Robinhood Chain’s 24-Hour App Revenue Surpasses Ethereum and Hyperliquid L1

Robinhood Chain generated $2.66 million in app revenue over a 24-hour period, exceeding revenue recorded by Ethereum and Hyperliquid L1 and reaching nearly six times the figure reported by Base, according to DeFiLlama data cited by @WuBlockchain on X.

The data showed Robinhood Chain with $2.66 million in app revenue, compared with $1.7 million for Hyperliquid L1 and $1.27 million for Ethereum. Base recorded $438,436 over the same period.

A small number of protocols accounted for most of Robinhood Chain’s reported app revenue, with GMGN, Pons and Uniswap generating the largest amounts among the protocols listed in the data.

Robinhood Chain Records $2.66 Million in App Revenue

According to the DeFiLlama figures, Robinhood Chain recorded $2.66 million in app revenue during the 24-hour period covered by the data.

The figure placed the network ahead of several established blockchain ecosystems included in the comparison. Hyperliquid L1 generated $1.7 million in app revenue, while Ethereum recorded $1.27 million.

Robinhood Chain’s reported revenue was also substantially higher than Base, which generated $438,436 during the same period. Based on the figures provided, Robinhood Chain’s app revenue was nearly six times that of Base.

The comparison focuses specifically on app revenue over a 24-hour period and therefore represents activity during that period rather than a longer-term measure of network performance or revenue.

GMGN and Pons Lead Robinhood Chain Revenue

The distribution of revenue within Robinhood Chain was concentrated among several protocols.

GMGN generated $1.11 million in revenue, making it the largest contributor among the protocols identified in the data. Pons followed with $930,587, while Uniswap generated $306,877.

Together, the three protocols accounted for approximately 88% of Robinhood Chain’s total app revenue.

The figures indicate that a relatively small group of applications contributed the majority of the revenue recorded on the chain during the 24-hour period. GMGN and Pons alone accounted for a substantial portion, while Uniswap represented another significant contributor.

The data does not indicate that the same distribution would necessarily persist over a longer period, as app revenue can vary according to transaction activity and user demand.

Robinhood Chain Outpaces Ethereum and Hyperliquid L1

The revenue figures place Robinhood Chain ahead of both Ethereum and Hyperliquid L1 in the specific 24-hour comparison.

Ethereum recorded $1.27 million, less than half of Robinhood Chain’s $2.66 million. Hyperliquid L1 posted $1.7 million, also below Robinhood Chain’s reported total.

Base’s $438,436 was considerably lower, with Robinhood Chain generating nearly six times as much app revenue during the period.

These figures provide a snapshot of application-level revenue across the networks rather than a comprehensive comparison of their overall blockchain economies. Different blockchain ecosystems can have varying numbers of applications, transaction patterns and revenue sources.

Revenue Data Highlights Application Activity

The latest DeFiLlama data underscores the importance of individual protocols in determining blockchain application revenue.

For Robinhood Chain, GMGN, Pons and Uniswap were responsible for approximately 88% of the $2.66 million total. Their combined contribution demonstrates how application activity can have a significant effect on a network’s short-term revenue figures.

According to the information shared by @WuBlockchain, Robinhood Chain’s $2.66 million in 24-hour app revenue exceeded the reported totals for Hyperliquid L1, Ethereum and Base during the same period.

The figures represent a specific 24-hour snapshot and should be cryptocurrency distinguished from longer-term revenue trends, which can change as activity across individual protocols and blockchain networks fluctuates.

Writer: Victoria Hale
Technology & Blockchain Writer

Victoria Hale writes about blockchain technology, digital infrastructure, and the intersection of emerging technologies with finance. Her articles explore how new protocols and systems are shaping the evolving digital economy.

She prioritises clarity and accuracy when explaining technical developments to a general audience.