to $180 from $149 at Barclays |
| May 7, 2026 11:40 am | — | UBS | $223.00 | $181.57 | TheFly | Corning price target raised to $223 from $179 at UBS |
| April 29, 2026 12:51 pm | — | Truist Financial | $149.00 | $149.31 | TheFly | Corning price target raised to $149 from $125 at Truist |
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Latest News for GLW

Corning Inc (NYSE:GLW) stock is down 7.8% at $172.92 this afternoon, part of its larger drawdown from its June 30 record peak of $271.38.

Corning, Viavi and Ooma have been highlighted in this Industry Outlook article.

Increased fiber densification, cloud focus and accelerated pace of 5G deployment should help the Zacks Communication - Components industry thrive despite short-term headwinds. GLW, VIAV and OOMA are well-positioned to make the most of the demand for seamless connectivity solutions.

However fast a GPU is, however much computing power a cluster can deliver, there are numerous bottlenecks that hinder AI performance. A single GPU may be fast, but the system only runs as fast as its connections, and there are exponentially more connections as you move up the chain, each with more networking, power, and cooling requirements.

Physical AI has crossed from hype to product. Six supply chain layers - edge silicon to connectivity - and the stocks at every level.
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