{"id":70,"date":"2026-06-22T12:52:14","date_gmt":"2026-06-22T17:52:14","guid":{"rendered":"https:\/\/brmoon.io\/?p=70"},"modified":"2026-06-22T12:52:15","modified_gmt":"2026-06-22T17:52:15","slug":"tech-stocks-today-vs-the-dot-com-bubble-are-we-really-back-in-2000","status":"publish","type":"post","link":"https:\/\/brmoon.io\/?p=70","title":{"rendered":"Tech Stocks Today vs. the Dot-Com Bubble: Are We Really Back in 2000?"},"content":{"rendered":"\n

If you lived through the dot-com crash, today’s tech rally probably gives you flashbacks. The Magnificent Seven dominate headlines, AI is the new “internet,” and everyone’s asking the same nervous question: is this 1999 all over again?<\/p>\n\n\n\n

Here’s the short answer: today’s prominent S&P 500 tech leaders are expensive, but they’re generally much<\/em> cheaper than the tech darlings right before the 2000 crash. Let’s break down why.<\/p>\n\n\n\n

The Headline Numbers<\/h2>\n\n\n\n

Think of valuation as the price tag on a dollar of earnings. The higher the number, the more optimism (or fantasy) is baked in. Here’s how today stacks up against the dot-com peak:<\/p>\n\n\n\n

Valuation group<\/th>Dot-com era<\/th>Today-ish level<\/th>Takeaway<\/th><\/tr><\/thead>
Top 7 tech leaders<\/td>~65.6x forward earnings (1999)<\/td>~28x forward earnings (late 2025)<\/td>Less than half the dot-com level<\/td><\/tr>
S&P 500 Info Technology<\/td>45x+ earnings (early 2000)<\/td>~27x (late 2025)<\/td>Elevated, but not 2000-level<\/td><\/tr>
“Four Horsemen” vs. Magnificent 7<\/td>82.7x trailing earnings (March 2000)<\/td>38.3x trailing earnings (recent)<\/td>Big-cap tech is cheaper today<\/td><\/tr>
S&P 500 overall<\/td>30.7x trailing earnings (March 2000)<\/td>24.7x trailing earnings (recent)<\/td>The whole market was pricier then<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

What Actually Changed<\/h2>\n\n\n\n

The 2000 leaders were names like Cisco, Intel, Oracle, Lucent, Dell, and Sun Microsystems. Today’s leaders are Apple, Microsoft, Alphabet, Amazon, NVIDIA, Meta, and Broadcom.<\/p>\n\n\n\n

The big difference is that today’s leaders mostly have massive earnings, free cash flow, and entrenched businesses, while the dot-com period included many companies with weak or nonexistent profits.<\/p>\n\n\n\n

A few concrete examples make this obvious:<\/p>\n\n\n\n

    \n
  • Pets.com<\/strong>\u00a0raised millions in its 2000 IPO and collapsed within nine months, famously spending more to ship dog food than customers paid for it. No path to profit, just a sock puppet mascot.<\/li>\n\n\n\n
  • Webvan<\/strong>, the online grocery startup, burned through more than $800 million building warehouses before going bankrupt in 2001.<\/li>\n\n\n\n
  • Cisco<\/strong>\u00a0in 2000 was a\u00a0real<\/em>\u00a0business with real profits, but it still traded north of 100x earnings, pricing in growth that physically couldn’t materialize. It took roughly 17 years to revisit its 2000 high.<\/li>\n\n\n\n
  • Compare that to\u00a0NVIDIA today<\/strong>, which actually generates tens of billions in net income, or\u00a0Apple and Microsoft<\/strong>, which throw off enormous free cash flow every quarter and return much of it to shareholders. These are cash machines, not story stocks.<\/li>\n<\/ul>\n\n\n\n

    In plain terms: 2000 was “priced for perfection plus<\/em> fantasy.” Today is more “priced for strong growth that actually has to keep showing up.”<\/p>\n\n\n\n

    So Where’s the Real Risk?<\/h2>\n\n\n\n

    Don’t mistake “cheaper than 2000” for “safe.” The danger today looks different. The main worries are concentration, AI capex payback, and whether earnings growth can justify high multiples.<\/p>\n\n\n\n

    Here’s what each of those actually means for your portfolio:<\/p>\n\n\n\n

      \n
    • Concentration risk:<\/strong>\u00a0A handful of stocks now drive a huge share of the S&P 500. If just NVIDIA, Apple, or Microsoft stumbles, your “diversified” index fund could feel it hard. You may own the whole market and still be making one giant bet.<\/li>\n\n\n\n
    • AI capex payback:<\/strong>\u00a0Companies are pouring tens of billions into AI data centers, chips, and power. The open question is whether that spending generates enough revenue to justify it. If the AI payoff arrives slower than promised, those big bills land before the profits do.<\/li>\n\n\n\n
    • Earnings keeping pace:<\/strong>\u00a0A 28x multiple only makes sense if earnings keep climbing fast. The moment growth slows, a high P\/E becomes a long way to fall, even for a great company. Cisco was profitable in 2000 and still dropped roughly 80%.<\/li>\n<\/ul>\n\n\n\n

      The Bottom Line<\/h2>\n\n\n\n

      Today’s tech giants aren’t the speculative, profitless dreams of 1999. They’re real businesses with real cash flow, trading at rich-but-not-insane valuations. The lesson from 2000 isn’t “avoid tech,” it’s “watch what you’re paying, and don’t assume a great company is automatically a great price.”<\/p>\n","protected":false},"excerpt":{"rendered":"

      If you lived through the dot-com crash, today’s tech rally probably gives you flashbacks. The Magnificent Seven dominate headlines, AI is the new “internet,” and everyone’s asking the same nervous question: is this 1999 all over again? Here’s the short answer: today’s prominent S&P 500 tech leaders are expensive, but they’re generally much cheaper than the tech…<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[1],"tags":[],"class_list":["post-70","post","type-post","status-publish","format-standard","hentry","category-security"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/brmoon.io\/index.php?rest_route=\/wp\/v2\/posts\/70","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/brmoon.io\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/brmoon.io\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/brmoon.io\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/brmoon.io\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=70"}],"version-history":[{"count":1,"href":"https:\/\/brmoon.io\/index.php?rest_route=\/wp\/v2\/posts\/70\/revisions"}],"predecessor-version":[{"id":72,"href":"https:\/\/brmoon.io\/index.php?rest_route=\/wp\/v2\/posts\/70\/revisions\/72"}],"wp:attachment":[{"href":"https:\/\/brmoon.io\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=70"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/brmoon.io\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=70"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/brmoon.io\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=70"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}