+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, 10:51 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 Cloud has expanded its partnership with Anthropic and Broadcom. Under the deal, Anthropic gets access to around 3.5 gigawatts of next-generation Tensor Processing Unit capacity, starting in 2027.
The agreement was announced on April 6, 2026. It builds on commitments the companies first made in October 2025.
Who does what in this deal
The deal has three players, and each has a distinct job.
Google owns the TPU, its custom AI chip. TPUs power the company’s internal machine-learning work, including its Gemini models and various consumer services.
Broadcom co-designs those chips with Google, a working relationship that dates back to around 2016. As part of this arrangement, Broadcom finalized a long-term agreement to develop and supply future Google TPUs, plus networking and rack components, through 2031.
Anthropic is the customer, and an increasingly large one. The AI startup behind the Claude models is committing to a huge amount of Google compute.
The money behind the machines
Broadcom executed a $63 billion structured financing agreement, known as Project North Star, around late October 2026.
The package is backed by major financial institutions, including Bank of America, Citigroup and Blackstone. Its purpose is to finance Anthropic’s purchases of TPUs.
Anthropic’s own filings suggest the appetite is real. According to its S-1 filing, the company projects spending of more than $114 billion with Google.
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The broader picture is even larger. As of December 2025, the S-1 highlighted $417 billion in total compute commitments for the future.
Anthropic’s revenue is climbing fast
Anthropic reported a revenue run-rate exceeding $30 billion in April 2026.
At the end of 2025, that number was approximately $9 billion.
A run-rate projects current revenue over a full year. It is a snapshot of momentum, not a guarantee of annual results.
Google wants TPUs everywhere
Google plans to expand TPU sales beyond its own cloud. The company intends to make them available on platforms such as Oracle Cloud Infrastructure starting next year.
Not putting all the chips in one basket
Anthropic is not exclusive to Google. The company runs on a range of hardware, from Google TPUs to NVIDIA chips and AWS solutions.
What this means for the AI compute race
For Broadcom, the agreement through 2031 provides long-term visibility. Designing chips, networking and rack components for Google over that span gives it a steady role in the AI buildout.
For Anthropic, the arrangement secures the capacity it needs to keep training and serving models. The tradeoff is enormous long-term obligations, with $417 billion in compute commitments outlined in its S-1.
The financing structure is the part worth watching most closely. Project North Star ties banks and private capital directly to Anthropic’s chip purchases.
There is also a competitive ripple effect. Commitments this large may push other AI developers and cloud providers to accelerate their own infrastructure spending to keep pace.
Google spent roughly a decade building TPUs mostly for itself, and it now appears ready to sell them to everyone else.
Disclosure: This article was edited by Diego Almada Lopez. For more information on how we create and review content, see our Editorial Policy.
