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Investor profile

HTGF

Venture capital firm · 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

9 Power Law outcomes Power Law Ranking #7 · Germany · 9 Power Law outcomes · Active 2026
Enterprise value ↑ 70% 5y
$9B
Unicorns ↑ 133% 5y
7
Decacorns → 5y
0
Thoroughbreds ↑ 100% 5y
8

HTGF is a venture capital firm active globally. The page below shows 9 Power Law outcomes from HTGF's portfolio — 7 unicorns ($1B+ valuation) and 1 additional thoroughbreds (companies that crossed $100M+ in revenue without yet reaching $1B+ valuation).

Outcomes are concentrated in Biotech & Life Sciences · Other · eCommerce & Marketplaces; top portfolio geographies are Germany. HTGF ranks #7 in Germany in the 2026 Dealroom Power Law Investor Ranking by cross-stage outcomes.

Portfolio analysis

The 9 HTGF Power Law outcomes ($100M+ revenue and above).

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

By countryCount
  1. Germany9
By sectorCount
  1. Biotech & Life Sciences3
  2. Other2
  3. eCommerce & Marketplaces1
  4. Marketing1
  5. Cybersecurity1
  6. Energy1
By stage enteredCount
  1. Series B+2
  2. Series A2
  3. Seed4
01 · Portfolio market map

HTGF's 9 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
9 of 9 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 HTGF first invested in (where data is available — coverage 93%).
02 · Origin of portfolio founders

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

4 founders across the 9 Power Law outcomes — split by country of origin, university attended, and the company they worked at before founding. Semmelweis University and Klarna are the deepest single pipelines.

LocationCount
Germany3
Hungary1
View on app →
UniversityCount
Semmelweis University1
EBS University1
Medizinische Hochschule Hannover1
Imperial College London1
View on app →
Origin companyCount
Klarna1
Jimdo1
UniQure1
smava1
Zalando1
View on app →
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 →
04 · Compare with peers

How does HTGF stack up?

HTGF 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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