THE APEX TIMES
With Anthropic setting an IPO range of $70 to $78 per share, one investor estimated the company would trade at roughly 35 to 39 times trailing sales. That yardstick comes in below Palantir’s reported multiple of about 53 times trailing sales, raising questions about how the market values AI and data-software revenue.
Anthropic’s planned IPO has triggered a new round of valuation debate in AI-linked software, after one investor drew a side-by-side comparison between the fledgling chip-to-cloud developer and Palantir Technologies.
Anthropic, which has been preparing to go public, set an IPO price range of $70 to $78 a share. A post circulating on Reddit, relayed through Yahoo Finance, worked those figures into an estimate of the company’s market valuation relative to trailing sales. On that calculation, the implied price points correspond to roughly 35 times to 39 times trailing revenue, depending on where within the range the shares price.
For context, the same investor comparison says Palantir trades at a materially higher sales multiple, about 53 times trailing sales. The post frames the difference as a potential problem for Palantir, suggesting that even with the company’s position in government and commercial data platforms, the market could be pricing its revenue more expensively than an emerging AI infrastructure and application business.
Sales multiple is a basic valuation metric: it divides a company’s market value by its recent revenue level. In this framing, the key question is whether investors are willing to pay more per dollar of revenue for Palantir than they are for Anthropic, even as Anthropic’s business is widely discussed as a central part of the modern AI stack.
The comparison also underscores how quickly market narratives can shift when companies with “AI enablers” reach capital markets. While Anthropic’s IPO range anchors expectations for what investors will pay for its growth profile, Palantir’s much larger implied sales multiple adds to uncertainty about how the market will underwrite software spend, data platforms, and long-cycle deployments for companies whose revenue is tied to enterprise and government buying cycles.
Palantir’s valuation has often been interpreted through the lens of durability and monetization of its data and decision software. Still, the Reddit-based math in the Yahoo Finance report focuses narrowly on trailing sales multiples, which can move with changes in revenue growth, profitability, and the denominator used by investors.
The core limitation is also straightforward: the post does not appear to provide additional evidence beyond the IPO range and the multiple comparisons it derives. It does not explain the precise assumptions behind the trailing sales inputs, nor does it address whether the companies’ revenue mix, margins, or customer contracts are comparable in a way that would justify comparing a single multiple across businesses.
What to watch next is whether broader market commentary aligns with this sales-multiple comparison as Anthropic’s deal approaches pricing, and whether Palantir’s own earnings updates, guidance, or commercial momentum (if disclosed) change how investors justify the gap between its valuation and other AI-linked software names.
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