Author: Hash Global
Priced at a $15.5 billion implied valuation and sold out within minutes, Polymarket’s on-chain Pre-IPO debut has turned the prediction market platform itself into a tradable asset. The first project in the Binance and PancakeSwap initiative was Polymarket, listed as pPOLY.
The pPOLY offering was priced at $15.5 per token, implying a valuation of about $15.5 billion. Roughly half a month earlier, Polymarket had completed a $1 billion financing at a post-money valuation of about $21 billion. Kalshi offers another benchmark: the company said in May that it had raised funds at a $22 billion valuation, and a recent Pitchbook report pushed that estimate to roughly $30 billion.
Those numbers provide a new frame for thinking about the value of prediction markets. If two of the sector’s best-known companies are already being priced in the tens of billions of dollars, the same question naturally extends to Robinhood, often described as the first publicly listed prediction-market stock.
With prediction markets back in focus, the article revisits a broader issue: how this category is changing Robinhood, and where it could take the company next.
Robinhood’s prediction market business is no longer a side project
For many market participants, Robinhood’s prediction market operation may still look like a new business line, or simply a user gateway for Kalshi.
That description fit the early stage. Robinhood mainly acted as a distribution channel, while underlying markets were supplied by third parties such as Kalshi. Robinhood brought the product to users and earned front-end brokerage commissions. The contribution was limited enough that in Robinhood’s 2025 annual report, prediction markets were not disclosed as a standalone revenue line and were instead included under “other transaction-based revenues.”
This year, though, two things changed.
From distribution layer to infrastructure layer
Robinhood is no longer only a distribution layer. In January 2026, the company completed its acquisition of MIAXdx, a CFTC-regulated trading and clearing venue. It was renamed Rothera and went live in June, becoming one of the core pieces of infrastructure supporting Robinhood’s prediction market stack. That marks a move upstream into infrastructure.
Event contracts have become a meaningful revenue line
Prediction markets are now large enough to matter inside Robinhood’s business mix. In Q2 2026, Robinhood generated $156 million in event-contract trading revenue, up more than 10x year over year. That was higher than stock trading revenue of $129 million and crypto trading revenue of $100 million in the same quarter.
The comparison becomes sharper when placed next to an independent platform. According to DeFiLlama, Polymarket’s Q2 2026 gross protocol revenue was about $150 million. In other words, Robinhood’s prediction market business is no longer a fringe product. Even while much of the underlying trading is still supplied by third parties, Robinhood has already generated revenue on a scale close to a leading standalone platform by controlling user access and distribution.
The market may still be in its early innings. On the Q2 earnings call, Robinhood management said nearly 2 million users had used Prediction Market products. During the same period, the company had 28.4 million funded accounts. That suggests a market opportunity that could still be more than 10 times larger within Robinhood’s own user base, with little additional customer-acquisition cost.
When distribution starts moving upstream
In valuation debates around both Polymarket and Kalshi, one concern keeps resurfacing: whether a durable moat can be built on the distribution side.
That concern comes from the structure of the category itself. The upstream supply of assets, meaning event contracts, is not scarce. Products are relatively similar, and switching costs for users are low. In that setting, the key contest is the ability to keep acquiring users. Bernstein captured that point directly in one of its reports: 「Distribution is the definitive competitive moat.」
That is exactly where a platform player like Robinhood has an edge. A standalone prediction market has to build products and a distribution network at the same time. Robinhood entered with users, accounts, and funding relationships already in place.
The early partnership with Kalshi illustrated the point. Bernstein estimated that in October 2025, Robinhood’s trading volume was equal to about 57% of Kalshi’s activity for that month. It is a delicate relationship. At first, the channel helps the upstream venue expand the market. But as more orders come through the same front end, bargaining power can begin to shift toward the distributor.
That pattern is familiar across the internet industry. Once a channel controls enough users and traffic, it often stops being satisfied with only channel economics. Robinhood is now taking the next step and moving further upstream.
Distribution determines breadth: how many users and orders a platform can bring in. The next question is depth: how much value from each trade can remain inside the platform. That is where Rothera matters. In the past, Robinhood mainly earned front-end brokerage commissions, while exchange and clearing revenue went to third parties. Now, some orders are beginning to be handled by Rothera, giving Robinhood a path to capture part of that upstream revenue as well. In Q2, Rothera processed about 2.1 billion contracts and contributed about $17 million in revenue.
This is Robinhood’s upstream push inside prediction markets. It may look like a late entrant, but it did not start from zero. It entered the field already holding assets that other players are still trying to build.
Distribution determines how much trading Robinhood can bring in. Infrastructure determines how much of that value it can keep. The company is moving from controlling only the first to controlling both.
One market, three different businesses
To understand Robinhood’s prediction market strategy more clearly, it helps to compare it with Polymarket and Kalshi. All three operate in prediction markets, but they are building very different businesses.
| Company | Strategic position | Core strengths | Business model | Main challenge | Long-term value retained |
|---|---|---|---|---|---|
| Polymarket | Global event-trading and probability-information platform | Global attention, event coverage, probability data, and information distribution | Trading fees and broader data monetization | Turning attention into sustained trading and data revenue | Information and probability data |
| Kalshi | Regulated derivatives exchange and market infrastructure | Compliance infrastructure, liquidity, and distribution network | Exchange fees and supplying underlying markets to other platforms | Keeping order flow as channels expand, while managing concentration risk in sports | Liquidity and market infrastructure |
| Robinhood | Integrated financial platform and entry point for long-term customer relationships | Existing financial users, account system, and cross-product monetization | Brokerage commissions, revenue from proprietary markets, and other financial-product revenue | Converting prediction-market acquisition into repeat usage, asset retention, and long-term customer value | Customer relationships and financial assets |
Polymarket’s ambition now extends beyond being a trading venue. Around global events, it is becoming a market that combines trading, probability pricing, and information distribution. This year, Intercontinental Exchange, the parent company of the New York Stock Exchange, launched an institutional data product based on Polymarket, turning probabilities formed through trading into market signals that financial institutions can use. That opens a path beyond transaction fees.
