Market Depth

Kalshi, IBKR and the Rise of Prediction Markets

Explore how IBKR’s rejected Kalshi acquisition offer, rapid funding growth, broker integrations, and federal-state regulatory conflicts signal prediction markets entering mainstream finance.

Kalshi, IBKR and the Rise of Prediction Markets

Industry Signals Behind a Rejected Acquisition: Prediction Markets Move from the Margins to Mainstream Finance

In May 2026,Kalshico-founder Tarek Mansour disclosed in a LinkedIn post that Thomas Peterffy, founder ofIBKR(Interactive Brokers), had made an offer to acquire the platform in 2021 through Sequoia Capital partner Alfred Lin. The news was released shortly after Kalshi completed a USD 1 billion Series F round at a USD 22 billion valuation, prompting the market to revisit a core question: are prediction markets an extension of traditional finance, or a newly evolving asset class in their own right?

Peterffy’s Judgment and Acquisition Logic

Peterffy’s acquisition offer was made around 2021, when Kalshi had just completed a USD 30 million Series A round led by Sequoia Capital and had not yet officially launched trading. Mansour acknowledged in the post that the platform was still in an early-stage condition at the time, while also pointing to Peterffy’s foresight. Alfred Lin had already become a Kalshi board member due to Sequoia’s Series A investment.

From the perspective of Peterffy’s business strategy, the attempt to acquire Kalshi reflected forward-looking judgment about the role of event contracts within a broader financial product matrix. Interactive Brokers’ business model is built on unified access across multiple assets and markets, and event contracts could complement its product gap in non-standardized risk pricing.

From USD 30 Million to a USD 22 Billion Valuation: How Capital’s Pricing Logic for Prediction Markets Has Evolved

After Mansour and Lopes Lara rejected the acquisition, Kalshi pursued an independent financing path, with its valuation rising exponentially through several rounds in less than a year. Behind this growth trajectory is the process by which prediction markets have shifted from a niche experimental product to an institutional-grade asset category.

Comparison of Kalshi and Polymarket Valuations and Institutionalization Progress(As of May 2026)
Comparison DimensionKalshiPolymarketDifference Analysis
Latest ValuationUSD 22 billion(Series F, May 2026)Around USD 15 billion(April 2026 target)Kalshi leads by about 47%
Most Recent Funding AmountUSD 1 billion(led by Coatue)USD 600 million(investment fromICEKalshi’s single-round amount is larger
Core Institutional InvestorsCoatue, Sequoia, a16z, Morgan StanleyICE(parent company of the New York Stock Exchange)Different investor types: VC alliance vs. exchange strategic investment
Regulatory PathCFTC-licensed DCMAcquired QCEX to obtain a CFTC license(July 2025)Kalshi is natively licensed, while Polymarket supplemented its license through acquisition
Institutional Trading Volume Growth800% growth over 6 monthsICE introduces institutions as a data distributorKalshi is driven by direct trading, while Polymarket is driven by data signals

Kalshi’s valuation jumped from USD 2 billion(Series C, June 2025)to USD 22 billion(Series F, May 2026)in less than 12 months, representing an 11-fold increase. According to Bloomberg, its annualized revenue is about USD 1.5 billion, and annualized trading volume has reached USD 178 billion. Rival Polymarket, meanwhile, has relied on ICE’s cumulative USD 2 billion strategic investment(the first USD 1 billion in October 2025 and an additional USD 600 million on March 27, 2026)to embed prediction market data into traditional institutional workflows as structured financial signals.

Strategic Choices for Traditional Brokers: Acquisition or Partnership

Peterffy’s failed attempt to acquire Kalshi in 2021 reflects the strategic dilemma traditional financial institutions face when confronting emerging asset classes. Acquisition means full control over products and users, but also requires bearing regulatory uncertainty. Partnership provides product distribution rights at a lower cost, but at the price of losing differentiated pricing power.

Interactive Brokers’ Partnership Path: A Unified Prediction Market Trading Gateway

Ultimately, Interactive Brokers chose the partnership model on May 14, 2026, launching a unified prediction market trading platform that connects Kalshi,CMEGroup, and its own ForecastEx across three trading venues. The platform allows clients to trade event contracts through the same account and interface alongside stocks, options, forex, futures, cryptocurrencies, and bonds, with the system automatically selecting the best net price for execution. Interactive Brokers CEO Milan Galik described the move as a reshaping of how risk and uncertainty are priced.

Interactive Brokers’ first-quarter 2026 results provided the business foundation for this strategic expansion: revenue of USD 1.68 billion(a record high), 4.859 million client accounts(up 31% year over year), and average daily trades of 4.241 million in April. After the earnings release, BMO Capital raised its IBKR price target to USD 93.

