On Polymarket’s main market on Anthropic’s first-day closing market value, the brackets at or above $1.5 trillion summed to 34.1% at 07:07 UTC on 15 November, by our arithmetic. On the same market’s prices at 13:47 UTC on 14 November, we counted about 48.7%.
The single most-priced bracket is now $1.25 trillion to $1.5 trillion, at 42.1%. Anthropic’s S-1/A sets a price range of $70 to $78 a share, which values the company at $916.1 billion to $1,020.8 billion on its filed share count, by our arithmetic.
Business Pill · IPO float explained
An evergreen Business Engineer explainer on IPO float. It teaches the general idea only and does not discuss Anthropic’s offering or Polymarket.
The key insight: As we read the prices, the market’s centre of gravity for Anthropic’s first day sits above the filed range but below $1.5 trillion: the $1.25 trillion to $1.5 trillion bracket alone is priced at 42.1%, and that span starts 22.5% above the $78 top of the range, by our arithmetic.
The event, “Anthropic IPO Closing Market Cap”, had traded $6.86 million in total, with about $702,000 of liquidity, when we read it through Polymarket’s public data. These are prices for $1 contracts, not probabilities we assign.
Below $1.25 trillion was priced at 23.0%. The $1.25 trillion to $1.5 trillion bracket was 42.1%, $1.5 trillion to $1.75 trillion was 20.0% and $1.75 trillion to $2.0 trillion was 9.4%. Every bracket above $2.0 trillion together came to 4.7%, by our arithmetic.
A smaller companion market, which asks whether the close is above set levels, priced “above $1.5T” at 34.05%, in line with the bracket sum. That market had traded about $114,000. Our 14 November piece on the order book carried the earlier reading.
Polymarket prices for each bracket of Anthropic’s first-day closing market value at 07:07 UTC on 15 November 2026: market data, not a forecast; sums are our arithmetic.
What Those Brackets Mean per Share
The S-1/A gives 13,086,672,593 shares of all five classes outstanding after the offering and the concurrent private placement. On that count, a $1.25 trillion close is $95.52 a share and a $1.5 trillion close is $114.62, by our arithmetic.
Those levels are 22.5% and 47.0% above the $78 top of the filed range. If the underwriters take up their full option, the filing gives 13,210,422,593 shares, and $1.5 trillion falls to $113.55 a share.
The market resolves on market value “calculated as the number of shares outstanding multiplied by the closing share price on the first trading day”. Its rules add: “Resolution will be based on the primary exchange’s official listing page”. The share count that page uses could differ from the filing’s total across five classes.
The Structural Read
As we read the move, traders shifted weight from the upper brackets to the middle one in about 17 hours: at or above $1.5 trillion went from about 48.7% to 34.1% by our arithmetic, while below $1.25 trillion was priced at 23.0%.
As we read the resolution rules, the per-share level that matters depends on the share count the exchange page uses; on the filing’s 13,086,672,593 shares, the modal bracket spans $95.52 to $114.62 a share, by our arithmetic.
Polymarket market rules, Anthropic IPO Closing Market Cap
“Resolution will be based on the primary exchange’s official listing page.”
Three Implications
FOR IPO BUYERS The S-1/A gives a price range of $70 to $78 a share and a Nasdaq listing under the symbol ANT, $916.1 billion to $1,020.8 billion on the filed count by our arithmetic.
FOR TRADERS The main Polymarket event had traded $6.86 million, with about $702,000 of liquidity, when we read it.
FOR THE SHARE COUNT The filing gives 13,210,422,593 shares if the underwriters exercise their full option, which moves a $1.5 trillion close to $113.55 a share by our arithmetic.
The framework says: “AI exhibits genuine bubble characteristics — excessive hype, overvaluation, capex commitments that exceed the unit economics of any single application — at the same time as it exhibits genuine supercycle characteristics — real productivity gains, fundamental restructuring of profit pools, civilizational impact.”
As we read it, a prediction market on a first-day close prices both readings at once; the framework does not discuss Anthropic’s IPO or Polymarket.
What Is Not Established
Prediction-market prices are market data. They move on thin trading and are not a forecast by this publication. We do not know why the prices moved between the two readings, and we did not find a trusted outlet explaining it.
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At 07:07 UTC on 15 November, Polymarket’s main market priced a first-day Anthropic close at or above $1.5 trillion at 34.1%, down from about 48.7% at 13:47 UTC on 14 November, by our arithmetic, with $1.25 trillion to $1.5 trillion the most-priced bracket at 42.1%.
A note on sourcing. Prediction-market prices come from Polymarket’s public market data, read at 07:07 UTC on 15 November 2026; they are market data, not a forecast by this publication. The price range and share counts come from Anthropic’s S-1/A Amendment No. 2 on SEC EDGAR. The 14 November reading is from our earlier piece. Sums, per-share prices and percentages are our arithmetic. Polymarket and Anthropic were not contacted for this piece.
Gennaro Cuofano is a CRO and tech executive who has worked in AI since late 2015, starting with bringing NLP, natural-language generation, voice and chatbot products to the marketing industry. His background is in law and finance: he holds a Master's degree in Law and an International MBA with an emphasis on corporate finance (LUISS Business School and the University of San Diego, 2012), and worked as a financial analyst at a real-estate investment firm in San Diego and as an assistant controller. His work focuses on business model strategy, business engineering and, more broadly, structural analysis: how companies make money, read from their own filings. He created FourWeekMBA and leads research there and at The Business Engineer, his newsletter on AI and business strategy, with over 95,000 subscribers and more than 1,000 published analyses. His writing has also appeared on Entrepreneur (for example, How to Digitize a Family Business in Europe) and HackerNoon. Find him on LinkedIn and Substack. See how we source.
