Highest grossing movie in 2026?

According to the latest prediction market data for the query “Highest grossing movie in 2026?”, traders have formed a strong consensus.

Currently, Spider-Man: Brand New Day is dominating the market with an overwhelming 73% chance of winning. Avengers: Doomsday follows in second place at 11.5%, while Toy Story 5 sits in third with 5.6%. The betting volume for this specific market has already reached $13.8M, reflecting intense industry interest.

To better assess where each potential outcome stands, the market can be segmented into three distinct trading tiers based on implied probability and contract pricing:

🥇 Tier 1: The Dominant Leader

• Spider-Man: Brand New Day (73%): Currently commanding the highest probability, Spider-Man: Brand New Day is heavily favored by the order book. Traders looking to back this outcome face a “Buy Yes” contract price of 73¢, signaling a high degree of market conviction. This contract alone has generated $369.5K in volume.

🥈 Tier 2: The Primary Challengers

• Avengers: Doomsday (11.5%): Positioned as the most viable alternative, Avengers: Doomsday maintains a 11.5% chance of resolving true. Its “Buy Yes” shares currently trade at 12¢.
• Toy Story 5 (5.6%): Sitting in third place with a 5.6% probability, the market shows measured skepticism toward Toy Story 5, treating it as an outside wildcard unless momentum shifts.

🥉 Tier 3: The Long-Tail Options (Combining for ~9.9%)

Beyond the top three choices, a wide field of macro variables and long-shot outcomes are being tracked. While their individual probabilities hover low, they represent crucial hedges for speculative traders:

• Alternative Options: This includes The Super Mario Galaxy Movie (4.5%), The Odyssey (1.8%), and Wicked: For Good (0.4%).
• Speculative Volume: Despite low statistical likelihood, certain long-tail contracts like Wuthering Heights are still attracting notable interest.

This market will resolve according to the title of the film with the highest 2026 gross according to the "Gross" column on https://www.boxofficemojo.com/year/2026/?grossesOption=calendarGrosses once data for December 31 is made available.

Note: This market is about the movie's domestic calendar gross in 2026 - dates outside of 2026 will not count toward this movie's gross.

In the event of an exact tie the film that comes first alphabetically will be considered the winner.

If there is no final data available by January 7, 2027, 11:59 PM ET, another credible resolution source will be chosen.

While human consensus and speculative volume shape the broader prediction market, our quantitative algorithms offer a data-driven counter-perspective. By analyzing fundamental signals, underlying trends and historical distributions, our AI Valuation model calculates an independent “Fair Value” probability for each outcome.

Comparing this Fair Value against the current Trade Value uncovers major disparities — known as the Expected Value (EV) Gap. Contracts with a positive EV Gap represent statistically underpriced outcomes, whereas a negative EV Gap flags a potential market overreaction.

Top AI Alpha & Mispriced Arbitrage Opportunities

Based on the latest data model run, several key contracts stand out with significant deviations:

• The Most Overvalued Outcome Spider-Man: Brand New Day currently trades at 73%, but our AI places its Fair Value at just 59.8%. This creates a large negative EV Gap of -13.2%, suggesting the crowd may be overhyping this outcome and driving the premium too high.
• The Best Value Play (Highest EV) Our model identifies Wuthering Heights as the premium value opportunity on the board. While the market only assigns it a 0.4% trading probability, our AI’s Fair Value assessment sits at 20.6% — yielding an impressive +20.2% EV Gap.
• Under-the-Radar Dark Horses Other notable discrepancies include Wicked: For Good (EV Gap: +9.5%) and The Hunger Games: Sunrise on the Reaping (EV Gap: +8.3%). These long-tail opportunities are heavily discounted by the live order books despite stronger statistical backing from our predictive model.