Alphabet Inc (GOOGL) Fair Value & Analysis
Communication Services · US · Market cap $4.5T
Fair value as of: Jun 24, 2026
From 26 valuation models · updated 8 days ago
Fair value updated Jun 24, 2026 — revised from $365.88 to $303.47 (−17.1%) since Jun 23, 2026. Share price −0.5% over the past month.
Price vs Fair Value (12 months)
12‑month range $167.21 – $386.97 · fair‑value band $223.86 – $789.01 · the $346.13 price screens above the $303.47 fair value. As of Jun 24, 2026.
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Alphabet Inc (GOOGL) currently trades at $346.13, while our model-based Fair Value estimate is $303.47 — implying the stock looks roughly 12.3% overvalued today. We read business quality at 75/100 (high quality), in the Communication Services sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
Over the trailing twelve months, Alphabet Inc generated revenue of $422B at a net margin of 37.9%. Revenue grew 21.8% year over year. It earns a return on equity of 38.9%. Net debt stands at $28.6B. Fundamentals as of Jun 24, 2026
Key figures & financial health
More key figures
Figures from reported company fundamentals (EODHD) · as of Jun 24, 2026. TTM = trailing twelve months.
About the company
Alphabet Inc. offers various products and platforms in the United States, Europe, the Middle East, Africa, the Asia-Pacific, Canada, and Latin America. It operates through Google Services, Google Cloud, and Other Bets segments. The Google Services segment provides products and services, including ads, Android, Chrome, devices, Gmail, Google Drive, Google Maps, Google Photos, Google Play, Search, and YouTube. It is also involved in the sale of apps and in-app purchases and digital content in Google Play and YouTube; and devices, as well as the provision of YouTube consumer subscription services, such as YouTube TV, YouTube Music and Premium, NFL Sunday Ticket, and Google One. The Google Cloud segment offers consumption-based fees and subscriptions for AI solutions, including AI infrastructure, Vertex AI platform, and Gemini enterprise. It also provides cybersecurity, and data and analytics services; Google Workspace that include cloud-based communication and collaboration tools for …
Revenue & earnings trend
FY2021 – FY2025 · reported fiscal years
Alphabet Inc reported revenue of $403B in FY2025 versus $258B in FY2021, a compound +11.8%/yr. Reported net income was $132B in FY2025, compounding +14.8%/yr from FY2021.
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Recent news
- Alphabet Joined the Dow and Became a Top Holding in Berkshire Hathaway's Portfolio. But This Stock Could Be an Even Better Buy.
- AMP Says Bonds No Longer a Hedge, Cuts From Some Pension Funds
- Meta Wants In on the Cloud. Is Amazon Stock Still a Buy?
- OpenAI Is Now Considering a 2027 IPO With a $1 Trillion Valuation. Should Investors Expect the Same Volatility as the SpaceX IPO?
External third-party headlines (Yahoo Finance, Reuters and others) — not an editorial selection, not financial advice.
Similar stocks
6 more Internet Content & Information stocks, each showing price versus our Fair Value estimate (as of Jun 24, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| GOOG GOOG | 6,304 MXN | 370.70 MXN | -94% |
| Meta Platforms, Inc META | $570.98 | $610.27 | +7% |
| Tencent Holdings TCEHY | $59.06 | $42.01 | -29% |
| Spotify Technology S.A 639 | €398.00 | €260.66 | -35% |
| Recruit Holdings RCRUY | $14.11 | $9.86 | -30% |
| Baidu, Inc 9888 | HK$125.60 | HK$30.33 | -76% |
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.