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finance.foundation / Companies / Alphabet (GOOGL)
Company · Communication Services · Internet & Search

Alphabet (GOOGL)

Parent of Google: search, advertising, YouTube, Android, Google Cloud and AI research (DeepMind).

Legal name
Alphabet Inc.
Ticker
GOOGL
Exchange
Nasdaq Stock Market · MIC XNAS
Country
United States
Sector
Communication Services
Industry
Internet & Search
Market cap ≈
$4.2tn — computed, not copied: 12.230bn shares × $346.59 close on 2026-08-28
Reporting currency
USD
Founded
1998
Website
abc.xyz
LEI
5493006MHB84DD0ZWV18 (GLEIF)
ISIN
US02079K3059 (check digit validated)
FIGI
BBG009S39JY5 (share class, OpenFIGI)

Graph connections view in graph →

Sector peers — Communication Services

Compare: GOOGL vs META · GOOGL vs 0700 · GOOGL vs NFLX

How this market cap is arrived at

Shares outstanding12,230,000,000
Basisoutstanding
As of2026-06-30
SourceSEC 10-Q cover page (2026-06-30)
Price346.59 USD · GOOGL · close 2026-08-28
VenueNasdaqGS
Market cap$4.2tn

Three things break a naive shares x price calc here. (1) Class B is NOT on the 10-Q cover page (it is not a 12(b)-registered security) — anyone reading only the cover gets 11,395m and understates the cap by ~7%. Class B comes from the balance sheet parenthetical.

Share counts move on a filing cadence, prices move continuously — so this figure is exact only as of the two dates above, and we publish both rather than a single undated number. Provenance.

Fundamentals

From the 10-K for the year ended 2025-12-31USDAs reported
Revenueus-gaap:Revenues $402.8bn
Operating incomeus-gaap:OperatingIncomeLoss $129.0bn
Net incomeus-gaap:NetIncomeLoss $132.2bn
Research & developmentus-gaap:ResearchAndDevelopmentExpense $61.1bn
Total assetsus-gaap:Assets $595.3bn
Shareholders' equityus-gaap:StockholdersEquity $415.3bn
Cash & equivalentsus-gaap:CashAndCashEquivalentsAtCarryingValue $30.7bn

Net margin 32.8% — net income divided by revenue, both from this same filing.
Market cap / net income 32.1× — a market value from 2026-08-28 divided by earnings for a year that ended 2025-12-31. The two dates are far apart on purpose: this is arithmetic on two published numbers, not a valuation.

Every figure above is read from the same 10-K, filed 2026-02-05, and each row names the XBRL tag it came from so it can be checked against the document. Metrics absent from that filing are absent here rather than sourced from a different year — a table mixing periods is individually true and collectively meaningless.

Identifier crosswalk

StandardValueWhat it answers
Ticker GOOGL Venue-local shorthand — ambiguous across markets
MIC XNAS ISO 10383 — the venue
ISIN US02079K3059 ISO 6166 — the security
LEI 5493006MHB84DD0ZWV18 ISO 17442 — the legal entity
FIGI BBG009S39JY5 OpenFIGI — instrument, share class
CUSIP 02079K305 Derived from the US/CA ISIN, check digit verified — licensed identifier, not republished as data

6 naming systems for one entity — only codes we actually hold are listed, with no gaps filled by guessing. Sources: LEI from GLEIF (CC0), ISIN read from the issuer's own primary listing document, with its ISO 6166 check digit validated, FIGI from OpenFIGI (open standard), MIC from the ISO 10383 registry. CUSIP appears because it is arithmetically embedded in US and Canadian ISINs — we derive and verify it from a code we already hold, and we do not redistribute CUSIP Global Services data. Each linked code opens its reverse-lookup page; the validator checks any code's check digit. seed-0.7 · marketcap-1 · 2026-08-30.

Approximate reference values from public sources · seed-0.7 · marketcap-1 · 2026-08-30 · not real-time. See data & methodology.

# this page as data GET https://finance.foundation/api/v1/companies/alphabet

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curl -s https://finance.foundation/api/v1/companies/alphabet
Python
import requests r = requests.get("https://finance.foundation/api/v1/companies/alphabet", timeout=30) r.raise_for_status() data = r.json()
JavaScript
const r = await fetch("https://finance.foundation/api/v1/companies/alphabet"); if (!r.ok) throw new Error(r.status); const data = await r.json();
pandas
import pandas as pd df = pd.read_csv("https://finance.foundation/api/v1/companies/alphabet.csv")