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No Korean brokerage among 22 institutions named in Anthropic IPO filing

No Korean brokerage is among the 22 financial institutions named in Anthropic's US IPO filing, The Korea Herald reported, potentially leaving Korean retail investors without direct access to shares before the Nasdaq debut.

AI & modelsAnalysisRachel NwosuPublished: 4 November 20263 min readSources 28
No Korean brokerage among 22 institutions named in Anthropic IPO filing

No Korean brokerage in the syndicate

None of the 22 financial institutions named in Anthropic's filing is a Korean brokerage, and no domestic firm has publicly disclosed a role, The Korea Herald reported. The Financial Supervisory Service has received no related underwriting filings. The absence could leave Korean retail investors without direct access to IPO shares, because allocations are typically distributed through members of the US underwriting syndicate.

Korean brokerages have long struggled to secure roles in major US listings because of limited international underwriting networks. Their reluctance this time also reflects the fallout from Mirae Asset Securities' participation in SpaceX's IPO: the firm joined the syndicate but received no share allocation for its clients, prompting an on-site inspection by the financial regulator.

Pricing terms still blank

Anthropic filed its S-1 with the SEC on 26 October for a Class A listing on Nasdaq under the ticker ANT. The document leaves the price range and the number of shares blank. Goldman Sachs and Morgan Stanley are leading the offering.

Anthropic has not disclosed a target valuation or offering size. Media reports have put the possible valuation between $1.5 trillion and $2 trillion, a level that would rank it among the most valuable companies in the world on its first day of trading.

Revenue grows, losses widen

The original S-1 showed $16.3 billion in first-half revenue, up from about $1.2 billion a year earlier, and an $80.7 billion net loss, largely from accounting adjustments on convertible notes. A later amended filing added third-quarter results: revenue of $17 billion, up from $11.5 billion in the previous quarter and $1.4 billion a year earlier. The net loss was $23.3 billion, stemming mostly from non-cash accounting charges tied to the rising valuation, and the operating loss was $567 million, AFP reported.

By September, more than 11,900 customers spent at least $100,000 a year, and more than 1,900 spent at least $1 million.

Japan takes a different route

Japanese financial institutions are seeking to raise a record $3.5 billion from domestic investors through Anthropic's IPO, The Korea Herald reported. Mizuho Securities, one of the 22 institutions named in the US underwriting syndicate, is leading the Japanese offering. The target is about 60 percent larger than the $2.18 billion raised from Japanese investors during SpaceX's IPO.

Without access to the IPO, Korean investors may have to wait until the stock begins trading on Nasdaq. Korean asset managers are already preparing ETFs designed to add Anthropic shares after listing, though delays in portfolio adjustments could limit exposure to any immediate post-IPO rally.

What happens next

The timetable is not final. Bloomberg reported that marketing could begin as soon as the week of 9 November, with trading possibly before Thanksgiving on 26 November. The SEC must declare the registration effective before any shares are sold, and the final price is set the evening before trading starts.

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Sources

28
  1. 01Korean brokerages sit out Anthropic IPO after SpaceX setbackEN
  2. 02When Is Anthropic's IPO? Claude Maker Files to List on Nasdaq as Trading Debut Is Targeted Before ThanksgivingEN
  3. 03Anthropic IPO Filing: Valuation, Finances and Key DetailsEN
  4. 04Anthropic IPO Filing Puts "ANT" on Nasdaq: Could the Claude Maker Debut Bigger Than Bitcoin?EN
  5. 05Anthropic says revenue surged 1100 percent ahead of IPOEN
  6. 06Anthropic-linked crypto contracts draw leveraged pre-IPO bets as debut trading turns volatileEN
  7. 07Adobe puts its marketing AI agent inside ChatGPT, Claude and CopilotEN
  8. 08Anthropic's new prototype proves which model wrote an AI response without exposing its weightsEN
  9. 09Wer spricht da? Anthropic stellt Identitätsnachweis für KI-Modelle vorEN
  10. 10Anthropic is still grappling with the economics of computeEN
  11. 11Anthropic's Message Threads cut time to first token by 35 percent for long conversationsEN
  12. 12Ex-Phoenix Court partner launches $17M debut solo fund to discover next LovableEN
  13. 13The ETS Investment Engine: Scaling Europe’s Strategic E-fuel Market for Shipping & AviationEN
  14. 14Global EV battery market share in January-September 2026: CATL 39.1%, BYD 15.2%EN
  15. 15Why Chinese AI stars like Z.ai, MiniMax struggle to match Anthropic’s profit marginEN
  16. 16Anthropic VS code extension on Cursor backdoored for nearly 12 hoursEN
  17. 17Beyond the follower count: What the world’s most marketable athletes have in commonEN
  18. 18Official Claude Code Extension on Cursor Marketplace Trojanized with Persistent SSH BackdoorEN
  19. 19DeepSeek unveils AI ‘super agent’ in coding race with OpenAI, AnthropicEN
  20. 20Tencent targets Southeast Asia as launch pad for AI agent WorkBuddy amid tough local marketEN
  21. 21How to Invest in Anthropic IPO Malaysia 2026 - MoomooEN
  22. 22Aryna Sabalenka named world’s most marketable athlete in 2026EN
  23. 23Anthropic IPO warns its AI could blackmail people, become sentient, end humanityEN
  24. 24How we compiled the 50 Most Marketable Athletes of 2026EN
  25. 25Five things to know about this year’s 50 Most Marketable AthletesEN
  26. 26Aryna Sabalenka’s rise from undervalued talent to most marketable athleteEN
  27. 27How China ‘risk factors’ loom over Anthropic’s hotly anticipated IPO filingEN
  28. 28Apple iPhone Duo price premiums evaporate in China’s scalper marketEN

All figures and quotations in this text come from the sources listed below.

Content prepared by the editorial team with AI assistance.

Rachel Nwosu

Rachel Nwosu

AI, models and technology

Rachel Nwosu covers AI, models and technology for FLASH24, working from public model documentation, benchmark releases and repository histories rather than press summaries, and she skips announcements that arrive without reproducible numbers. She checks training-data claims against dataset cards and reruns reported metrics where code is available. She spends much of her week interviewing researchers and engineers, tracking model launch calendars, and comparing vendor benchmarks with independent evaluations. Outside the desk she runs 3D printers, restores old computers, and tests how models learn from internet junk. She does not publish benchmark figures she cannot trace to a source.

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