Google's earnings massively exceeded expectations – so why did the stock fall after hours?

After the US stock market closed this morning, Google's parent company, Alphabet, released its second-quarter 2026 financial results.

Looking at the core data, the earnings report was almost flawless:

• Revenue of $119.8 billion, up 24% year-over-year, exceeding market expectations of $116.9 billion
• Earnings Per Share (EPS) of $9.11, significantly surpassing the market estimate of around $2.9
• Operating income of $40.8 billion, up 30% year-over-year, slightly beating the expected $40.4 billion
• Cloud revenue of $24.8 billion, substantially higher than the anticipated $22.4 billion
• Capital expenditure of $44.9 billion, marginally above the forecasted $44.2 billion

Shortly after the data release, chip stocks like SK Hynix, Micron, and SanDisk—the ones "selling shovels" in this AI gold rush—rose between 1.5% and 3% in after-hours trading. It's fair to say that companies like Hynix truly owe Google a debt of gratitude for this report. At a time when market concerns over AI capital spending are deepening, Google has proven with concrete numbers that the money is still flowing.

However, the bizarre twist is that Google's own stock price, the very company that released the stellar earnings, took a downturn in after-hours trading, down about 2% at the time of writing.

Why did a "perfect" earnings report lead to a decline in its own stock price?

1. The "Cost" Behind $44.9 Billion in Capital Expenditure

The issue lies in this key metric: Free Cash Flow (FCF).

Google recorded a negative free cash flow of -$5.86 billion. This marks the first time since its 2004 IPO that Google has reported a negative quarterly free cash flow.

What was the market expectation? Negative $230 million. Google's actual figure was a full 25 times worse than anticipated.

What is free cash flow? Simply put, it's the cash a company can truly pocket after deducting all operating expenses and capital expenditures. A negative number means Google spent more money in a quarter than it earned from its operations—and significantly more at that.

The $44.9 billion in capital expenditure essentially tells the market: Google is all-in on AI. Cloud revenue exceeded expectations, operating income grew, revenue across the board was strong—but all this money ultimately flowed to one place: data centers, GPU clusters, power facilities, and more.

The reason Hynix and others rose in after-hours trading is precisely because they sit upstream in this "burn pipeline." For every extra dollar Google spends on AI infrastructure, a significant portion eventually flows to suppliers of memory chips, GPUs, and networking equipment. For these "shovel sellers," exceeding capital expenditure expectations directly translates to exceeding order expectations.

But Google's shareholders are clearly beginning to show fatigue with this "unlimited burn" model.

2. The Arms Race is No Longer Unconditionally Embraced by the Market

Google's free cash flow meltdown is not an isolated incident. It's just a snapshot of tech giants collectively going "all-in" on AI.

Recent news is rife with similar frenzied investments:

• OpenAI is reportedly planning to invest $30 billion in building a new data center.
• SpaceX announced plans to build a large-scale data center in Texas, USA.
• Google's $44.9 billion quarterly capex has pushed its full-year capital expenditure guidance close to $180 billion.

A few months ago, this kind of competitive investment race would have been interpreted by the market as "determination" and "foresight," often causing stock prices to rise on the back of higher-than-expected capex. But now, the wind has shifted.

The market is transitioning from "embracing investment" to "demanding returns." Investors are starting to ask a sharper question: After burning all this money, when will we see commensurate returns?

While Google's cloud revenue of $24.8 billion is impressive, can it cover increasingly heavy depreciation, leasing, and electricity costs? What is the user experience and monetization efficiency of the AI search features (AI Overviews)? The answers to these questions remain unclear.

When free cash flow turns from positive to negative—and significantly overshoots expectations to the downside—it sends an unsettling signal: Google is using shareholders' money for a high-stakes gamble with no clear timeline or guaranteed return on investment.

3. The AI Narrative Isn't Broken, But the Era of "Unconditional Faith" is Ending

Based on the analysis above, we can draw a relatively sober conclusion about the current market landscape:

The AI narrative itself is not shattered. Google's revenue growth, strong cloud performance, and continuous expansion of capital expenditure all indicate that the wave of demand for AI infrastructure continues. The support that chip stocks (Hynix, Micron, SanDisk) derived from this earnings report is real and data-backed.

However, the phase of "unconditional faith" may be ending. The market is no longer willing to pay an unlimited premium for a vague "future story." The collapse of free cash flow, the arms-race style of burning cash, and the still-unrealized monetization paths are causing investors to reassess the risk-reward ratio of these giants.

For chip stocks, this implies a subtle shift: their demand side (cloud providers' capex) remains strong in the short term, but if cloud providers' shareholders start pressuring for spending cuts, the growth rate of this demand side could see marginal deceleration in the coming quarters.

4. Final Thoughts: While Chasing AI, Leave Yourself an Exit Strategy

The current situation can be summarized as: the long-term AI narrative still exists, but short-term valuation pressures are rising.

If you are bullish on the long-term prospects of chip stocks and the AI sector, but also worry that the giants' "unbridled spending" will eventually invite market backlash—then instead of wavering between fear and greed, use tools to manage risk.

BIT Brokerage's options feature officially launched this week, providing a perfectly matched tool for this environment of "bullish direction, bumpy journey":

• Holding long positions in chip stocks + buying put options: While Google's earnings are positive for chips, subsequent capex growth may slow down—use options to insure your holdings, locking in downside risk.
• Buying call or put options directionally: Use significantly less capital than the underlying stock to bet on directional price swings post-earnings, with maximum loss limited to the premium paid.
• Buying both directions simultaneously: Unsure if Google will continue "going all-in" or be forced to "hit the brakes"? Bet on both sides; you profit as long as volatility is high enough.

The AI arms race continues, but smart participants know: even when charging, wear a bulletproof vest.

Disclaimer

This content is for informational purposes only, compiled based on publicly available information. It does not guarantee accuracy, completeness, or timeliness, constitutes no investment advice, and does not constitute an offer to buy or sell any financial product. Market and individual stock performance is uncertain, and past performance does not guarantee future returns. Trading in derivatives such as options and margin involves high risk and may result in total loss of principal or premiums. Please make prudent decisions based on your own investment objectives and risk tolerance. Do not trade solely for incentives. Consult a professional advisor when necessary.