Popular Posts

Nvidia Earnings: Buy, Sell, or Fair Value? The Verdict

Nvidia’s Big Earnings Report: What You Need to Know (Explained Simply)

Important Note: This article is based on Morningstar’s analysis compiled by Irza Waraich. Morningstar is a company that researches stocks and gives their opinion on what they’re worth. This isn’t financial advice—just information to help you understand what experts are saying.


Key Morningstar Metrics for Nvidia (The Quick Snapshot)

Think of these like a report card for Nvidia’s stock:

  • Fair Value Estimate: $280 per share — This is what Morningstar thinks the stock is really worth long-term
  • Star Rating: ★★★★ (4 stars) — Means the stock looks "moderately undervalued" (on sale compared to what it’s worth)
  • Economic Moat: Wide — Nvidia has a very strong competitive advantage (like a castle with a wide moat around it)
  • Uncertainty Rating: Very High — The future is hard to predict because AI is still new and changing fast

When is the Earnings Report?

Wednesday, August 26 — After the stock market closes for the day.

ELI5: Imagine Nvidia is a kid showing their report card to their parents. On August 26, they’ll show how they did in the last quarter (3 months).


What to Watch for in Nvidia’s Q2 Earnings

Morningstar analysts will be looking at these 6 key things:

  1. Another "Beat-and-Raise" Quarter
    Big tech companies (called "hyperscalers" like Google, Amazon, Microsoft) are spending huge money on AI. Nvidia should make over $300 billion from data centers in 2026 and maybe over $500 billion in 2027.

  2. China Sales Update
    The US government sometimes blocks Nvidia from selling its best chips to China. Investors want to know: are they selling there or not?

  3. Future Chip Roadmap (Rubin Ultra)
    Nvidia’s next big chip is called "Rubin Ultra" (coming late 2027). Reports say it might not hit all its ambitious goals. Morningstar wants to hear the real story.

  4. Nvidia’s $500 Billion AI Investment Partnership
    Nvidia is teaming up with big financial firms to invest $500 billion in AI. Morningstar wants to know: why? Is this smart or risky?

  5. New Business Model: Helping Partners Build AI Factories
    Nvidia is making small deals with companies like Sharon AI and Firmus—basically helping fund their AI projects. Could bigger deals (like with OpenAI) be coming?

  6. The "Moat" Is Still Safe
    Morningstar says Nvidia’s competitive advantages (best AI chips, CUDA software, networking expertise) aren’t going anywhere.

Fair Value Estimate: What’s Nvidia Really Worth?

The Simple Version

Morningstar thinks Nvidia stock is worth $280 per share today. Since it has a 4-star rating, they believe the current price is lower than $280 — meaning it’s on sale.

The Numbers Behind It (Made Simple)

Year Data Center Revenue What This Means
2020 $3 billion Just getting started
2026 $194 billion Explosive growth!
2027 (est.) $361 billion 86% growth in one year

ELI5 Analogy: Imagine a lemonade stand that made $3 in 2020, $194 in 2026, and is on track to make $361 in 2027. That’s Nvidia’s data center business.

The $1 Trillion Promise

At a March 2026 conference, Nvidia said: "We’re confident our Blackwell and Rubin chips will bring in $1 trillion total from 2025–2027."
Morningstar thinks this means $500+ billion in 2027 alone (which is Nvidia’s fiscal 2028).

Growth Will Slow Down Eventually (But Still Be Huge)

  • Fiscal 2027: ~80% total revenue growth (peak speed)
  • Future years: Growth percentages will shrink because the numbers are so big now — but the actual dollars will still be massive

Economic Moat: Why Nvidia’s Castle Is Hard to Attack

Morningstar gives Nvidia a "Wide Moat" rating — the highest possible. Here’s why, in simple terms:

1. Best Hardware (The Bricks)

Nvidia designs the best GPUs (graphics chips) for AI. Think of these as the engines that power AI.

2. CUDA Software (The Secret Sauce)

CUDA is Nvidia’s software platform. It lets developers actually use the chips.
Why this matters: Once developers learn CUDA and build their AI tools on it, switching to a competitor is really hard and expensive. This is called "high switching costs."

3. Networking & Connectivity (The Plumbing)

AI needs thousands of chips working together. Nvidia also makes the "plumbing" (networking gear) that connects them all. Competitors usually only make one piece.

