+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 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 DeepMind is quietly testing an internal AI model built specifically for advanced mathematics, an experimental system informally called Mathematica that represents a new branch of the company’s Deep Think reasoning architecture. The model, which builds on the Gemini 3.1 Pro iteration, is designed to tackle complex mathematical problem-solving with a level of depth that goes beyond what current generally available models can handle.
Perhaps the most interesting detail: Mathematica reportedly generates inner monologue outputs that display something resembling genuine excitement during problem-solving. The model produces exclamations like “wait” and “oh my god” in its reasoning traces as it works through tasks, suggesting Google’s engineers have built, or at least stumbled into, a system that narrates its own mathematical discoveries with theatrical flair.
The Gemini Deep Think model achieved a gold-medal standard at the 2025 International Mathematical Olympiad, solving five out of six problems and earning 35 out of a possible 42 points.
Google subsequently developed Aletheia, which extended these mathematical techniques to research-level problems. Mathematica appears to be the next step in that progression, employing what are described as parallel-thinking strategies refined from its predecessor models.
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Mathematica’s reasoning outputs reportedly include exclamations in multiple languages, with examples cited in both English and Chinese characters, such as “等等” (“wait”) and “我的天” (“oh my god”).
Organizational shifts and what comes next
The development of Mathematica coincides with broader organizational changes at DeepMind. The research division underwent restructuring in August 2026, with Demis Hassabis moving into a chairman role.
There is no public release timeline for Mathematica. It remains classified as an internal experimental project, which is fairly standard for Google’s approach to AI research.
Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.
