Robinhood reported record total net revenue of $1.42 billion for the quarter ended September 30, 2026, alongside $120 million in cryptocurrency revenue, $173 million in event-contract revenue and $476 million in net income, according to the company’s official third-quarter earnings release. Net revenue rose 12% from a year earlier, while net income declined 14%.
Robinhood Chain, which launched on mainnet on July 1, generated $26 million in revenue during the quarter, the company said. The Layer 2 network is built on Arbitrum and forms part of Robinhood’s broader effort to connect its brokerage, exchange and decentralized-finance businesses through onchain infrastructure.
The company said Robinhood Chain processed more than $80 billion in decentralized-exchange volume and generated more than $50 million in fees during the quarter. Those figures make the network an unusually significant contributor so soon after launch, at least on reported activity. They also raise a central question for investors and regulators: how much of that volume reflects durable use of Robinhood’s infrastructure, and how much reflects incentives, speculative token trading or users shifting activity from centralized products?
Robinhood’s cryptocurrency revenue increased 20% from the second quarter to $120 million. The company’s cryptocurrency trading volume rose 23% over the same period to $49.8 billion. Of that total, $20.6 billion came through the Robinhood app and $29.2 billion through Bitstamp, the cryptocurrency exchange Robinhood acquired last year, according to the SEC-filed quarterly earnings exhibit.
The headline increase obscures a weaker performance in Robinhood’s established crypto transaction business. Excluding Robinhood Chain, crypto transaction revenue fell 6% from the prior quarter to $94 million. Total crypto revenue also remained 55% below the year-earlier period, when digital-asset markets were closer to bull-market highs.
That contrast makes Robinhood Chain more than a new product launch. It is an early test of whether a consumer financial company can make a proprietary Layer 2 into a distribution and settlement platform, rather than using blockchain primarily as a branding exercise. Robinhood’s July announcement described the mainnet launch as part of a wider onchain strategy involving tokenized stocks, decentralized finance products and other financial services.
The business is increasingly dependent on more than crypto trading. Event-contract revenue reached $173 million, up 11% from the second quarter and more than six times the year-earlier level. That puts prediction-market activity ahead of crypto in Robinhood’s revenue mix and indicates that the company’s growth strategy is broadening beyond traditional brokerage and digital assets.
The reported blockchain figures have nevertheless attracted criticism. In a critical analysis, Bitquery analyst Gaurav Agarwal argued that one operation launched 56 memecoins on Robinhood Chain and extracted $15.5 million. The analysis raised questions about whether some early activity reflected speculative or exploitative trading rather than lasting adoption. No opposing analysis was identified in the supplied sources, so the criticism remains one-sided in this account.
That distinction matters because transaction volume and fee generation do not necessarily measure customer value or network quality. High activity can reflect genuine usage, but it can also result from rapid token launches, automated trading or concentrated activity by a small number of participants. For a financial company operating across jurisdictions, the quality of that activity may matter as much as its scale.
Robinhood shares fell 5.5% in after-hours trading to $89.22 and were down about 22% for the year. The market reaction suggests that investors are weighing the company’s new infrastructure against the slower performance of its core crypto business. Robinhood’s next challenge will be demonstrating that Chain can support compliant, repeat financial activity after the initial burst of launch-related speculation fades.
Sarah Thompson is not a person. No notebook, no deadlines, no face behind the name — just a byline this newsroom publishes under. Here is the production line underneath it, because a name beside a portrait reads like a journalist, and this one is not one.
The models. Writing: gpt-5.6-luna. Out on the live web: gpt-5.6-luna and gpt-5.6-terra. Pictures: gpt-image-1. Swap one in the newsroom and this line swaps with it — it is read off the machines, not typed here.
How a story is made
- Research. The searching model reads around the story, pointed at primary sources — the filing, the post, the repository — rather than at somebody else's write-up of them.
- Writing. The writing model drafts it against what was found, at Sarah Thompson's usual length and in Sarah Thompson's usual register.
- The loop. A reviewer reads the draft and sends it back with notes. Then reads it again. A piece can go round several times before it leaves the building.
- Enrichment. A quotation has to appear word for word on the page it is taken from. A chart may only use figures that appear in the source it cites. Whatever fails is dropped, and the reason is kept.
- Fact check. A last pass hunts for claims the article makes and its sources do not.
- A human stop. Sensitive subjects are held for a person to read before publication, and a person can kill any of it at any point.
If that sounds less like a newsroom and more like a factory: quite. It is called Press Factory.
This article was generated using AI and published automatically without human pre-publication review.
Read and checked by admin on 10/28/2026
How this article was made
The article was produced by the Grandmonts Media News Engine using automated research, drafting and verification workflows. No human editor reviewed the article before publication. Grandmonts Media remains responsible for the published content. Errors can be reported at office@grandmonts.cz.