AIToday
AI Business & IndustryFortune AIPublished: May 11, 2026, 01:00 JST1 min read

Alphabet's market capitalization closes at $4.8 trillion, approaching Nvidia's $5.2 trillion as stock gained 34% in April

Alphabet's market capitalization closes at $4.8 trillion, approaching Nvidia's $5.2 trillion as stock gained 34% in April

3 Key Points

  1. Alphabet Inc. closed Friday with a market capitalization of $4.8 trillion, while Nvidia Corp. reached $5.2 trillion following a three-day rally. Since October 31, when Nvidia's market cap was $4.9 trillion and Alphabet's was less than $3.4 trillion, Alphabet's stock price has soared 43% while Nvidia's is up 6.3%.

  2. Alphabet's competitive position spans search, cloud services, YouTube, the Waymo autonomous vehicle division, the Gemini AI model, and tensor processing unit (TPU) chips that process AI computations. The company's TPU-related infrastructure is expected to generate about $3 billion of revenue in 2026 and $25 billion in 2027, according to a Citizens analyst.

  3. Analysts' earnings estimates for Alphabet have risen: the consensus projection for 2026 net income is up about 19% over the past month, and 2027 expectations have risen more than 7%. The average analyst price target over the next 12 months is about $422, a 5.4% increase from Friday's close.

Ask the AI about this article →

Get the latest AI Business & Industry news every morning

For example, today's edition would include:

  • Nvidia and Micron top NT$4.4T Taiwan investmentDIGITIMES Asia · 1h ago
  • Gradiant wins water contract for West Texas AI campusYahoo Finance AI · 1h ago
  • SK Hynix HBM share ~55%, $4B Indiana plantYahoo Finance AI · 1h ago

AI-summarized, only the topics you pick — one digest a day via Email, Slack, or Discord.

Free · takes 30 seconds · unsubscribe anytimeWhat is AIToday? →

Ask AI

Ask AI anything about this article. Q&As are published on this page for other readers too.

Related Articles

Next articleAnthropic takes over compute at xAI's Colossus 1 data center as xAI pivots to infrastructure rental instead of AI model training