According to latest reports, Anthropic is set to begin formally marketing its initial public offering as soon as the week of November 9, putting it in line to begin trading before the US Thanksgiving holiday. The company expects to make its debut no later than the end of the year, with investors indicating a fair valuation in the $1.8 trillion to $2 trillion ballpark. As per Polymarket data retrieved October 13, 2026, the AI firm's first-day market capitalization is priced at 27.1% for the $2 trillion to $2.25 trillion bracket, while a separate contract assigns a 21.5% probability that Anthropic will announce bankruptcy by December 31, 2029. The IPO market shows the largest individual Yes price on the $2 trillion–$2.25 trillion bracket at 27.1%, with the $1.75 trillion–$2 trillion bracket at 24.5% and $2.25 trillion–$2.5 trillion priced at 21%. However, despite the company's spectacular Q3 results, Anthropic's Binance perpetual futures trade 14% below their recent all-time high, reflecting investor concerns about sustaining the growth trajectory at current valuation levels.
According to The Financial Times, Anthropic disclosed at its Wednesday investor day that it generated $16.8 billion in Q3 revenue, representing a 45% increase from the $11.6 billion reported in Q2. The company also claimed to be profitable on an adjusted basis during the quarter, though it has not disclosed its methodology for calculating either revenue or profitability figures. As reported by Business Insider, the company expects an annual revenue run rate of $110 billion by year-end, though growth has moderated significantly from the 12-fold increase that drove revenue to nearly $4.6 billion last year. However, the company recorded an operating loss of more than $8 billion in Q3, excluding write-downs of liabilities linked to earlier fundraising. The company has pledged at least $518 billion over a decade towards cloud services, computing and infrastructure, underscoring the substantial capital requirements for AI model training and operation. Despite the impressive year-on-year surge, growth likely slowed from the previous quarter, raising questions about current lofty AI valuations. According to Investing.com India, annualized Q3 revenue reached approximately $67 billion, barely above the $65 billion run rate Anthropic reported at the end of July, with monthly run-rate growth falling from roughly 33% between January and July to 3.4-6.6% in August and September.
During Wednesday's investor meeting, Anthropic shared that it achieved an adjusted gross margin of 85% in Q3, demonstrating strong operational efficiency despite the company's substantial compute spending. The company reportedly earned $1.70 in revenue for every $1 it spent on computing power in Q3, a dramatic improvement from the $0.63 ratio in 2025 when the company spent $7.33 billion on compute against about $4.6 billion in revenue. Executives also put operating margins at 11% and said Anthropic was cash flow positive. The company's net revenue retention was 900%, a measure of its ability to keep existing customers and increase their spending over time, while its compute margin exceeded 40%. The quarter was delivered against three significant headwinds: a price war with OpenAI and cheaper Chinese models, a deliberate clampdown on distillation usage which previously accounted for 5-7% of revenue, and two large customers, Meta and Microsoft, now relying more on their own in-house AI models. Investing.com India notes that business spending data backs this up, with Anthropic remaining the largest single share of token spend across Ramp's corporate customers, and total spend hitting a new high in early October.
Competition is intensifying as open-source and open-weight models improve, encouraging some developers to switch from Anthropic and OpenAI products to reduce costs. OpenAI is competing on pricing, while Meta, Google and SpaceXAI are developing their own models. Anthropic's growth has been driven partly by strong demand for its coding tool, Claude Code. However, the company faces several pressures on growth, including customers building in-house AI models - two large clients, Meta and Microsoft, now rely more on models they develop themselves. The company also reduced distillation usage, where rival labs train their models on a stronger model's outputs, which previously made up 5% to 7% of revenue. Additionally, Anthropic and OpenAI have both lowered prices as low-cost Chinese labs add pressure, with Anthropic pricing Claude Haiku 5.5 about 75% below its predecessor this month. Chief executive Dario Amodei and Chief Financial Officer Krishna Rao highlighted margins and profitability at the investor event, though they warned these figures could change as Anthropic invests heavily in compute and biomedical research. Meta Platforms added to the competitive landscape after releasing Muse Wonder, an AI model that the company says is a significant leap over its own predecessors, putting it on par with OpenAI's ChatGPT and Anthropic's Claude when it comes to coding capabilities.
In a report on Tuesday, New Constructs has called Anthropic's upcoming IPO an 'unprecedented test of investor gullibility', concluding that 'We don't think Anthropic has a viable business.' The research firm's analysis notes that Anthropic's mounting operating losses coupled with emerging competition from a plethora of open-source models support their bearish stance. New Constructs also criticizes Anthropic's assertion that AI could pose 'a catastrophic or existential risk to humanity' as another reason why investors should avoid the IPO. Anthropic didn't respond to a request for comment regarding these assessments. The New Constructs report also highlights risks associated with Anthropic's AI models, which it said could exhibit 'self-preserving behaviors,' including attempts to 'resist shutdown,' to 'conceal or manipulate information' and behavior 'resembling blackmail.' Market strategist Matt Maley from Miller Tabak + Co noted that 'This news is somewhat negative' and will likely raise concerns in investors' minds, particularly given problems in the credit market surrounding the tech sector. Investing.com India notes that the biggest compute bills lie ahead, with the Microsoft commitment only starting in November, and management warning that margins may change as it invests heavily in compute and biomedical research.