Industry Landscape: Multiple Platforms Race to Integrate Prediction Markets

Interactive Brokers is not an isolated case. Multiple financial institutions have entered prediction markets through different paths:

  • Robinhood offers Kalshi-based event contract trading to retail clients.

  • FOREX.com under StoneX partnered with Kalshi to provide U.S. election-related event contracts to clients.

  • Tradeweb Markets took a strategic investment and minority equity stake in Kalshi, with plans to integrate event contract data into its rates and credit derivatives infrastructure.

  • ICE has invested a cumulative USD 2 billion in Polymarket and launched its Polymarket Signals and Sentiment product in February 2026, distributing prediction market probability data to institutional investors as structured signals.

The commercial expansion of prediction markets is running into jurisdictional conflict between the U.S. federal government and state governments. More than 90% of trading activity on Kalshi is related to sports events, and 89% of revenue comes from sports event contracts, putting the platform directly against the red line of state gambling laws.

Legal Confrontation Between Enforcement Actions in 11 States and Federal Counterclaims

As of May 2026, legal actions surrounding prediction markets showed the following pattern:

  1. A total of 11 states had initiated legal proceedings against prediction market platforms, accusing them of operating unlicensed sports betting businesses.

  2. The CFTC and the U.S. Department of Justice filed lawsuits against Arizona, Connecticut, and Illinois on April 2, 2026, arguing that the Commodity Exchange Act grants the CFTC exclusive jurisdiction over event contracts.

  3. Federal court rulings have diverged: on February 19, 2026, a federal court in Tennessee sided with Kalshi, finding that sports event contracts may constitute swaps; meanwhile, a Massachusetts court ruled in January 2026 that Kalshi’s sports contracts were subject to state gambling laws.

  4. The U.S. Court of Appeals for the Third Circuit ruled that New Jersey could not enforce gambling laws against prediction markets. Several legal analysts believe that conflicts among federal circuit courts may ultimately push the dispute to the Supreme Court.

Divisions have also emerged in Congress. Some Democratic lawmakers introduced a legislative proposal in April 2026 to ban prediction market betting involving elections, war, and sports.NFLChief Compliance Officer Sabrina Perel also sent letters to prediction market operators, demanding that they block sports event contracts deemed "objectionable".

Potential Impact of Regulatory Direction on Industry Valuations

The outcome of the jurisdictional battle between federal and state authorities will directly affect the sustainability of prediction market platforms’ business models. If exclusive federal jurisdiction is confirmed, Kalshi and Polymarket could operate uniformly across the United States without state-by-state compliance. If states retain independent enforcement authority, platform operating costs would rise sharply, and some markets could even face shutdowns. In a 2025 report, industry research firm Certuity estimated that the total prediction market size could reach USD 95.5 billion by 2035, with a compound annual growth rate of about 46.8%, but that forecast implicitly assumes the establishment of a unified regulatory framework.

FAQs About the Future of Prediction Markets

What were the main drivers behind Kalshi’s valuation growing from USD 2 billion to USD 22 billion in less than a year?

The key drivers included 800% growth in institutional trading volume over six months, annualized trading volume reaching USD 178 billion, and annualized revenue of about USD 1.5 billion. In addition, prediction markets gained sharply greater public attention during the 2024 U.S. election, and the CFTC’s withdrawal of its appeal over election contracts also served as a catalyst for the valuation surge.

What are the pros and cons of Interactive Brokers choosing partnership rather than acquiring Kalshi?

The partnership model allows Interactive Brokers to quickly access prediction market products at a lower cost while maintaining a neutral aggregation position across platforms(Kalshi, CME, and ForecastEx). The downside is that IBKR cannot control Kalshi’s product design, pricing strategy, or regulatory response, leaving it without an exclusive competitive advantage in the growing event contract space.

What is the fundamental difference between Kalshi and Polymarket in their institutionalization paths?

Kalshi provides trading services directly to institutions as a federally licensed exchange and expands distribution channels through partnerships with brokers such as IBKR and Robinhood. Polymarket, by contrast, has chosen deep alignment with ICE(the parent company of the New York Stock Exchange), turning prediction market data into structured signal products and focusing more on information services than direct trading access. The two represent different paths: the "exchange model" and the "data infrastructure model".

What does the federal-state regulatory conflict mean for the prediction market industry?

The core issue in this conflict is the legal classification of event contracts—whether they are federally regulated derivatives or gambling products under state jurisdiction. If exclusive federal jurisdiction is confirmed, prediction markets will obtain a unified legal framework similar to futures markets. If state authority prevails, platforms will face compliance requirements across 50 different jurisdictions, and operating costs and legal risks will rise sharply. Several legal analysts believe this dispute is likely to be ultimately decided by the Supreme Court.