TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 29, 6:21 PM EST
Kalshi
These markets track whether Starbucks Corporation representatives mention specific words or phrases during their earnings call scheduled for July 29, 2026. Each market resolves to Yes if the corresponding term is spoken by any company representative during the call's prepared remarks or question-and-answer session.
Each market resolves to Yes if the specified term is mentioned by any Starbucks Corporation representative during the July 29, 2026 earnings call, including both prepared remarks and the Q&A session. The exact phrase or word must be used, including plural or possessive forms, though grammatical and tense inflections are not required. Resolution will be determined primarily through video of the earnings call; if Kalshi employees cannot reach consensus using video, transcripts from news publications will be consulted as the secondary source. The tracked terms span operational metrics (Comparable Sales), business initiatives (Loyalty, Promotion, Smart Queue/SmartQ), product categories (Frappuccino, Matcha, Horchata, S'more, Oatmilk/Oat Milk, Non Dairy), sustainability efforts (Recycle/Recyclable, Condiment Bar), labor matters (Union), technology (AI/Artificial Intelligence), geographic markets (Canada), external factors (Tariff), and special events (World Cup). Additionally, the term Boyu and Protein are tracked. Resolution requires exact language matching and applies uniformly across all tracked terms.
Prediction market odds often diverge from traditional analyst forecasts because they aggregate real-money bets from thousands of traders rather than relying on a small group of published estimates. In this market, traders with direct knowledge or strong conviction can profit by positioning ahead of consensus, creating price discovery that sometimes leads or contradicts Wall Street research. Analyst forecasts tend to be more conservative and slower to update, while prediction markets react instantly to new information. Comparing the two reveals whether the crowd expects Starbucks to surprise analysts or confirm their expectations during the earnings call.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts tied to specific outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each contract represents a binary bet on whether a particular statement or topic will be mentioned, with prices ranging from near zero to near one hundred, reflecting the implied probability. Traders submit limit and market orders, and the platform matches them in real time. The spread between bid and ask prices narrows as volume increases, making it cheaper to enter or exit positions when more traders are active.
This market resolves around Dec 31, 2026, after Starbucks holds its next earnings call and the company's public statements become verifiable. The outcome is confirmed once credible public reporting—such as official transcripts, press releases, or verified news coverage—documents what management said. Traders who correctly predicted the remarks or topics discussed will be paid out according to the contract terms. Resolution typically occurs within days of the earnings event, once sufficient time has passed for authoritative sources to document the call's content.
Major catalysts include Starbucks' quarterly financial performance, same-store sales trends, and any pre-earnings guidance or announcements that hint at management's talking points. Broader economic data—inflation, consumer spending, labor costs—can shift trader expectations about what the company will emphasize. Competitor actions, supply chain developments, or regulatory news may also influence which topics traders believe will dominate the call. Media speculation and analyst notes published before the earnings date often trigger repricing as traders adjust their positions based on new information or revised forecasts about what management will prioritize.