GOOGL Stock: Why I Am Bullish on Alphabet Before Q2 Earnings

I am bullish on Alphabet, but I am not bullish because Google is some forgotten bargain. At roughly $346.77 per Class A share after the July 17 close and about $4.2 trillion in market value, this is already one of the largest and most closely watched companies on Earth. The case has to be stronger than a familiar logo and a chart moving up.

My case is that the market still underestimates the combination of Alphabet's durable Search economics, rapidly improving Google Cloud profitability, unmatched AI distribution, custom compute stack, and valuable options such as Waymo. The business has more than one way to win, and its strongest cash engine has not collapsed under the pressure from generative AI.

The timing matters. Alphabet reports second-quarter results after the close on Wednesday, July 22. That makes this a long-term thesis published directly in front of a short-term volatility event. I can be bullish on the company and still refuse to chase the stock into earnings.

Alphabet is using one of the best cash-generating distribution systems ever built to finance an AI and cloud expansion that is already producing real revenue, real operating profit, and enormous user reach. If management can convert the spending into durable free cash flow without allowing AI answers to damage Search monetization, the company can keep compounding from a much larger base than most investors think.

The most important bull-case fact is also the simplest: Google Search is still growing. In Q1 2026, Google Search and other advertising revenue reached $60.4 billion, up 19% from the prior year. That is not the financial profile of a franchise already being hollowed out.

Google also says AI features are increasing engagement. At I/O 2026, the company reported that AI Overviews reached more than 2.5 billion monthly users and AI Mode passed 1 billion monthly users. Search queries reached record highs. Those are company-reported engagement figures, so I treat them as evidence to monitor rather than a victory lap, but they directly challenge the easiest bear argument that AI would immediately make Google Search irrelevant.

The deeper advantage is habit plus commercial intent. People do not only use Google to ask broad informational questions. They look for products, local businesses, travel, services, maps, videos, images, and answers connected to action. Alphabet can place AI inside that existing behavior instead of trying to manufacture distribution from scratch.

The risk is monetization. An AI answer can satisfy a query before a user clicks an ad or website. The bull case requires Google to preserve advertiser returns and commercial query volume as the interface changes. Search growth tells me the engine is healthy today; it does not guarantee every AI-era revenue model has been solved.

Google Cloud is no longer a promising side business that investors have to value on faith. Q1 Cloud revenue reached $20.0 billion, up 63% year over year. Cloud operating income rose to $6.6 billion from $2.2 billion a year earlier. Revenue growth was exceptional, but the operating leverage is the part that changes the Alphabet story.

Cloud remaining performance obligations were approximately $462.3 billion at the end of Q1, and Alphabet expected just over half of total remaining performance obligations to be recognized during the following 24 months. That is powerful demand visibility, especially while enterprises and model builders are fighting for compute capacity.

There is an accounting footnote worth keeping. Alphabet changed the Q1 presentation to include contracts with an original term of one year or less, representing $7.3 billion of remaining performance obligations. The backlog is still enormous, but investors should not compare every headline number across periods without reading the definition change.

This is one of the clearest reasons I am bullish. Search can remain the dominant cash engine while Cloud becomes a larger source of growth and operating income. A company with two scaled profit engines deserves a different framework from a company protecting one aging monopoly.

Many AI companies have excellent models and weak distribution. Alphabet has models, hardware, data centers, browsers, phones, productivity software, video, maps, advertising relationships, and billions of users. At I/O, Google said the Gemini app had more than 900 million monthly users, up from roughly 400 million a year earlier.

The company also said it operates 13 products with more than 1 billion users and five with more than 3 billion users. That distribution can turn a model improvement into a product update across Search, Android, Chrome, Workspace, YouTube, Maps, and Cloud. It also gives Google more opportunities to bundle AI features into paid subscriptions and enterprise contracts.

Alphabet ended Q1 with 350 million paid consumer subscriptions across its services. Gemini Enterprise paid monthly active users grew 40% sequentially, while direct Gemini API usage exceeded 16 billion tokens per minute and grew 60% from the prior quarter. None of those numbers alone proves durable AI margins, but together they show that adoption is not confined to a demo stage.

AI model rankings change fast. Owning efficient compute, global data centers, networking, software, and customer distribution is harder to copy. Alphabet says it has deployed more than one million tensor processing units globally, and its newest TPU generation improved performance per watt. That matters because power and compute economics increasingly decide who can serve AI at scale.

The Wiz acquisition adds cybersecurity capabilities to the Cloud strategy, while the Intersect acquisition expands Alphabet's ability to secure and develop power-intensive infrastructure. Those deals are expensive, and integration always carries risk, but the strategic direction is coherent: own more of the stack required to build, secure, and operate AI workloads.

This is where I think investors can misread capital spending. Huge capex is not automatically waste, and it is not automatically bullish. It is a claim on future demand. Alphabet has to prove that its infrastructure generates attractive incremental revenue and cash flow. The advantage is that it has real customers and real utilization signals against which we can test that claim.

I do not need Waymo to justify the entire Alphabet valuation. I do think it is one of the most credible autonomous-driving assets in the public market. Alphabet said Waymo was delivering more than 500,000 fully autonomous paid rides per week in Q1.

