+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.
The AI infrastructure boom has a timing problem. Chip stocks are feeling the pain of delayed Google AI projects, but the companies actually writing the checks for data centers haven’t flinched, continuing to pour record amounts of capital into buildouts that will take years to complete.
The delay problem is bigger than Google
Nearly half of planned 2026 US AI data center mega-projects are facing some form of delay, postponement, or outright cancellation. Of the anticipated 12-16 GW of data center capacity, only about 5 GW is under active construction as of mid-2026.
JPMorgan found that over 60% of data center capacity planned for 2027 hasn’t even started construction yet.
The culprits are the usual suspects in large-scale infrastructure: power grid constraints, permitting difficulties, and supply chain bottlenecks.
For chip manufacturers like NVIDIA, AMD, and Broadcom, these delays translate directly into uncertainty about near-term demand. If the data centers aren’t being built on schedule, the chips that would fill them aren’t being ordered on schedule either.
Alphabet’s $85B bet says otherwise
In early June 2026, Alphabet announced plans to raise approximately $85 billion in equity to fund AI-related data center construction. The raise includes a $10 billion commitment from Berkshire Hathaway.
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Alphabet’s shares still dropped 3.9% following the announcement.
Alphabet isn’t alone in writing enormous checks. The collective AI infrastructure spending by major tech companies, including Amazon, Meta, and Microsoft, may exceed $650 billion in 2026.
A bifurcated market emerges
What’s developing is a two-speed market in AI infrastructure. On one track, you have the immediate reality of construction delays, permitting headaches, and power constraints creating genuine uncertainty about when capacity comes online. On the other track, you have the largest technology companies on earth committing record capital because they believe AI workloads will eventually consume every megawatt they can build.
What this means for investors
The gap between announced spending and actual construction creates a peculiar dynamic for anyone holding chip stocks or data center-adjacent equities. The $650 billion in planned spending acts as a floor for long-term demand expectations. But the fact that only about 5 GW out of 12-16 GW of planned capacity is actively being built means that floor is further away than many investors initially priced in.
Semiconductor investors need to watch two things closely. First, whether the power grid and permitting bottlenecks show signs of easing, which would accelerate deployment timelines and pull chip orders forward. Second, whether any of the hyperscalers actually reduce their capital expenditure guidance, which would be the real bearish signal. So far, none have.
Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.