4. Market Leader

Nvidia is the clear #1 in discrete GPUs. Developers build for Nvidia first because that’s what everyone uses.


Financial Strength: Is Nvidia Healthy?

Short answer: Extremely healthy.

The Numbers (as of October 2025)

  • Cash & Investments: $60.6 billion
  • Debt: $8.5 billion
  • Net Cash Position: ~$52 billion positive

Why This Matters (ELI5)

  • Chip companies go through boom-and-bust cycles
  • Big cash pile = safety net during bad times
  • Lets them keep researching new chips even when sales dip
  • Morningstar says: "They have more cash than they know what to do with" — might just buy back their own stock

Fun Fact: Nvidia pays a tiny dividend (cash to shareholders), but it’s basically pocket change compared to their massive cash pile.


Risk and Uncertainty: What Could Go Wrong?

Morningstar rates uncertainty as "Very High." Here’s why:

1. AI Spending Might Slow Down

  • Right now, a handful of huge companies (Google, Amazon, Microsoft, Meta) are buying most of Nvidia’s chips
  • They all want to eventually spend less or build their own chips
  • If they cut back, Nvidia hurts

2. Customers Building Their Own Chips

  • Google makes TPUs
  • Amazon makes Trainium and Inferentia
  • Microsoft and Meta are working on their own too
  • They’ll still buy Nvidia, but maybe less over time

3. Competition Is Coming

  • AMD is rapidly expanding its AI GPU lineup
  • Other chip companies want a piece of the pie

4. Geopolitics (The China Problem)

  • US government restrictions block Nvidia’s best chips from China
  • China is a huge market — losing it hurts
  • Rules keep changing, creating uncertainty

The Bull Case (Why Optimists Love Nvidia)

Reason Simple Explanation
Massive Market Nvidia sees $3–4 trillion per year in AI infrastructure spending by 2030
Dominant Position Best chips + CUDA software = #1 choice for AI training and running models
Expanding Empire Not just chips anymore — now networking, software, services to link chips into super-clusters

The Bear Case (Why Skeptics Worry)

Concern Simple Explanation
Customer Concentration A few giant tech companies = most revenue. They all want alternatives.
ROI Uncertainty Companies spending billions on AI — will they actually make money back? If not, spending crashes.
Geopolitics China restrictions limit Nvidia’s addressable market.

Summary: The Big Picture

Category Morningstar’s Take
Stock Price vs. Value Undervalued (4 stars, fair value $280)
Competitive Advantage Very strong (Wide Moat)
Financial Health Excellent (huge cash, low debt)
Future Certainty Very Low (Very High Uncertainty)
Near-Term Catalyst Q2 earnings Aug 26 — watch for China update, roadmap, partner deals
Long-Term Bet AI keeps growing → Nvidia wins. AI spending slows → Nvidia hurts.

Bottom line: Morningstar likes Nvidia’s business and thinks the stock is cheap if AI keeps booming. But the "Very High Uncertainty" rating means: buckle up — it could be a wild ride.


FAQ: Your Questions Answered

1. What does "fiscal 2027" mean? Isn’t it 2026?

Companies have their own financial calendars. Nvidia’s "fiscal 2027" roughly matches calendar year 2026. Their Q2 ends around July 2026, reported in August 2026.

2. What is CUDA and why does it matter?

CUDA is Nvidia’s software toolkit. It’s like the operating system for their chips. Developers write code in CUDA. Once they’ve built their AI on CUDA, switching to AMD or others means rewriting everything — expensive and slow.

3. Why is uncertainty "Very High" if the business is doing so well?

Because valuation depends entirely on AI growth continuing. If AI spending slows, the stock could drop sharply. High reward = high risk.

4. What are "hyperscalers"?

The biggest cloud companies: Amazon (AWS), Microsoft (Azure), Google Cloud, Meta, Oracle. They build massive data centers and buy most of Nvidia’s AI chips.

5. Should I buy Nvidia stock based on this?

This article is information, not advice. Morningstar’s 4-star rating means they think it’s undervalued. But "Very High Uncertainty" means the price could swing wildly. Do your own research or talk to a financial advisor.


Article compiled from Morningstar analysis by Irza Waraich. Generated with automation assistance and reviewed by Morningstar editors.

Leave a Reply

Your email address will not be published. Required fields are marked *