+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.
Genspark just did something that should make Google and Microsoft at least mildly uncomfortable. The AI startup, founded by former Baidu executives, released GenOffice as a fully open-source desktop office suite on August 3, complete with AI-native document editing, spreadsheets, presentations, and PDF tools. The entire codebase is now live on GitHub under the Apache License 2.0.
That means anyone can fork it, modify it, and redistribute it. For free. With no ads.
What GenOffice actually is
GenOffice is a desktop application available for both macOS and Windows that handles the four file formats most office workers live inside: .docx, .xlsx, .pptx, and .pdf. The platform ships with what Genspark calls a “Super Agent,” an embedded AI system that powers advanced editing and automation features across all four document types. The core suite is free and ad-free. The AI-powered features operate on a credit system, where users spend Genspark credits to access the more sophisticated capabilities.
Contributors to the open-source project can earn over 1,000 credits. The current release is version 0.4.110, available with signed installers. Genspark has been transparent that this is still an Alpha stage product with known bugs and missing features.
Built in a week for $10,000
Perhaps the most eyebrow-raising detail is the development timeline. Genspark claims the Alpha version was created by a single engineer in approximately one week, at a cost of around $10,000 in AI tokens.
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Genspark unveiled GenOffice during the AGI Playground 2026 event, positioning it as the first fully-featured open-source AI office suite. The company has also previously built Microsoft Office plugins and mobile app functionalities, suggesting GenOffice isn’t a pivot but rather an expansion of Genspark’s broader productivity ambitions.
The company behind the code
Genspark isn’t some garage startup running on fumes. The company has raised hundreds of millions of dollars in funding and achieved unicorn status, meaning a valuation north of $1 billion. That kind of financial backing from a team with deep search and AI experience (Baidu is essentially China’s Google) makes GenOffice a more credible threat than the typical open-source passion project.
The Apache License 2.0 choice is also worth noting. It’s one of the most permissive open-source licenses available, allowing commercial use, modification, and distribution with minimal restrictions.
Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.
