Why Alphabet (GOOGL) Fell 13% After Q3: My Take on the Dip

Hector (Blockchain Programmer)10 min readOctober 29, 2026(Updated October 30, 2026)stocks · alphabet · googl · ai capex · earnings · position sizing

Not financial advice. Education only.

This is my personal opinion, shared for educational purposes. It isn't a recommendation to buy, sell, or hold GOOGL or anything else, and it isn't tailored to you. Your goals, timeline, and risk tolerance are different from mine, and the stock could keep falling.

Written October 29, 2026 and updated October 30 with the final October 29 closing figures. Prices and the chart's last candle are the official close (about $283.82), so they will have moved since. Other figures come from Alphabet's Q3 filing and the sources linked below.

Quick answer

  • Alphabet fell about 13% on October 29 after its Q3 report, a drop Benzinga flagged as its worst day since March 2020.
  • Why: an EPS miss ($2.12 vs. about $3.02), $51.4B of capex that turned free cash flow negative, slower Search growth, and no buybacks.
  • What held up: Google Cloud revenue grew 103%, operating income rose 30%, and the cloud backlog is $561B.
  • My opinion: still a good long-term buy. I'd aim for about 5% of a portfolio for a new position, built in stages, and a smaller top-up if I already own it.

Alphabet, the parent of Google, fell about 13% on October 29 after reporting Q3 earnings. That's a big move for a $3.5 trillion company. My opinion is that the drop is mostly about two things, heavy AI investment and an earnings miss, and that neither breaks the long-term story. Here's what actually happened, what the numbers say, and how I'd size a position.

How Much Did GOOGL Fall, and Where Is It Now?

GOOGL closed at $324.89 on October 28 and finished October 29 at $283.82, down 12.6%, on about 139 million shares, roughly five times its recent daily volume. That puts it about 26% below its August high of $384.48. Benzinga flagged it as heading for the stock's worst day since March 2020 (Benzinga).

GOOGL daily candles, July 29 to October 29, 2026. The last candle is the October 29 close. Source: Yahoo Finance.

Notice that the stock had already been sliding for weeks before this report, from the mid-$380s to about $325. The October 29 drop was the accelerant, not the start.

Why Did Alphabet Stock Fall?

My hunch going in was "AI spending plus an earnings miss." The filing backs that up, with some nuance. Here are the four pieces:

1. Earnings per share missed, partly because of a non-operating loss

Diluted EPS was $2.12, against expectations of about $3.02. But the picture under that is better than the headline. Operating income actually rose 30% to $40.6 billion. The gap came from "other income (expense)", which was a net loss of about $8.2 billion, including an $8.7 billion loss on equity securities (Alphabet's Q3 filing). The press attributes that loss to Alphabet's stake in SpaceX; the filing itself doesn't name it. It's a mark-to-market item, not a sign that Google's businesses got worse. That said, even adjusting for it, one source puts EPS near $2.67, which is still below consensus, so it isn't the whole story.

2. AI spending turned free cash flow negative

Capital expenditures were $51.4 billion in the quarter, more than double last year's level. Free cash flow for the quarter was negative $9.1 billion. Alphabet now expects 2026 capex of $195–205 billion, up from $175–185 billion guided in February, and says spending will rise significantly again in 2027 (Vested Finance). This is the part I think the market is really reacting to.

3. Search growth missed

Google Search revenue grew 12% to $63.35 billion, below what analysts expected. Management also flagged bigger foreign-exchange headwinds for Search and YouTube ads in Q4. For a business investors treat as the cash engine funding all this AI spending, a slowdown matters.

4. No buybacks this quarter

Alphabet repurchased $0 of its stock in Q3, versus $11.5 billion a year earlier. It still declared a $0.22 quarterly dividend. Pausing buybacks while spending on AI sends a message about where the cash is going.

What Went Right in the Same Report

The same report had some very strong numbers, which is why I don't read it as a broken story:

Alphabet Q3 2026 growth versus Q3 2025. Source: Alphabet's Q3 earnings release (SEC 8-K).
  • Google Cloud doubled. Revenue rose 103% to $30.7 billion, with a 36.2% operating margin versus about 23.7% a year ago. That's AI demand showing up as real revenue and profit.
  • A huge backlog. Cloud backlog reached about $561 billion, with just over 55% expected to turn into revenue within 24 months (Vested Finance).
  • Total revenue grew 25%, the company's 13th straight quarter of double-digit growth.
  • A strong balance sheet. About $265 billion of cash and marketable securities against about $142 billion of debt, a net cash position of roughly $123 billion.

