A two-sided market monopoly in search advertising with massive AI optionality, trading at a reasonable multiple of depressed-by-capex earnings

15.9%

Bryan Lawrence

Oakcliff Capital

GOOGAlphabet Inc.
Value: $37M

We look for two-sided markets that create value for multiple stakeholders.

Bryan Lawrence

The Business

  • (GOOG) is the parent company of Google, the dominant global search engine and digital advertising platform. The company generates $350B in annual revenue across Google Search (57%), YouTube (10%), Google Cloud (13%), and other bets (Waymo, Verily, etc.).
  • Google Search commands 90%+ of the global search market and is the most valuable advertising real estate in existence. FY2024 net income was $100B with 32% operating margins and $73B in free cash flow.
  • The company is investing heavily ($70B+ annually) in AI infrastructure and capabilities through DeepMind and Gemini. Google Cloud is growing 30%+ and recently turned profitable.
  • Alphabet returns ~$70B annually through share buybacks and initiated a dividend in 2024. The company faces its most significant regulatory challenge with the DOJ antitrust case, but even adverse outcomes are unlikely to impair the core search business's economics.

Why They Own It

We look for two-sided markets that create value for multiple stakeholders.

Bryan Lawrence
  • Alphabet fits Lawrence's first preferred business category: a two-sided market that creates value for multiple stakeholders.
  • Google Search connects advertisers with consumers searching for products and services — the most valuable advertising real estate in human history.
  • The business generates $350B in annual revenue with 32% operating margins and $73B in free cash flow.
  • Lawrence likely sees Alphabet as a rare combination of: (1) a near-monopoly in search advertising with 90%+ market share, (2) pricing power through auction-based ad pricing that captures more value as advertiser competition increases, (3) massive optionality in AI (Gemini, DeepMind) and cloud computing (Google Cloud growing 30%+), and (4) shareholder-friendly capital allocation with $70B+ in annual buybacks.
  • At 16x forward earnings after backing out the cash pile, this is a high-quality compounder at a reasonable price.

What the investor sees

At $37M and 15.9% of portfolio, Lawrence holds GOOG as a core compounder. Alphabet earned $8.05 EPS in FY2024. Backing out ~$100B in net cash ($8/share), the stock trades at roughly 19-20x operating earnings. Lawrence's 10-year DCF likely models: (1) 10-12% revenue growth (driven by Search resilience + Cloud acceleration), (2) gradual margin expansion as Cloud turns profitable and AI capex spending normalizes, (3) 2-3% annual share count reduction from buybacks. At those assumptions, 2030 EPS could be $15-20, and at a 20x multiple, the stock is worth $300-400. From current levels around $170-180, that implies a 12-18% IRR — comfortably above Lawrence's 15% trim threshold.

Financial Snapshot

350018

revenue FY2024 millions

100118

net income FY2024 millions

8.05

eps FY2024

32.1

operating margin pct

72764

free cash flow millions

13.9

revenue growth pct

28.6

profit margin pct

58.2

gross margin pct

The Moat

  • Search monopoly — 90%+ global search market share with deeply embedded user habits and advertiser dependency
  • Two-sided market network effects — more users attract more advertisers, more ad revenue funds better search results, creating a virtuous cycle
  • Auction-based pricing captures increasing value as advertiser competition grows without any pricing negotiation
  • YouTube is the second-largest search engine and dominant video platform with its own advertising moat
  • Google Cloud growing 30%+ with AI-driven enterprise demand — becoming the third major revenue pillar
  • DeepMind/Gemini AI capabilities provide optionality across search, cloud, autonomous vehicles (Waymo), and new products
  • Android ecosystem with billions of active devices creates mobile distribution moat
  • Data advantage — billions of search queries daily provide unmatched training data for AI models

What Could Go Wrong

high

DOJ antitrust case — potential remedies could include unbundling Chrome, restricting default search agreements, or even a breakup

high

AI disruption of traditional search — ChatGPT/Perplexity represent the first credible threat to Google's search monopoly in 20+ years

medium

Massive AI capex ($70B+ annually) may not generate proportional returns — risk of over-investment

medium

Regulatory risk globally — EU Digital Markets Act, competition investigations in multiple jurisdictions

low

YouTube content moderation and brand safety concerns could deter advertisers

low

Key-man risk on Sundar Pichai and AI leadership; talent war with OpenAI, Anthropic, Meta

Catalysts

  • Google Cloud profitability inflection — turning profitable in 2023, margins expanding rapidly
  • AI integration into Search (SGE/AI Overviews) could increase monetization per query rather than cannibalize it
  • Waymo autonomous driving commercialization — potentially worth $50-100B+ as standalone business
  • Aggressive buyback program reducing share count 2-3% annually
  • Dividend initiation in 2024 signals shift toward shareholder returns
  • Resolution of DOJ antitrust case could remove uncertainty overhang

In Their Own Words

We try to become the most informed investor in each of our holdings, making roughly two new investments annually.

I develop 10-year cash flow projections for each holding. I target IRRs above 20% for new purchases and trim positions discounting IRRs below 15%.

We own businesses with pricing power that can outrun inflation.

Only about 1% of global assets — $800 billion of $80 trillion — qualify as actively-managed, concentrated value investing.