Veteran Analyst Sends Shocking Message on Nvidia After Earnings: 'Don't Overthink It'

 

# Veteran Analyst Sends Shocking Message on Nvidia After Earnings: 'Don't Overthink It'

**Published: March 1, 2026**

You know that feeling when you absolutely crush it at work, deliver the best quarter of your life, and your boss still looks disappointed?

That's Nvidia right now.

The chip giant reported another record-shattering quarter on February 26—$68.1 billion in revenue, up 73% year over year, with data center revenue jumping 75% to $62.3 billion . They guided to $78 billion for the current quarter, blowing past Wall Street's $72.6 billion expectations . They returned $41.1 billion to shareholders through buybacks and dividends .

And the stock dropped 5.5%—the worst one-day decline since April 2025 .

So what's going on? Is the AI trade finally running out of steam? Is Nvidia's incredible run over?

According to veteran analyst Dan Ives from Wedbush Securities, the answer is a resounding no. His message to investors? "Don't overthink it." 

Let me walk you through what Ives and other top analysts are saying, why the market reacted the way it did, and whether this sell-off is a warning sign or a buying opportunity.

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## The Short Version: What You Need to Know

**The numbers:** Nvidia crushed earnings—$68.1 billion revenue, up 73% year over year, with Q1 guidance of $78 billion that smashed expectations of $72.6 billion .

**The stock reaction:** NVDA fell 5.5% the day after earnings, wiping out about $260 billion in market value .

**Dan Ives's message:** The Wedbush analyst called Nvidia's results "Michael Jordan-like numbers" and said the "law of large numbers" critique doesn't apply . He sees multiple AI verticals—business, physical AI, robots, autonomous systems—sustaining demand for years.

**Why the disconnect:** Investors are shifting focus from "how fast is Nvidia growing?" to "how long can hyperscalers keep spending?" Concerns about a "capex peak" are weighing on the stock .

**The valuation story:** Despite the sell-off, Nvidia now trades at less than 22 times forward earnings—below its five-year average of 37 and basically even with the S&P 500 .

**What analysts are saying:** The Street remains overwhelmingly bullish, with price targets ranging from $250 to $300 and a consensus Strong Buy rating .

## The Analyst Who's Not Panicking: Dan Ives's "Shocking Message"

Let's start with the "shocking message" from our title.

Dan Ives, the Wedbush Securities analyst known for his bullish tech coverage, isn't buying the post-earnings panic. In fact, he's framing Nvidia's performance in terms that should make any sports fan sit up and pay attention.

**"Michael Jordan-like numbers."** That's how Ives describes Nvidia's latest quarter . For those who remember Jordan's dominance, the comparison is apt—Nvidia is operating at a level that seems almost unfair, yet they keep delivering.

Ives's broader argument is worth understanding. He says the usual "law of large numbers" critique—the idea that Nvidia is too big to keep growing at these rates—simply doesn't apply here .

**Why not?** Because Nvidia's next act isn't just "more AI." There are multiple new verticals opening up:

- **Enterprise AI** – Businesses deploying AI across their operations

- **Physical AI** – AI that interacts with the physical world

- **Robotics** – Autonomous machines learning and adapting

- **Autonomous systems** – Self-driving vehicles and industrial automation

Ives believes these markets will sustain demand for years to come .

He also made a prediction that might surprise you: while the industry will eventually have five, seven, or even ten important chipmakers, Nvidia will still be the best choice for the next 18 to 36 months . That's a long runway in tech years.

And here's another insight: Ives thinks software is the "most disconnected" trade right now and identified Microsoft as his top buy pick . That suggests the AI winners list may eventually include more than just semiconductor stocks.

## The Raw Numbers: Another Blowout Quarter

Before we get into why the stock dropped, let's be crystal clear about what Nvidia actually reported. These numbers are genuinely staggering.

