10 Wall Street analysts react to Nvidia’s blockbuster earnings

Nvidia reported Q1 revenue of $81.62B, above the $78.86B consensus, with data center revenue of $75.2B versus $72.8B expected and EPS of $1.87 versus $1.76. The company guided Q2 revenue to $91B, plus or minus 2%, well above the $86.84B estimate, while authorizing an $80B buyback and raising the quarterly dividend to $0.25 per share from $0.01. Management also highlighted a $200B addressable market for its new Vera CPUs and expects $20B in Vera revenue by year-end, supporting the AI growth narrative despite concerns about long-term competition.

Analysis

The key takeaway is that NVDA has shifted from a pure GPU scarcity story to a multi-engine platform monetization story, which materially extends the duration of its growth runway. The underappreciated second-order effect is that every incremental customer cohort building custom silicon still increases demand for NVDA’s adjacent stack — networking, software, CPU attach, and system-level integration — so even “loss” of accelerator share can be partially recycled into higher wallet share elsewhere. That makes the moat harder to attack than a simple ASIC-vs-GPU framing suggests.

The more important market signal is not the headline beat but the increase in capital return alongside still-constrained supply. Buybacks at this scale imply management believes near-term multiple compression is more likely from sentiment than from fundamentals, which can stabilize downside on 1-3 month horizons. The risk is longer-dated: if hyperscaler capex flattens in 2026 while custom chips improve enough to reduce unit growth, the market will start discounting 2027+ growth sooner than the company’s product cadence can re-accelerate it.

Consensus is likely underestimating the competitive implication for AMD and, more subtly, for any “next-gen accelerator” vendor that lacks a full-stack software ecosystem. The CPU narrative is especially interesting because it expands NVDA’s TAM into a space where customers value integration and deployment simplicity more than raw performance, which is exactly where open competition is weakest. That said, the valuation reaction suggests investors are already pricing a lot of good news into NVDA; upside likely comes from continued estimate revisions, while downside comes from any hint that the $1T trajectory must be re-based lower.

Key Decisions for Investors

• Maintain a tactical long NVDA position for the next 4-8 weeks, using pullbacks as entry points; risk/reward favors upside if buyback support and estimate revisions keep compressing implied forward multiple.
• Pair long NVDA / short AMD over a 1-3 month horizon. NVDA has the cleaner demand visibility and platform leverage, while AMD is more exposed to any market re-rating that custom silicon eventually caps accelerator TAM.
• Sell out-of-the-money NVDA puts into volatility for the next earnings cycle, targeting premium capture while buyback authorization creates a near-term floor; keep size modest because the stock is now more sensitive to growth-duration questions than to quarterly beats.
• For a lower-beta expression, go long MS or GS against a small NVDA hedge if you expect continued AI capex strength to flow into underwriting, financing, and capital-markets activity; the trade works best if AI investment broadens into infrastructure funding rather than just chip purchases.