Kalshi looks more like an exchange story. It has built its own trading and clearing infrastructure within the U.S. regulatory framework and has expanded order flow through channels such as Robinhood. At the same time, it is broadening the range of tradable products. For a market-infrastructure provider, the long-term moat has to come from product breadth, liquidity, and trading conditions. As partners like Robinhood begin building their own exchanges, Kalshi has to answer a harder question: if channels have more options, why should order flow stay with Kalshi?
Robinhood is aiming at something else.
It does not need Prediction Market to stand alone as a fully separate business, and it does not need every trade to run through Rothera. In fact, even after Rothera went live, Robinhood continued integrating more third-party markets.
What it wants to control is the relationship between users and financial services. Wherever a new trading need comes from, Robinhood wants that need to be met inside its own interface.
The lines between these businesses may overlap, but the long-term value they are trying to retain is not identical. The same trade can produce information valuable to media outlets and institutions in Polymarket’s case, more liquidity and exchange revenue in Kalshi’s case, and the start of a longer financial relationship in Robinhood’s case.
That is why the real question in comparing the three is not only trading volume or market share. It is where the value created by those trades ultimately stays.
For Robinhood in particular, the more important issue is whether users acquired through prediction markets remain inside the broader Robinhood system. A trade may be the reason a user walks in, but it may not be the full reason Robinhood wants that user to stay.
Trading brings users in, wealth is the longer business
Robinhood’s expectations for prediction markets clearly go beyond adding another transaction-revenue line.
In an interview this September, Vlad described prediction markets as a highly effective top-of-funnel driver for Robinhood. A user may first download the app because of an event contract, then start trading stocks, and later open a retirement account. By contrast, long-duration financial products such as retirement accounts matter a great deal, but they are rarely enough on their own to persuade younger users to install an app.
That makes the role of trading businesses larger than the revenue they generate directly.
A young user may begin with an interest in stocks, crypto, or a World Cup match. As age and wealth increase, financial needs change as well. Trading, saving, asset allocation, retirement planning, and broader wealth management can all become relevant over time. Robinhood wants those needs to remain inside its own ecosystem as they evolve.
In the same interview, Vlad also referred to more than $100 trillion in intergenerational wealth transfer expected in the United States over the coming decades. As wealth shifts from older generations to younger ones, Robinhood’s opportunity is no longer limited to serving trading demand from younger users. It also includes capturing the larger asset base they may accumulate later.
Seen that way, prediction markets are a new growth curve. The more important question is whether they can become the starting point for the next cohort of long-term customers. Trading gets people through the door. Long-term value depends on how many of them choose to keep their wealth there.
From distribution to market creation
Viewed through that lens, Robinhood’s product strategy becomes easier to read. The company keeps expanding its product shelf while also extending into the infrastructure beneath it.
From stocks, options, and crypto to prediction markets and tokenized stocks, Robinhood wants to meet a wider range of trading demand. From Rothera to Robinhood Chain, it is also building out the underlying capacity needed to support those products.
Still, Robinhood is not insisting on building every piece of infrastructure itself. Even with Rothera in place, it continues to work with Kalshi and ForecastEx, and in September it integrated trading and clearing infrastructure from OG.com, which is owned by Crypto.com.
Vlad described the approach in simple terms: Robinhood wants to aggregate products from different exchanges into a single front end, giving users more choice without requiring them to care about which venue is carrying the trade underneath.
That means the company is trying to control more than distribution, and more than one specific infrastructure stack. It is building a more flexible market-organization capability: start with what users want, then decide which product to offer, which infrastructure to connect, and how to deliver it.
In that sense, there is a loose parallel with Binance listing pPOLY. One side turns events and probabilities into event contracts. The other packages an unlisted prediction-market company into a Pre-IPO token. Both are attempts to convert new demand into tradable products quickly.
For Robinhood, though, the use case runs further. The goal is not simply to let users trade more things. It is to make sure that new financial needs arising at different stages of a user’s life can be met on the same platform. Today that may be prediction markets. Tomorrow it could be retirement accounts, asset management, or financial products that do not yet exist.
That is why the more revealing test for a financial super app may not be how many SKUs sit on the shelf. It may be whether the platform can keep meeting new financial needs and turn them into long-term customer and asset relationships.
From short-term attention to long-term value
That brings the discussion back to the opening question: if Polymarket is worth $20 billion, what does that imply for Robinhood?
The lesson prediction markets offer Robinhood may be more than a fresh valuation reference. It may force a broader rethink of what a financial platform is really worth accumulating.
Prediction markets are a business built around short-term attention. Users arrive for an election, a match, or a headline event. The contract settles, and attention moves on.
Robinhood is trying to build a business around long-term value. It wants each short-lived trade to become the starting point of a more durable financial relationship.
Making everything tradable is one kind of capability. Turning fleeting attention into wealth relationships that last over time may be the larger ambition.