+15.1% (FY ended 2025-12-31 vs FY ended 2024-12-31) 10-K
Annual net income
132,170,000,000 USD (FY ended 2025-12-31, attributable to the company) 10-K
Annual operating margin
32.0% (FY ended 2025-12-31)
Forward P/E
Unavailable: no dated forecast source
Gloria daily close for session Oct 28, 2026. Market cap and trailing P/E use this close with the SEC share total and trailing diluted earnings, each dated next to its figure. Annual revenue, revenue growth, net income and margin show their own fiscal period and link the 10-K. Current context may postdate this article.
Alphabet Inc. and its peers
Company
Price
Market cap
P/E (trailing)
Forward P/E
Annual revenue (USD)
Annual revenue growth
Annual net income (USD)
Operating margin
Alphabet Inc.
GOOGL · Price dated Oct 28, 2026 · tokenized GOOGLx
3,333,751,000FY ended 2025-12-31, attributable to the company · 10-K
75.8%FY ended 2025-12-31
Missing figures stay unavailable. Forward P/E requires a dated source. Annual revenue, revenue growth, net income and margin come from each company's own 10-K, in US dollars, and each row shows that fiscal year. Revenue growth compares the fiscal year with the prior year stated in the same 10-K. Net income is the full year amount attributable to the company, or available to common stockholders where the filing states only that, or consolidated net income. Each row names its basis. Trailing P/E reads "Not meaningful" when the dated trailing diluted EPS is a loss or zero. An operating margin appears only when the filing states both the operating income and the revenue for the same year.
Sources: SEC filings, Gloria daily closes and CoinGecko. Oldest record refresh: Oct 28, 2026, 4:51 PM EDT. Refresh is not a price or filing date. Each row shows its price date and its annual fiscal period. Peers use industry code and company size, or editorial selection. Market cap multiplies that row price by the company share total the latest SEC filing states for every share class together. Trailing P/E divides it by trailing diluted earnings from SEC filings. Rolled earnings per share are approximate because share counts can change between periods. Both appear only when the SEC data carries its date, so they are estimates at one price date, not synchronized filing valuations. Not investment advice.
Token vs underlying stock
Current comparison for GOOGL. Historical observations may postdate this article.
Split-adjusted regular-session stock closes from the existing Gloria shared history, paired only with an observed token price within 45 minutes of 16:00 New York time. Up to 60 matched sessions. No interpolation or missing-date fill. Weekends and known early closes are omitted. Token units are not adjusted for issuer multipliers or dividend treatment. This compares quoted prices, not fair value, executable premiums or arbitrage returns. Solid line: token. Dashed line: stock. Exact quote times and values appear below. Historical observations. Retrieval refers to the token source. Token quote times use UTC. The fixed cohort shows its oldest member fetch.
Alphabet token vs Alphabet stock: exact source values
Quoted token and share units can have different rights, multipliers and dividend treatment. This is not an executable premium or arbitrage signal.
Google just showed the world what its search engine looks like when AI stops being a feature and starts being the whole product. At I/O 2026, the company rolled out a reimagined search experience that blurs the line between traditional web search and an AI chatbot, powered by its new Gemini 3.5 Flash model.
For crypto, this matters more than it might seem at first glance. Google Search remains the single largest gateway to information about tokens, protocols, and decentralized projects. When Google changes how answers get surfaced, it changes what answers people see.
What Google actually announced
The centerpiece is a redesigned search box that expands to accommodate longer, more conversational queries. Think less “ETH price” and more “explain how Ethereum’s blob fee market works after the Pectra upgrade.” Google wants users typing full sentences, not keywords.
Alongside the expanded input, Google introduced an AI-powered autocomplete that actively builds on your question, suggesting follow-ups and refinements. Robby Stein, Google’s vice president of product for Search, said users will “reliably” see AI Overviews when they ask natural-language questions.
AI Overviews are the AI-generated summaries that sit at the top of search results. What’s new is the seamless bridge between those summaries and AI Mode, Google’s more immersive, chatbot-style search experience. Users can now flow between the two without friction, essentially turning a simple search into an ongoing conversation with Gemini.
The underlying engine is Gemini 3.5 Flash, which Google positioned as faster and more capable than its predecessors. The model also powers new on-device inference capabilities across Android, meaning some AI processing happens locally rather than in the cloud.
Google also highlighted broader releases around what it calls Gemini Intelligence and open models, aimed at embedding AI functionalities deeper into the Android ecosystem.
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No specific crypto features were announced at I/O 2026. But the structural shift in how Google surfaces information has direct consequences for the entire Web3 ecosystem.
Under the new paradigm, Gemini generates a summary. It synthesizes sources, picks what it considers the most relevant data points, and presents a cohesive answer. Google’s algorithm becomes the arbiter of which protocols, tokens, and projects get visibility in AI-generated answers. A DeFi protocol with strong documentation and mainstream media coverage might fare well. A newer project building on a less-covered chain might effectively disappear from the AI’s radar.
For crypto media outlets, the stakes are equally high. AI Overviews already reduce click-through rates to source websites. When users get their answer directly from Gemini, they have less reason to visit the original article.
Token data platforms face a particularly tricky situation. Sites like CoinGecko, CoinMarketCap, and DeFiLlama depend heavily on organic search traffic. If Gemini starts pulling price data, TVL figures, and protocol comparisons directly into its summaries, those platforms risk becoming invisible infrastructure: their data gets used, but their sites don’t get visited.
What this means for investors
The immediate market impact is zero. Google didn’t announce a crypto product, a blockchain integration, or anything that directly moves token prices.
Project discoverability becomes a new competitive dimension. Crypto teams already optimize for SEO. Now they’ll need to optimize for AI summarization. Projects that produce clear, structured, well-sourced documentation may get preferentially surfaced by Gemini. Projects that rely on community word-of-mouth and social media virality might find their Google footprint shrinking.
Google’s aggressive AI search push is partly a response to emerging alternatives, including AI-native search tools and decentralized information protocols. Projects building in that space, think decentralized oracle networks, on-chain data indexers, and censorship-resistant search protocols, have a clearer narrative now.
Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.
