A New Lens on Crypto: Applying Equity Valuation Logic to Digital Assets

In a notable shift from typical crypto market analysis, Grayscale Research released a dedicated report on Tuesday focusing on the native trading protocol Hyperliquid and its HYPE token. The analysis moves beyond narrative-driven valuation, applying a discounted cash flow model more commonly seen in traditional finance.

Uncovering Value Through an "Earnings Per Token" Model

The report's core framework, developed by Research Head Zach Pandl, adapts the stock market concept of Earnings Per Share (EPS) to create an "Earnings Per Token" model for HYPE. This approach rests on several key projections:

  • Revenue Growth Drivers: By 2027, annual protocol earnings are projected to reach approximately $1 billion, fueled by a recovery in overall crypto trading volume and increased yield from Hyperliquid's stablecoin reserves.
  • Supply-Side Calculations: The circulating supply of HYPE is estimated to be between 270 million and 310 million tokens by the end of 2027. Combined with the earnings forecast, this implies an expected earnings per token of $3.25 to $3.75.

The Price-to-Earnings Gap

At HYPE's current price of around $54, this translates to a forward price-to-earnings (P/E) ratio of roughly 15x to 18x. The report highlights that this range sits significantly below the valuation multiples typically assigned to comparable publicly-traded FinTech companies. If judged by the same profitability metrics, Hyperliquid appears to be trading at a discount.

Divergence Between Market Performance and Modeled Value

The timing of this valuation report adds an interesting layer of context. Over the past month, HYPE's price action has diverged from the broader market, declining over 13% and sitting approximately 29% below its all-time high set in mid-June. This period of price pressure stands in contrast to the "undervalued" signal from Grayscale's model.

Key Risks to the Valuation Thesis

While presenting a constructive outlook, the report is careful to outline two primary risks that could undermine its assumptions:

  • Protocol revenue growth falling short of projections, which would erode the earnings foundation.
  • Token supply increasing at a faster rate than forecast, diluting earnings per token and raising the P/E ratio.

The materialization of either risk would necessitate a downward revision of the current valuation logic.

The significance of this report may extend beyond pricing a single token. It represents an attempt to bridge analytical frameworks, applying rigorous, fundamentals-based quantification to crypto assets. Whether such models can serve as a reliable compass for value discovery amidst market sentiment swings remains to be seen.