From Eyeballs to Annual Run Rates (ARR): Buzzy Pricing Metrics and the Anthropic Trade!
I was in San Francisco last week to talk to NYU Stern Alumni on October 15, and it was the day that Anthropic had a pre-IPO meeting with prospective investors. While I was not at the meeting, the focus of teh gathering was laying a foundation for its upcoming IPO, with the company reporting third-quarter revenue of $16.8 billion, which news reports described as surging 45% over the previous…
On October 15, Anthropic convened a pre-IPO meeting with potential investors in San Francisco. The gathering served to establish groundwork for the company's upcoming IPO, unveiling a third-quarter revenue of $16.8 billion, which news outlets reported had surged 45% compared to the preceding quarter's revenues. Additionally, Anthropic announced a positive adjusted profit, albeit on an adjusted basis.
The company also disclosed an annual revenue run rate (ARR) of $67 billion, a figure that industry insiders have embraced enthusiastically, with projections suggesting the ARR could surpass $100 billion by year-end. The utilization of the ARR metric has stirred skepticism among investors, who question the comparability of such figures across time and companies due to varying calculation methods (gross versus net) and differing annualization periods (daily, weekly, or monthly).
Despite sharing some of this skepticism, it is essential to acknowledge that young businesses are frequently evaluated using inventive metrics, some of which possess greater substantiation than others. In the late 1990s, dot.com companies were valued not solely based on the number of visitors to their websites but on "eyeballs," a term coined by Mary Meeker to denote ad spending correlated with the time visitors spent on websites.
In the past decade, social media companies have been valued based on user numbers, while subscription-based companies have been assessed according to subscriber counts. In this article, the author aims to elucidate why pricing often supersedes valuation in young companies and why pricing typically hinges on incognito metrics like eyeballs, users, and ARR, rather than conventional metrics such as earnings, book value, or cash flows.
Young companies, regardless of their size, originate from the corporate life cycle and progress through various stages. To analyze a company, it is crucial to categorize it within the appropriate stage of this life cycle. The three primary methods for doing so are chronological age, industry grouping, and operating metrics. Chronological age involves classifying companies based on their operational duration, with short-lived businesses falling into the young company category and longer-established firms deemed mature.
Industry grouping entails grouping companies based on their industry, assuming that members of a specific group share similar life cycle characteristics. However, this approach can be flawed, as some companies diverge from their industry group and demonstrate growth while others in the same group experience decline. Operating metrics provide insights into the life cycle effects of companies, with young firms typically exhibiting high revenue growth, operating losses, negative free cash flows, and an elevated risk of failure.
The author argues that as companies mature, they transition from high growth, losses, and negative free cash flows to stable revenues, margins, and positive cash flows, signifying a mature business. The author then juxtaposes Anthropic and OpenAI in terms of their operating metrics, noting the astronomical revenue growth and burgeoning losses at both firms.
This data substantiates their classification as young, high-growth companies, albeit with substantial revenues, suggesting accelerated scaling.
Written by urgent.news from Musings on Markets's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
