Private Market View

Hugging Face

Business/Productivity Software · New York, NY · Founded 2016 · Privately Held (backing)

PA Mark · $/share
$25
Sep 2026
Implied valuation
$4.5B
Total raised
$394.7M
Last round
Later Stage VC (Series D)
Aug 2023

Key facts

as of Sep 2026
  • Hugging Face’s last known valuation is $4.5B (Aug 2023).
  • It has raised $394.7M across 3 recorded rounds; the latest was Later Stage VC (Series D) ($235.0M) in Aug 2023.
  • Notable investors include Sequoia Capital, Salesforce Ventures, Qualcomm Ventures, GV, SV Angel — 54 tracked in total.
  • Private Market View tracks 1 recorded secondary trades in Hugging Face shares.
  • Hugging Face has filed 2 Form Ds with the SEC since 2018, most recently Dec 2019 ($19.7M sold to 30 investors).
  • Status: Privately Held (backing).
PA Mark — composite indicative price
LOW confidence
~$25per share
as of Sep 2026 · the exact daily mark is a member feature
Composed from 1 inputs:3rd-party trades 100%
See the platform prints behind this mark →
Free account
See the evidence behind this price
  • ·Post-money valuations for all 3 rounds
  • ·The complete investor list — 54 names
  • ·Watchlist + deal alerts for Hugging Face
Create free account
No card required

Recorded secondary trades

1 on record · Apr 2026 – Apr 2026

1 trades between Apr 2026 and Apr 2026. Exact dates, prices and structures are available to Pro members.

Apr 2026peak 1 prints / monthApr 2026
Counts and months are public. The prints are the product.Unlock 1 trade prints

Institutional fund marks

No fund marks yet

No SEC-registered fund has reported a fair-value mark on Hugging Face in its N-PORT filings yet. We sweep new filings monthly.

Pro members can request priority coverage with a 48-hour turnaround.

Funding rounds

3 rounds
Aug 2023Later Stage VC (Series D)$235.0M▮
Nov 2019Early Stage VC$19.7MSEC filing▮
Apr 2018Debt$3.3MSEC filing▮
Full funding history →

About Hugging Face

Developer of a machine-learning community platform designed to collaborate on models, datasets, and applications. The company's platform emphasizes creating, discovering, and collaborating on machine-learning projects and offers paid computing and enterprise systems to accelerate processes with open-source development, enabling users to support and advance the field of machine learning through collaboration, tools, and services.

Industry
Business/Productivity Software
Sector
Information Technology
HQ
New York, NY, United States
Founded
2016
Employees
220
Ownership
Privately Held (backing)