**Table 1: Nvidia Q4 Fiscal 2026 Results**

| **Metric** | **Actual** | **Year-Over-Year Growth** | **Context** |

| :--- | :--- | :--- | :--- |

| Revenue | $68.1 billion | +73% | Record high  |

| Data Center Revenue | $62.3 billion | +75% | 91% of total sales  |

| GAAP EPS | $1.76 | +97% | Nearly doubled  |

| GAAP Gross Margin | 75.0% | +1.5 pts | Industry-leading  |

| Full-Year Revenue | $215.9 billion | +65% | Staggering scale  |

| Shareholder Returns | $41.1 billion | N/A | Buybacks + dividends  |

**Guidance for Q1 2027:**

- Revenue: $78 billion (plus or minus 2%)

- Wall Street expected: $72.6 billion

- Beat: About $5.4 billion above expectations 

**The China asterisk:** Nvidia said it is "not assuming any data center compute revenue from China in its outlook" . That's a real headwind, but the fact that they're still guiding to $78 billion without China tells you everything about demand elsewhere.

UBS analyst Timothy Arcuri called it "the largest, cleanest beat and raise in the history of the semis industry—surpassing the second best, which was Nvidia three months ago" . Morgan Stanley's Joseph Moore added that "backlog [is] now building into 2027" .

## Why the Stock Dropped: Three Reasons

So if the numbers are so good, why did the stock fall 5.5%? Let's break down what's really happening.

### 1. The "Capex Peak" Worry

This is the biggest factor. Investors are shifting their focus from Nvidia's growth to the sustainability of its customers' spending.

The top four hyperscalers—Meta, Microsoft, Google, and Amazon—are projected to spend **$650-$700 billion on capex this year** . A massive chunk of that flows to Nvidia.

But investors are starting to ask: how long can this last? What happens when those companies decide they've built enough AI infrastructure and need to digest what they've already spent? Even a temporary pause in spending growth would hit Nvidia's revenues hard .

Daniel Pilling, portfolio manager at Sands Capital Management, put it simply: the selloff is "all about the market basically saying is this the peak? That also then bleeds into the multiple" .

### 2. Nvidia Is Now a Proxy for the Entire AI Industry

Here's a crucial framing: don't think of Nvidia as just another tech stock anymore. Think of it as the benchmark for the entire AI business .

When people talk about Nvidia now, they're really talking about the broader, hyped-up AI environment. The stock rises and falls based on sentiment about the whole sector, not just the company's own performance.

This means Nvidia can fall even when the news is favorable—if it's not favorable *enough* to satisfy the market's insatiable expectations .

### 3. The Valuation Paradox

Here's where it gets really interesting. Despite the sell-off, Nvidia's valuation looks historically cheap.

**Table 2: Nvidia Valuation Metrics**

| **Metric** | **Current** | **Historical Context** |

| :--- | :--- | :--- |

| Forward P/E | ~22x | Below 5-year average of 37x  |

| PEG Ratio | ~0.79 | Attractive for growth stock  |

| vs. S&P 500 | ~22x vs. ~22x | Trading at market multiple  |

Nvidia's revenue growth over the past 12 months—65%—is the third fastest in the S&P 500 . By comparison, Palantir's revenue expansion ranks fourth, and its shares trade at roughly 98 times forward earnings .

So Nvidia is growing almost as fast as the hottest software stocks but trading at a fraction of the multiple.

**Why the disconnect?** Jay Goldberg, senior analyst at Seaport Group (who has the only sell rating on the stock), offers a sobering perspective: "Where is the next incremental buyer? All the big holders, the long-only funds, they've bought as much as they can, and they're just maxed out. So even if it looks cheap, there's not really anyone who can take advantage" .

## The Bull Case: Why Analysts See 50%+ Upside

Despite the post-earnings volatility, Wall Street remains overwhelmingly bullish on Nvidia. The stock commands a Strong Buy consensus rating based on 34 buys and just one sell .

