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Hyperliquid generates $713M in revenue over past year

Hyperliquid generates $713M in revenue over past year

hyperliquid coin

The self-funded perpetuals exchange is leaning on trading fees today while founder Jeff Yan eyes tokenized assets for tomorrow

Hyperliquid pulled in approximately $713 million in revenue over the last twelve months, as of early November 2026.

That is a striking number for a decentralized exchange that never took a dollar of outside venture money. Founder Jeff Yan already has his eye on what comes next: tokenized assets.

Yan has framed tokenized real-world assets as a potential opportunity. He has singled out high-quality markets, particularly large-cap equities, as the place to look.

Where the money comes from

Hyperliquid is a decentralized perpetual futures exchange. It runs on its own Layer-1 blockchain rather than borrowing someone else’s.

Those trades generate fees, and fees are the bulk of Hyperliquid’s revenue. The ~$713 million figure comes largely from perpetual futures trading.

The monthly picture has been anything but smooth. Over 2026, monthly revenue has swung between $38 million and $74 million.

More recently, things have settled into a higher band. Thirty-day revenue has landed between roughly $65 million and roughly $74 million, which works out to daily averages close to $2.2 million.

Annualize that recent pace and the run rate could reach $700 million to $800 million. Where it lands in that range depends on which window you measure.

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What happens to the fees

The platform routes most eligible trading fees to something called the Assistance Fund. That fund uses the money to buy back HYPE, Hyperliquid’s native token, and burn it.

There is a wrinkle, though. Volume from third-party markets built under the HIP-3 program has risen significantly.

HIP-3 lets outside builders launch their own markets on Hyperliquid’s infrastructure. That expands what users can trade without the core team having to list everything itself.

The catch is that growth in third-party markets could shrink the share of revenue the core platform keeps. More activity overall does not automatically mean more money for the Assistance Fund.

The tokenized equity push

Yan’s interest in tokenized assets is not purely theoretical. Hyperliquid’s tokenized stock and ETF markets began trading in October 2026.

The lineup includes names like Nvidia, Tesla, and Apple. Those assets trade against USDC, the dollar-pegged stablecoin.

Yan’s emphasis on large-cap equities is telling. These are deep, liquid, heavily watched markets rather than obscure corners of finance.

Built without outside money

Hyperliquid’s funding history sets it apart. The project has operated without external venture funding since its inception in 2023.

Instead, the launch was financed with trading profits generated by the founders. In a sector where token projects routinely raise large rounds before shipping a product, that is an unusual path.

The absence of venture backers also changes the incentive math. There is no cap table of investors waiting on an exit, which partly explains why fee revenue can flow so directly into HYPE buybacks.

What this means

For HYPE holders, the core question is whether the fee engine keeps running at its recent pace. The buyback-and-burn model ties token demand closely to trading volume, which cuts both ways.

The swing from $38 million to $74 million in monthly revenue this year shows how quickly activity can shift. A quieter market would mean a smaller Assistance Fund, and fewer buybacks.

The HIP-3 dynamic is the second thing to watch. If third-party markets keep growing faster than Hyperliquid’s own, the platform’s retained revenue share may decline even as headline volume rises.

The tokenized equity markets are the longer-term bet. If Yan’s thesis on high-quality assets plays out, Hyperliquid could pull in traders who care more about Nvidia than about memecoins.

The flip side is that tokenized stocks put Hyperliquid closer to territory traditionally overseen by securities regulators.

Disclosure: This article was edited by John Chen. For more information on how we create and review content, see our Editorial Policy.

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