+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, 9:41 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.
Alphabet CEO Sundar Pichai says Google’s new Carbon model is the strongest AI system the company has built. The full name is Gemini 4 Carbon, and Pichai introduced it on October 28, 2026.
That would be a bigger flex if Google hadn’t shipped its previous flagship, Gemini 4 Argon, only weeks earlier.
The numbers behind the claim
The headline figure comes from the v5.0 Artificial Analysis Intelligence Index. Gemini 4 Carbon scored 59, which puts it in first place on that ranking.
The runners-up are close behind. Anthropic’s Claude Opus 5.5 scored 58, and OpenAI’s GPT-6 Astra landed at 57.
The more interesting story sits in cybersecurity. Carbon posted an 88.2% score on SEC-bench Pro, a benchmark focused on finding vulnerabilities in software.
The model also scored 54.8% on ExploitGym, which tests how well a model can actually exploit weaknesses it finds. On CWE-bench, which measures the ability to patch those weaknesses, it reached 71.0%.
AI, tech, and the markets they move—in one daily briefing.
Daily. Free. Join 34,000+ readers across crypto, finance, and policy.
Google’s internal testing shows Carbon generates secure code at more than double the rate of Gemini 4 Argon.
There’s also a reported 10x improvement in producing high-quality patches in Chrome.
A gated rollout through Fairwind
Google is rolling the model out through its Fairwind Program, starting with a select group of trusted cybersecurity professionals. Broader access is anticipated soon, according to the plans described in the rollout. No firm public date accompanies that expectation.
The model is also undergoing US government pre-release testing.
What it costs
Pricing for now is identical to Argon. Introductory rates are $2 per million input tokens and $10 per million output tokens.
That introductory deal won’t last. Full pricing is set to eventually double, though the timing of that change hasn’t been specified.
Disclosure: This article was edited by Diego Almada Lopez. For more information on how we create and review content, see our Editorial Policy.