Here's what top analysts are saying after the print:

**Table 3: Analyst Price Targets and Commentary**

| **Firm** | **Analyst** | **Rating** | **Target** | **Key Quote** |

| Bank of America | Vivek Arya | Buy | $300 | "Agentic AI inflection point" driving demand  |

| Citi | Atif Malik | Buy | $300 | "Coiled spring" waiting to snap higher  |

| Bernstein | Stacy Rasgon | Outperform | $300 | "Demand showing zero signs of slowing"  |

| Jefferies | Blayne Curtis | Buy | $275 | "Was already cheap, will look remarkably cheaper"  |

| JPMorgan | Harlan Sur | Overweight | $265 | Concerns "likely overblown"  |

| TD Cowen | Joshua Buchalter | Buy | $235 | Top Pick; sees growth through 2026  |

| Mizuho | Vijay Rakesh | Buy | $275 | Rubin on track for H2 2026  |

**The average price target** of $267.48 implies about 37% upside from current levels around $195 . Bank of America's $300 target suggests more than 50% upside.

### Why They're Bullish

**The Rubin platform is coming.** Nvidia's next-generation Vera Rubin architecture is slated for H2 2026 and promises to make inference tokens up to 10 times cheaper than Blackwell . Major cloud providers—AWS, Google Cloud, Microsoft Azure, Oracle—are already lined up to deploy Rubin-based instances .

**Inference demand is exploding.** The shift from "generative AI" to "agentic AI"—autonomous systems that can perform complex, multi-stage tasks—requires exponentially more inference compute. Analysts at BofA call this an "inflection point" that could dwarf the initial generative AI boom .

**Supply commitments are through the roof.** Nvidia's supply chain obligations now exceed $95 billion, more than triple last year's level . That's not a company that sees demand slowing.

**The CUDA moat is real.** Over 5 million developers are entrenched in Nvidia's software ecosystem. Leaving would mean rewriting training stacks, re-optimizing models, rebuilding distributed infrastructure—a non-starter for most customers .

## The Bear Case: Risks Worth Watching

It wouldn't be fair to present only the bull case. There are real risks that could derail Nvidia's momentum.

### The Cyclical Ghost

The semiconductor industry has historically been cyclical. Before the AI surge, Nvidia itself faced a classic cyclical downturn when crypto mining demand collapsed. The stock looked "reasonable" at 20x earnings—and then dropped 50% in three months .

Critics argue that even the strongest moats eventually confront oversupply and shifting budgets.

### ASIC Competition

To avoid the "Nvidia tax," hyperscalers are developing their own custom chips:

- **Google:** TPUs

- **Amazon:** Trainium and Inferentia

- **Meta:** MTIA

- **Microsoft:** Maia

As these chips mature, they're likely to encroach on Nvidia's market share for specific inference workloads . Companies like Broadcom and Marvell stand to benefit from this transition.

### Margin Pressure

Nvidia's 70%+ gross margins and 50%+ net margins are unusually high for hardware. This level of profitability attracts competition. Whether through AMD's MI400 series or proprietary hyperscaler chips, pricing pressure is inevitable .

### ROI Questions

Shareholders of Nvidia's largest customers will eventually demand evidence of returns on the $650 billion-plus they're investing. If AI applications don't generate proportional revenue, hyperscalers may shift from aggressive expansion to optimizing existing resources .

## The Next Catalysts: What to Watch

If you're trading Nvidia from here, analysts say three things matter more than the earnings beat :

**1. Hyperscaler tone.** Any talk of "optimizing" AI infrastructure investment could spook the market.

**2. Rubin timing and supply.** How quickly the next platform ramps will determine 2027 estimates.

**3. Inference roadmap clarity.** How Nvidia maintains share as other options become available.

The next major event is **Nvidia's GTC conference in mid-March**. Analysts expect the company to showcase its Groq SRAM low-latency inference technology, CPUs, and optical networking—potentially providing the catalyst the stock needs to break out of its recent range .