Running the Valuation Scorecard

SignalReading (Oct 29 close)
Price~$283.82 (about 30% below the 52-week high of $408.61)
Market cap~$3.5T
Trailing P/E~14.8
Forward P/E~20.5
PEG ratio~1.58
Free cash flow (trailing 12 months)~$19.7B
Cash vs. debt~$265B vs. ~$142B
Average analyst target~$408 (58 analysts, Strong Buy), about +44%

Source: StockAnalysis. Analyst targets are a snapshot and tend to be cut after an event like this.

I'd call this reasonable, not dirt cheap. A forward P/E near 20 for a company growing revenue 25% with a cloud business doubling is fair to me. The part that isn't cheap is free cash flow: about $19.7 billion over the last twelve months against a $3.5 trillion value is a thin yield, and it's getting thinner while capex rises. This is the same method I use in my valuation scorecard guide, and the same "great business, big cash question" tension I wrote about in my Netflix post after its Q3 earnings.

Why I Still Think GOOGL Is a Good Buy

My view, in plain terms: AI is a good long-term bet (I walked through the data on how much the big companies are spending in AI stocks, diversification and building conviction), and Alphabet is one of the few companies that has both the AI spending and evidence it pays off. Cloud revenue doubling with expanding margins is what a good return on that capex looks like. The dip comes from the cost side arriving first and the payoff being spread over years. That is a timing problem, and I think it's the kind a long-term holder can live with.

The Risks I Take Seriously

  • It can keep falling. A 13% one-day drop is not a bottom signal. The stock was already sliding before earnings.
  • Capex keeps climbing. Management says 2027 spending rises significantly again. If cloud growth slows before the spending does, free cash flow stays negative.
  • Search is the cash engine. Growth of 12% that missed forecasts could point to AI chatbots taking share, or just a soft quarter. I can't tell which yet.
  • Capital returns paused. No buybacks and a thinner free cash flow yield take away one of the usual supports for a stock.
  • Concentration. If I already own a lot of AI through index funds, adding GOOGL stacks the same bet. QQQ's top ten holdings are about 47% of the fund (see my QQQ and correction post).

How I'd Size a GOOGL Position

This is personal disclosure, not instructions. I never let any single stock or asset exceed 10% of my portfolio, and I cap positions by risk. For a stock I like this much, with a net cash position, a growing cloud business, and a pullback, here's how I'd think about it:

SituationHow I'd approach it
New positionAim for about 5% of the portfolio, built in stages, not all at once
Already hold GOOGLTop up a little rather than racing to the cap, and check total AI exposure first
Hard ceiling for any stock10%

The "in stages" part matters here. The stock just broke down, 2027 capex is a real unknown, and I'd rather not assume this price is the best one I'll see. At a 5% weight, a further 40% drop in GOOGL would cost about 2% of the whole portfolio, which I can live with. I explain the framework in my AXON position sizing post.

Disclosure: not financial advice

This article is my personal opinion, for educational purposes only. It is not financial, investment, legal, or tax advice and not a recommendation to buy, sell, or hold GOOGL or any security. Prices are as of the October 29 close and will have changed. Data comes from third-party sources and may be incomplete or delayed. I may hold or trade the securities mentioned. Investments can lose value, and past performance doesn't guarantee future results. Do your own research and consider speaking with a licensed financial advisor.

FAQ

Is this financial advice?

No. It's my personal opinion, for education only, and it says nothing about what's right for your portfolio.

Why did Alphabet (GOOGL) stock fall after Q3 2026 earnings?

Four things stacked up: diluted EPS of $2.12 missed expectations of about $3.02, partly because of an $8.2 billion net non-operating loss; capital spending of $51.4 billion pushed free cash flow to negative $9.1 billion with 2027 spending guided higher; Google Search revenue grew 12% and missed forecasts; and Alphabet did no share buybacks in the quarter. Shares fell about 12.6% on October 29.

Did Alphabet really miss earnings?

On reported EPS, yes: $2.12 versus about $3.02 expected. But operating income rose 30% to $40.6 billion, and the miss was inflated by an $8.7 billion loss on equity securities, a non-operating item the press has tied to Alphabet's SpaceX stake. Even excluding it, one source puts adjusted EPS around $2.67, still short.

How much is Alphabet spending on AI?

Q3 capital expenditures were $51.4 billion, and Alphabet expects full-year 2026 capex of $195–205 billion, up from the $175–185 billion guided in February. It has said spending will rise significantly again in 2027.

How much of my portfolio should GOOGL be?

There's no universal answer. Personally I never let any single stock or asset exceed 10%, and I'd aim for about 5% in GOOGL as a new position, building it in stages, with a smaller top-up if I already hold it.

H
Written by Hector — Blockchain Programmer & Founder

Hector is a blockchain programmer and the creator of GreedyFearful. He builds automated Bitcoin monitoring tools and systematic accumulation frameworks to help investors buy market dips with data instead of emotion.

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