Factbox-Anthropic confidentially files for US IPO as it looks to beat OpenAI

Reuters reports a wave of major 2026 IPO candidates, led by Anthropic's confidential U.S. filing and SpaceX's planned roadshow on June 4, with a share sale as early as June 11. Anthropic last raised $65 billion at a $965 billion post-money valuation, while SpaceX could target about $75 billion at roughly a $1.75 trillion valuation, potentially making it the largest IPO ever. OpenAI is also preparing a confidential filing and could seek a valuation of up to $1 trillion, underscoring a strong AI-led IPO pipeline.

Analysis

This is less a single-event earnings story than a sequencing trade in the private-markets complex. A credible path to multiple mega-IPOs forces late-stage venture holders to reprice exit optionality, which should tighten spreads for the highest-quality private AI, space, and infrastructure assets while starving weaker growth names of attention and secondary liquidity. The first-order beneficiaries are the banks with the deepest IPO and private-placement franchises: mandated launch calendars, sponsor financing, and post-IPO hedging flow are more valuable than headline underwriting fees because they create a multi-quarter annuity of activity.

The second-order winner is the ecosystem around new-issue distribution: prime brokers, index providers, lockup traders, and options market makers. If these deals clear near the top of range, it pulls implied volatility higher across the AI basket and improves monetization for listed AI proxies; if pricing is forced lower, it becomes a signal that private valuations are finally meeting public-market discipline, which would compress the premium on the entire “future ARR” cohort. That dynamic matters more for GS/MS than for the individual issuers: the banks gain whether the market is hot or merely active, but their beta to sentiment is asymmetric because failed or delayed mega-deals quickly freeze the pipeline.

The real contrarian risk is that a concentrated wave of large offerings becomes self-defeating. The market can absorb one or two trillion-dollar narratives, but if multiple supply events land into a still-selective public equity market, you get valuation substitution rather than expansion: capital rotates out of existing AI winners into the new listings, pressuring multiples for names with similar growth profiles but less scarcity. In that scenario, the public comps trade down before the IPOs price, and the expected celebratory boom becomes a crowded deal-trade with weak aftermarket performance over the next 1-3 months.

Key Decisions for Investors

• Long GS/MS into the IPO roadshow window, with a 1-3 month horizon: favor a basket long over single-name exposure because fee pools, ECM activity, and hedging flows should broaden; use a 5-8% trailing stop if bookbuilding shows discounting or postponements.
• Pair trade: long GS, short a broad tech benchmark or high-multiple software ETF over the next 6-10 weeks. Rationale: banks capture activity regardless of final listing performance, while the index is vulnerable to valuation rotation if new mega-supply tightens AI multiples.
• Buy downside protection on APP or similar high-multiple AI momentum names via 2-4 month puts or put spreads. If the IPO calendar accelerates, listed AI comps are the most likely source of liquidity for new-money demand, creating a 10-15% drawdown risk even without fundamental deterioration.
• Avoid chasing pre-IPO enthusiasm in late-stage private secondary vehicles until pricing clears. The risk/reward is poor if the first wave prices at a discount to last private marks; wait for aftermarket data before adding exposure to the broader private-markets theme.
• If you want event convexity, own near-dated call spreads on GS rather than outright stock. The upside is tied to a visible catalyst cluster, while downside is cushioned if the IPO market merely normalizes instead of exploding.