## What This Means for Different Investors

### If You're a Long-Term Investor

The case for owning Nvidia remains intact. Demand isn't slowing—it's evolving. The shift to agentic AI opens up new markets that could dwarf the initial generative AI boom. And at 22x forward earnings, the stock isn't priced for perfection.

Dakota Wealth Management's Robert Pavlik puts it simply: "These results show that this stock at this multiple represents a really good value, and a good opportunity. When you look at the fundamentals, the value, the basic metrics, all of those scream that this is a good-looking name that should be part of your portfolio" .

### If You're a Trader

Expect continued volatility. Nvidia is now a proxy for the entire AI industry, which means sentiment swings will drive price action. The GTC conference in March could provide a near-term catalyst.

### If You're on the Sidelines

This might be your entry point. Nvidia hasn't traded at this multiple relative to the S&P 500 in years. If you believe the AI buildout is still in early innings, the post-earnings dip could be a gift.

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## Frequently Asked Questions

**Q: How did Nvidia do in its latest quarter?**

A: Nvidia reported revenue of $68.1 billion, up 73% year over year, with data center revenue jumping 75% to $62.3 billion. EPS nearly doubled to $1.76 .

**Q: Why did the stock drop after such good earnings?**

A: Investors are shifting focus from Nvidia's growth to concerns about a potential "capex peak"—whether hyperscalers can sustain their current spending levels .

**Q: What did Dan Ives say?**

A: Ives called Nvidia's results "Michael Jordan-like numbers," said the "law of large numbers" doesn't apply, and predicted multiple AI verticals will sustain demand for years .

**Q: Is Nvidia stock cheap right now?**

A: By historical standards, yes. Nvidia trades at less than 22x forward earnings, below its five-year average of 37x and roughly in line with the S&P 500 .

**Q: What's the analyst consensus on Nvidia?**

A: Strong Buy, based on 34 buys and 1 sell. The average price target of $267.48 implies about 37% upside .

**Q: What's the Rubin platform?**

A: Nvidia's next-generation Vera Rubin architecture, launching H2 2026, promises to make inference tokens up to 10 times cheaper than Blackwell .

**Q: What is "agentic AI"?**

A: Autonomous AI systems that can perform complex, multi-stage tasks without human intervention. This shift requires exponentially more inference compute .

**Q: What are the biggest risks to Nvidia?**

A: Potential capex slowdown from hyperscalers, custom ASIC competition (Google TPUs, Amazon Trainium), margin pressure, and China export restrictions .

**Q: What should I watch next?**

A: The GTC conference in mid-March, hyperscaler commentary on AI spending, and updates on Rubin's production ramp .

**Q: Is this a buying opportunity?**

A: That depends on your time horizon and risk tolerance. Long-term bulls see the current valuation as attractive; skeptics worry about peak cycle multiples.

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## The Bottom Line

Here's what I keep coming back to.

Nvidia just reported one of the most anticipated earnings in market history. They delivered—by any objective measure, they absolutely crushed it. Revenue up 73%. Data center up 75%. Guidance $5 billion above expectations.

And the stock fell 5.5%.

That tells you something profound about where we are in this cycle. Nvidia is no longer just a company. It's a symbol. A proxy for the entire AI industry . And when the symbol gets too big, too fast, the market starts asking harder questions.

**Dan Ives's message**—"Don't overthink it"—is worth remembering. The fundamentals haven't cracked. The demand isn't slowing. The next platform is coming. The moat is intact.

But the market isn't rewarding "great" anymore. It wants assurance that the entire AI ecosystem is progressing well . And that's a much higher bar.

For long-term investors, days like this are either scary or exciting. It depends on whether you're watching the price or the business.

Nvidia's business has never been stronger. The price will eventually catch up.

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*Got thoughts on Nvidia's earnings? Buying the dip or staying away? Drop a comment and let me know.*