Autonomy can be capital intensive, geographically constrained, and politically sensitive. Expansion does not guarantee attractive unit economics. Still, a service operating at meaningful commercial scale is worth more than a laboratory promise. If Waymo can increase rides, cities, fleet utilization, and contribution margins, shareholders own upside that is not captured by treating Alphabet only as an advertising company.

Alphabet generated $45.8 billion in operating cash flow during Q1. Capital expenditures were $35.7 billion, leaving $10.1 billion of quarterly free cash flow. Trailing twelve-month free cash flow was $64.4 billion. Cash, cash equivalents, and marketable securities stood at $126.8 billion.

Those are extraordinary resources, but the direction of the gap matters. Management previously guided to $175 billion to $185 billion of 2026 capital expenditures, and the company announced a June financing program of roughly $80 billion across common equity, mandatory convertible preferred shares, and a private placement. Alphabet can finance the buildout. Existing shareholders still have to ask whether the returns will exceed the dilution and cost of capital.

That is why I will watch free cash flow more closely than adjusted AI excitement. If Cloud revenue, Search monetization, subscription income, and enterprise AI demand scale faster than infrastructure costs, the spending becomes a moat. If capex rises for several quarters while cash returns weaken and revenue conversion disappoints, the same spending becomes a warning.

At about $346.77 and roughly $4.2 trillion in market value, Alphabet is not hiding. Common trailing price-to-earnings figures around the mid-to-high 20s also need context because Q1 reported net income included a $36.9 billion pretax gain on equity securities. The after-tax effect added roughly $2.35 to diluted earnings per share.

In other words, the headline Q1 diluted EPS of $5.11 was not a clean measure of recurring operating power. Backing out that after-tax gain produces a rough core-equivalent figure near $2.76 for the quarter. That is not an official non-GAAP number; it is a simple adjustment to stop a volatile investment gain from doing too much work in the valuation story.

My bull case therefore does not rest on calling the stock statistically cheap. I think Alphabet can grow into its valuation if Search stays healthy, Cloud backlog converts, AI products monetize, and capital intensity begins producing higher operating cash flow. That is a quality-and-duration argument, not a bargain-bin argument.

Alphabet's Q2 report is the immediate catalyst. Current analyst consensus compiled by Kiplinger calls for approximately $116.9 billion in revenue and $2.90 in earnings per share. Those are third-party estimates, not company guidance, and the stock can react more to forward commentary than to the headline beat or miss.

I will be listening for Search growth, AI Mode monetization, Cloud growth and margin, backlog conversion, capital-spending guidance, Gemini enterprise adoption, and the expected return on the new financing. I also want management to explain whether infrastructure constraints are easing or whether demand is still outrunning capacity.

Being bullish means identifying what would make me wrong. Alphabet faces real competitive, regulatory, capital, and product risks. OpenAI, Microsoft, Anthropic, Perplexity, Amazon, and others are attacking different layers of the same stack. A dominant distribution position can slow disruption, but it does not make Alphabet immune.

Antitrust risk is also concrete. The U.S. Justice Department won remedies in the Search case that restrict exclusive distribution arrangements and require certain data and syndication access for competitors. Google also lost a separate ad-tech monopoly case. A breakup should not be treated as a settled outcome, but changes to distribution economics or advertising infrastructure can affect the cash engine.

GOOGL is Alphabet Class A stock and carries voting rights. GOOG is Class C stock and does not. The economic exposure is otherwise very similar, and the two prices usually stay close. I use GOOGL in this article because it is the voting share class, but investors should compare the live spread and their own account rules before choosing.

I am bullish over a three-to-five-year horizon. I am less interested in making a heroic call three trading days before earnings. A strong company can deliver a good quarter and still fall if expectations were higher, while a miss can create a better long-term entry if the thesis remains intact.

For a momentum style, I would rather see price confirm institutional demand after the report, or wait for a controlled pullback that holds a meaningful support level. I would not use an undefined-risk options position simply because the narrative sounds strong. Earnings volatility can punish the correct long-term opinion with the wrong short-term structure.

Alphabet has survived the first wave of the generative-AI threat better than the bears expected. Search is growing, Cloud is scaling profitably, Gemini has massive distribution, and Waymo has moved beyond the science-project stage. The company also has the balance sheet and infrastructure to compete at a scale few others can match.

The stock is not obviously cheap, the AI bill is enormous, and antitrust risk is real. That is exactly why this is a thesis rather than a slogan. My view is bullish because the core business is still compounding while new profit engines are becoming measurable. The next checkpoint arrives July 22.

Alphabet Q1 2026 earnings release

Alphabet Q1 2026 Form 10-Q

Google I/O 2026 keynote

Alphabet June 2026 investor presentation

Alphabet Q2 2026 earnings date

Alphabet June 2026 financing announcement

U.S. Justice Department Google Search remedies

GOOGL historical market data

Q2 analyst consensus preview

Disclaimer: MentorSurge is not a financial advisor and this is not financial advice. This article is educational market commentary, not a recommendation to buy, sell, or hold Alphabet or any other security. Prices, estimates, and business conditions can change quickly. Do your own research and consult a licensed professional before risking real money.