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GV

Corporate venture · Mountain View, USA · Founded 2009 · Active in 2026

← Power Law Ranking

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

144 Power Law outcomes Power Law Ranking #47 · 144 Power Law outcomes · Active 2026
Enterprise value ↑ 24% 5y
$833B
Unicorns ↑ 28% 5y
136
Decacorns ↓ 15% 5y
11
Thoroughbreds ↑ 28% 5y
142
Featured in #47Power Law Investor Ranking · Global · 2026 Top 1%by Seed → $100M+ revenue outcomes

GV is a corporate venture based in Mountain View, USA, founded in 2009. The page below shows 144 Power Law outcomes from GV's portfolio — 136 unicorns ($1B+ valuation) and 6 additional thoroughbreds (companies that crossed $100M+ in revenue without yet reaching $1B+ valuation).

Outcomes are concentrated in Biotech & Life Sciences · AI · Other B2B Software; top portfolio geographies are USA · UK · Canada. GV ranks #47 globally in the 2026 Dealroom Power Law Ranking by Seed → $100M+ revenue companies.

Portfolio analysis

The 144 GV Power Law outcomes ($100M+ revenue and above).

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

By countryCount
  1. USA129
  2. UK10
  3. Canada1
  4. France1
  5. Switzerland1
  6. Israel1
  7. Finland1
By sectorCount
  1. Biotech & Life Sciences31
  2. AI19
  3. Other B2B Software16
  4. Fintech15
  5. Cybersecurity14
  6. eCommerce & Marketplaces13
  7. Health Tech & Medtech12
  8. Marketing5
  9. Transportation5
  10. Other5
  11. Edtech4
  12. Food3
By stage enteredCount
  1. Series B+106
  2. Series A28
  3. Seed8
01 · Portfolio market map

GV's 144 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
144 of 144 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 GV first invested in (where data is available — coverage 93%).
02 · Origin of portfolio founders

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

426 founders across the 144 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 States242
United Kingdom31
India20
Canada14
Sweden7
Denmark7
Germany6
Palestine6
China5
Egypt4
+19 more →
UniversityCount
Stanford University35
Massachusetts Institute of Technology28
Berkeley13
University of Michigan12
University of Oxford11
Harvard University8
Harvard Business School8
University of Cambridge6
University of Waterloo5
Chalmers University of Technology5
+133 more →
Origin companyCount
Alphabet | Google38
Microsoft20
Yahoo!14
Meta12
Apple10
Uber5
Google DeepMind4
Nvidia4
eBay4
PayPal4
+132 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 GV.

Senior investment team at GV has not been published on this profile yet.
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04 · Compare with peers

How does GV stack up?

GV 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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Data as of 15 Apr 2026 · Source: Dealroom Power Law dataset · Methodology
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