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Investor profile

Peter Thiel

Angel investor · San Francisco, USA · Founded 2004 · Active in 2026

A public taster of the full Dealroom platform — request a demo to explore live deal flow, full investor history, and team intel. · Last updated 15 Apr 2026 · Methodology

46 Power Law outcomes Power Law Ranking #73 · 46 Power Law outcomes · Active 2026
Enterprise value ↑ 106% 5y
$2.9T
Unicorns ↑ 20% 5y
42
Decacorns ↑ 56% 5y
14
Thoroughbreds ↑ 22% 5y
45

Peter Thiel is an angel investor based in San Francisco, USA, founded in 2004. The page below shows 46 Power Law outcomes from Peter Thiel's portfolio — 42 unicorns ($1B+ valuation) and 3 additional thoroughbreds (companies that crossed $100M+ in revenue without yet reaching $1B+ valuation).

Outcomes are concentrated in Fintech · Biotech & Life Sciences · AI; top portfolio geographies are USA · Germany · Canada. Peter Thiel ranks #73 globally in the 2026 Dealroom Power Law Ranking by Seed → $100M+ revenue companies.

Portfolio analysis

The 46 Peter Thiel Power Law outcomes ($100M+ revenue and above).

Snapshot of where the outcomes are concentrated by country, sector, and stage entered.

By countryCount
  1. USA36
  2. Germany6
  3. Canada2
  4. New Zealand1
  5. UK1
By sectorCount
  1. Fintech18
  2. Biotech & Life Sciences5
  3. AI4
  4. eCommerce & Marketplaces4
  5. Cybersecurity4
  6. Other3
  7. Edtech2
  8. Other B2B Software2
  9. Health Tech & Medtech1
  10. Transportation1
  11. Food1
  12. Space1
By stage enteredCount
  1. Series B+24
  2. Series A11
  3. Seed6
01 · Portfolio market map

Peter Thiel's 46 Power Law outcomes.

Toggle between a sector landscape and a world map. Both views respond to the stage and outcome-tier filters. The faded names at the bottom of bigger boxes are part of the full list — click "+ N more" to reveal them.

Stage entered
Outcome tier
Region
Group by
46 of 46 Power Law outcomes
Logos hosted by Dealroom; click any chip to open the company in app.dealroom.co. The dot inside each chip shows the company's highest tier — red Gigacorn, violet Centicorn/Decacorn, lavender Unicorn, blue Thoroughbred, green Colt. Tiers are inclusive: a Unicorn (e.g. Klarna) also matches the Thoroughbred filter, a Decacorn also matches Unicorn and Thoroughbred, and so on up the ladder. Colt is a separate axis (high-growth, smaller revenue) and only matches itself. Map dots use the same colour code; hover for details. Sectors are mutually exclusive (priority-ordered classification). Stage entered = the round Peter Thiel first invested in (where data is available — coverage 93%).
02 · Origin of portfolio founders

Where Peter Thiel's founders come from — and where they study.

147 founders across the 46 Power Law outcomes — split by country of origin, university attended, and the company they worked at before founding. Stanford University and Alphabet | Google are the deepest single pipelines.

LocationCount
United States71
Germany12
Austria6
India6
Canada5
Netherlands4
South Africa4
Slovakia3
Vietnam3
Hong Kong2
+9 more →
UniversityCount
Stanford University22
Harvard University13
University of Pennsylvania7
University of Toronto4
University of St.Gallen4
Berkeley3
Carnegie Mellon University3
Yale University3
Cornell University3
New York University3
+42 more →
Origin companyCount
Alphabet | Google12
Palantir9
Meta7
PayPal5
Microsoft4
Enova International3
Tesla2
Amazon2
Topguest2
SpaceX | xAI2
+32 more →
Origin = country a founder is born in or grew up in (founders may have multiple origins; counts include all entries). University = highest-listed degree. Origin company = a previous employer where the founder was tagged before starting their current company. Explore the full Sequoia infographic on Thoroughbreds & Unicorns →
03 · Key people

Key people at Peter Thiel.

Senior investment team at Peter Thiel has not been published on this profile yet.
Suggest the partner roster →
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04 · Compare with peers

How does Peter Thiel stack up?

Peter Thiel in orange, your selection in blue and other colours. Pick from the global roster of 35 peer investors — filter by region or hit "Find similar shapes" to auto-pick the three closest. The funnel matrix mirrors the spider chart on the ranking page; the line chart shows each firm's share of global unicorns minted that year — peaks reveal vintage years.

Compare against

Stage focus

Companies by entry stage and outcome tier

Sector focus

Companies per investor across the 10 highest-volume sectors

Share of new unicorns per year

% of all global unicorns minted that year, year by year
Source: Dealroom Power Law dataset. Investors shown are the 2026 Power Law top 35 by combined entry-to-outcome score, drawn from the overview and locations_data sheets. Funnel-matrix axes rescale per-axis using the maximum among the currently selected investors, so the polygons always fill the chart for shape comparison.

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