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Investor profile

Mark Cuban

Angel investor · Dallas, USA · Founded 1995 · 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

16 Power Law outcomes Power Law Ranking #58 · 16 Power Law outcomes · Active 2026
Enterprise value ↑ 42% 5y
$60B
Unicorns ↑ 38% 5y
18
Decacorns → 5y
1
Thoroughbreds ↑ 29% 5y
18

Mark Cuban is an angel investor based in Dallas, USA, founded in 1995. The page below shows 16 Power Law outcomes from Mark Cuban's portfolio — 18 unicorns ($1B+ valuation) and 0 additional thoroughbreds (companies that crossed $100M+ in revenue without yet reaching $1B+ valuation).

Outcomes are concentrated in Fintech · Other B2B Software · AI; top portfolio geographies are USA · UK · Singapore. Mark Cuban ranks #58 globally in the 2026 Dealroom Power Law Ranking by Seed → $100M+ revenue companies.

Portfolio analysis

The 16 Mark Cuban Power Law outcomes ($100M+ revenue and above).

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

By countryCount
  1. USA12
  2. UK1
  3. Singapore1
  4. Switzerland1
  5. Cayman Islands1
By sectorCount
  1. Fintech9
  2. Other B2B Software2
  3. AI1
  4. Space1
  5. Robotics1
  6. Other1
  7. Cybersecurity1
By stage enteredCount
  1. Series B+5
  2. Series A3
  3. Seed8
01 · Portfolio market map

Mark Cuban's 16 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
16 of 16 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 Mark Cuban first invested in (where data is available — coverage 93%).
02 · Origin of portfolio founders

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

52 founders across the 16 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 States21
Denmark7
Spain5
Norway3
Austria3
Vietnam3
India3
Germany3
Serbia1
Nepal1
+2 more →
UniversityCount
Stanford University5
Copenhagen Business School2
University of Erlangen-Nuremberg2
Princeton University2
Yale University2
Yeshiva University2
University of Michigan2
University of Washington2
Norwegian University of Science and Technology1
Vienna University of Economics and Business1
+18 more →
Origin companyCount
Alphabet | Google3
Apple3
Amazon2
Honey2
Twitch1
bwin1
Axie Infinity1
Persistent Systems1
Yahoo!1
Crunchyroll1
+13 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 Mark Cuban.

Senior investment team at Mark Cuban has not been published on this profile yet.
Suggest the partner roster →
No partner roster has been published on this profile yet.
04 · Compare with peers

How does Mark Cuban stack up?

Mark Cuban 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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