+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 29, 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 29, 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 29, 2026, 12:56 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.
Artificial Analysis launched its HLE-Diamond leaderboard on October 27, 2026, and the early results show a clear hierarchy: Google’s Gemini 4 Carbon sits at the top with 69.1% overall accuracy, and open-weight models are a long way behind.
What HLE-Diamond actually measures
HLE-Diamond is a refined subset of Humanity’s Last Exam. The new version trims the test down to 1,000 questions.
Those questions are split between two categories: reasoning and knowledge. Reasoning tests whether a model can work through a problem. Knowledge tests whether it actually knows the relevant facts.
The set also includes 272 image-based items. That means a model cannot coast on text skills alone. It has to interpret visual information too.
Artificial Analysis is using HLE-Diamond to replace its earlier Humanity’s Last Exam evaluation. The stated goal is a more accurate picture of how AI models perform across realistic workloads.
Anthropic’s Claude Opus 5.5 took second place at 67.9%. That leaves just 1.2 points between the top two.
Below the leaders, the field thins out quickly. Only around 13% of the model variants tested cleared 50% accuracy on HLE-Diamond.
The open-weight problem
On HLE-Diamond, the gap between the top proprietary models and the best open-weight models exceeds 30 points.
That is not a rounding error. On a test where the leader scores 69.1%, a 30-plus point deficit puts the best open alternatives somewhere below 40%.
How it fits into the bigger index
HLE-Diamond is not a standalone project. It arrived as part of the rollout of the Artificial Analysis Intelligence Index v5.
Within that index, HLE-Diamond carries a 10% weight. It is one ingredient in a broader composite score, not the whole recipe.
Gemini 4 Carbon was announced on October 28, 2026, one day after the leaderboard went live. The model launched with introductory pricing of $2/$10 per million input/output tokens.
Disclosure: This article was edited by Diego Almada Lopez. For more information on how we create and review content, see our Editorial Policy.
