Raymond James raises Nvidia stock price target on strong outlook

Nvidia shares rose ~5% in aftermarket trading after it reported fiscal Q2 revenue of $96.2B (+106% YoY) and adjusted EPS of $2.22 vs $2.09 consensus, beating expectations. The company guided fiscal Q3 revenue to $108B (~3% above estimates) and projected fiscal 2028 growth of 70%, reinforced by strong AI demand and a sold-out Compute segment. Raymond James lifted its NVDA price target to $515 from $352 (Strong Buy), and Nvidia returned a record $26B to shareholders in the quarter ($20B buybacks plus a $0.25/share dividend).

Analysis

This is less a one-name beat and more confirmation that AI capex is still being concentrated in a very small set of infrastructure bottlenecks. The second-order winners are the vendors that sit one layer down the stack — networking, optical, power, and rack integration names such as AVGO, ANET, MRVL, and SMCI — because a sustained NVDA spend cycle forces the rest of the buildout to stay hot. The flip side is that hyperscalers and enterprise buyers are underwriting a larger share of their budget to one ecosystem, which can crowd out software and core cloud reinvestment even if topline AI demand remains strong.

Near term, the stock can keep grinding higher as estimates get ratcheted up, but the more important catalyst path is the next 1-3 months of hyperscaler capex commentary and order visibility. The first real reversal signal would be any moderation in forward spend, a gross-margin inflection from mix or pricing, or evidence that custom ASICs from GOOG/AMZN/MSFT are taking a bigger slice of new deployments; over 6-18 months, that custom-silicon substitution is the main structural threat to both share and multiple. Export controls are the other tail risk: if incremental China exposure gets constrained again, the market will likely re-rate the growth duration lower even if headline demand stays intact.

The contrarian read is that the market may be overinterpreting capital returns as pure confidence; they can also signal management sees fewer attractive reinvestment options at the margin, which is what late-cycle platform leaders often do. I would not chase the gap mechanically — the better expression is relative value in the AI supply chain where the earnings revision cycle is still underappreciated. TGT is effectively a no-op here; the more useful read-through is to consumer and software names whose valuations assume AI is additive rather than budget-fungible.

Key Decisions for Investors

• Buy NVDA on any 1-2% post-gap consolidation over the next 3-5 trading days; target 8-12% upside over 1-3 months, with falsification on any hyperscaler capex guide-down or gross-margin compression.
• Pair trade: long NVDA / short AMD for 1-3 months to express continued share concentration in AI accelerators; aim for 10-15% relative performance, cut if AMD wins meaningful design-share announcements or software ecosystem adoption accelerates.
• Add AVGO or ANET on 2-3% pullbacks as second-order beneficiaries of AI cluster density; use them as a lower-beta way to stay long the spend cycle if NVDA becomes crowded.
• Reduce/hedge QQQ or XLK on strength if the next round of megacap capex comments imply AI spend is crowding out non-AI investment; this is a 1-3 month relative-value hedge rather than an outright market call.
• Set a watch item on MSFT/AMZN/GOOGL capex and opex commentary into the next earnings cycle; if forward spending flattens, take profits on NVDA longs and rotate into infrastructure names with cleaner earnings leverage.