+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 27, 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 27, 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 27, 2026, 8:48 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 wants your favorite apps to live inside its AI. The company has debuted its Connected Apps Platform, a new way for businesses to hook their services into the AI experiences running across Google Search and Gemini.
The pitch is simple. Instead of hopping between tabs, you ask Google’s AI to do the task, and it calls on the relevant app to get it done.
From a handful of integrations to a platform
Connected apps are not brand new. Google first brought them to Gemini and Google Search earlier this year.
The feature lets users securely link popular third-party services and then use them to carry out specific actions. Want a flyer? Connect Canva and have it designed. Need a playlist? Link YouTube Music and let the AI assemble one.
The new platform shifts the emphasis from users to businesses. The goal is to make it easier for companies to connect their own apps to Google’s AI products, rather than waiting for Google to hand-pick partners one at a time.
A busy few months for connected apps
The rollout has moved quickly. On July 16, 2026, Google launched connected apps that let users link services directly within Gemini and the AI Mode in Google Search.
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Early examples included Instacart, Canva and YouTube Music. That meant actions like dropping items into a shopping cart or building design templates could happen inside an AI conversation.
Then came the Made by Google event on August 12-13, 2026. There, Google announced more than 13 new connected apps, including Granola, Otter.ai, Wix and Ticketmaster.
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On September 23, 2026, Google added another 14 apps to Gemini, among them Airtable, Adobe, Peloton and monday.com.
By late September 2026, over 60-70 third-party apps were integrated with Google’s systems through connected apps.
Opt-in by design
Google has built the feature around explicit consent. Users have to opt in for each individual app before Gemini can touch it.
Those links and permissions can be managed in settings. In practice, that means you decide which services the AI can access and what it is allowed to do with them.
Availability also comes with fine print. Connected apps are subject to restrictions based on region, language and account type, which points to a phased rollout rather than a global flip of the switch.
What this means for businesses and users
For businesses, the calculation is fairly direct. If customers increasingly ask an AI to book, buy or build things, being reachable inside that AI could become as important as having a website or a mobile app.
The companies already on board illustrate the range of interest. Retail, creative software, productivity tools and entertainment brands are all represented in the integrations announced so far.
There is a trade-off, though. Companies that plug in are effectively letting Google sit between them and their customers, at least for some interactions.
For users, the appeal is convenience. Fewer apps to open, fewer screens to tap through, and more tasks handled in a single conversation.
The opt-in model is the safeguard that makes this palatable. Granting an AI permission to act on your behalf inside a shopping cart or a work tool is a level of trust most people will want to extend carefully.
Disclosure: This article was edited by Diego Almada Lopez. For more information on how we create and review content, see our Editorial Policy.
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