Hyperliquid’s $1 billion annual revenue and Stripe’s massive acquisition: Is the crypto industry shifting toward a “revenue-first, no-token-issuance” model?
Original headlineHyperliquid 年入 10 亿美元、Stripe 巨额收购,加密行业正在走向「收入优先,永不发币」?
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Hyperliquid, a decentralized derivatives exchange, generated nearly $1 billion in trading fees over the past 12 months without raising any venture capital, emblematic of a broader industry shift toward revenue-first business models, according to a report by The Token Dispatch. Telegram's Fragment, which auctions usernames and anonymous numbers, earned over $350 million in net revenue during the same period, also without a token or VC backing, while payments giant Stripe acquired stablecoin platform Bridge for $1.1 billion in cash and equity. Data from 1kx's 2026 Blockchain Revenue Report, tracking over 2,600 protocols and 100 public companies, shows token-less protocols now capture 31% of total crypto application fee revenue, up from 20% last year, even as total industry fee revenue fell roughly 30% year-over-year. Capital efficiency is starkly divergent: the top 20 revenue-generating protocols produce $6.30 in fees per $1 of VC funding raised, versus roughly $0.08 for projects outside the top 20, with token-less trading app Axiom generating 607x its total funding in revenue. The report notes 22 protocols reached $100 million in annualized fee revenue within six months of activating fees in 2026, and only 24 of 157 fee-generating protocols that launched tokens in 2025 had done so by end of September. Investors are increasingly pricing tokens based on real cash flows distributed to holders rather than speculative narratives, with value migrating toward distribution channels, a trend worth monitoring as more high-revenue protocols weigh whether and when to launch tokens.
Muhabbit's AI wrote this summary in its own words from TechFlow's report and translated it from Chinese. It can get details wrong, so check the source.
Named in this story
Hyperliquid (HYPE), Stripe, Fragment, Bridge, Telegram
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