Starbucks (SBUX)

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As of Oct 23, 2026, Kalshi and Polymarket have settled 77 word markets on Starbucks’ earnings calls since 2025, on 24 different words. Next call: Oct 29, 2026 (17 words listed).

“Tariff” on the Jul 29 call · 20:58 · said 6 times. Play the clip

Next: Earnings call ·

17 words listed · Occasion page

Who counts: Kalshi: company speakers + operator

Kalshi

Starbucks: the words listed for Thu, Oct 29, how often each was said on past occasions, and the probability for this one
WordQ4’24Oct '24Q1’25Jan '25Q2’25Apr '25Q3’25Jul '25Q4’25year agoQ1’26Jan '26Q2’26Apr '26Q3’26last callTrendLast 8ScriptedAll-timeProbabilityMarket
Green Apron3+ times3 times: Green Apron (3+ times), Q4’24 Oct '24, counts as said7 times: Green Apron (3+ times), Q1’25 Jan '25, counts as said11 times: Green Apron (3+ times), Q2’25 Apr '25, counts as said29 times: Green Apron (3+ times), Q3’25 Jul '25, counts as said23 times: Green Apron (3+ times), Q4’25 Oct '25, counts as said13 times: Green Apron (3+ times), Q1’26 Jan '26, counts as said16 times: Green Apron (3+ times), Q2’26 Apr '26, counts as said10 times: Green Apron (3+ times), Q3’26 Jul '26, counts as saidrising8/8100%8/8100%17/8320%87%transcripts from the transcript model86¢ Kalshi
Tariff0 times: Tariff, Q4’24 Oct '240 times: Tariff, Q1’25 Jan '255 times: Tariff, Q2’25 Apr '25, counts as said3 times: Tariff, Q3’25 Jul '25, counts as said2 times: Tariff, Q4’25 Oct '25, counts as said4 times: Tariff, Q1’26 Jan '26, counts as said5 times: Tariff, Q2’26 Apr '26, counts as said6 times: Tariff, Q3’26 Jul '26, counts as saidrising6/875%6/875%6/837%87%n=3+tx from settlement history blended with transcripts88¢ Kalshi
Protein0 times: Protein, Q4’24 Oct '240 times: Protein, Q1’25 Jan '250 times: Protein, Q2’25 Apr '258 times: Protein, Q3’25 Jul '25, counts as said14 times: Protein, Q4’25 Oct '25, counts as said10 times: Protein, Q1’26 Jan '26, counts as said3 times: Protein, Q2’26 Apr '26, counts as said0 times: Protein, Q3’26 Jul '26rising4/850%3/838%15/8318%78%n=4+tx from settlement history blended with transcripts56¢ Kalshi
Smart Queue / SmartQ0 times: Smart Queue / SmartQ, Q4’24 Oct '240 times: Smart Queue / SmartQ, Q1’25 Jan '250 times: Smart Queue / SmartQ, Q2’25 Apr '254 times: Smart Queue / SmartQ, Q3’25 Jul '25, counts as said2 times: Smart Queue / SmartQ, Q4’25 Oct '25, counts as said1 time: Smart Queue / SmartQ, Q1’26 Jan '26, counts as said2 times: Smart Queue / SmartQ, Q2’26 Apr '26, counts as said1 time: Smart Queue / SmartQ, Q3’26 Jul '26, counts as saidrising5/862%4/850%5/836%74%n=4+tx from settlement history blended with transcripts75¢ Kalshi
Matcha0 times: Matcha, Q4’24 Oct '244 times: Matcha, Q1’25 Jan '25, counts as said2 times: Matcha, Q2’25 Apr '25, counts as said0 times: Matcha, Q3’25 Jul '254 times: Matcha, Q4’25 Oct '25, counts as said0 times: Matcha, Q1’26 Jan '261 time: Matcha, Q2’26 Apr '26, counts as said1 time: Matcha, Q3’26 Jul '26, counts as saidfalling5/862%4/850%9/8311%70%n=1+tx from settlement history blended with transcripts64¢ Kalshi
Comparable Sales0 times: Comparable Sales, Q4’24 Oct '240 times: Comparable Sales, Q1’25 Jan '250 times: Comparable Sales, Q2’25 Apr '257 times: Comparable Sales, Q3’25 Jul '25, counts as said0 times: Comparable Sales, Q4’25 Oct '250 times: Comparable Sales, Q1’26 Jan '261 time: Comparable Sales, Q2’26 Apr '26, counts as said2 times: Comparable Sales, Q3’26 Jul '26, counts as saidrising3/838%3/838%15/8318%52%n=4+tx from settlement history blended with transcripts64¢ Kalshi
Loyalty0 times: Loyalty, Q4’24 Oct '240 times: Loyalty, Q1’25 Jan '250 times: Loyalty, Q2’25 Apr '256 times: Loyalty, Q3’25 Jul '25, counts as said0 times: Loyalty, Q4’25 Oct '250 times: Loyalty, Q1’26 Jan '262 times: Loyalty, Q2’26 Apr '26, counts as said1 time: Loyalty, Q3’26 Jul '26, counts as saidrising3/838%2/825%64/8377%52%n=4+tx from settlement history blended with transcripts70¢ Kalshi
Canada0 times: Canada, Q4’24 Oct '240 times: Canada, Q1’25 Jan '251 time: Canada, Q2’25 Apr '25, counts as said4 times: Canada, Q3’25 Jul '25, counts as said2 times: Canada, Q4’25 Oct '25, counts as said0 times: Canada, Q1’26 Jan '260 times: Canada, Q2’26 Apr '261 time: Canada, Q3’26 Jul '26, counts as saidsteady4/850%4/850%51/8361%52%n=4+tx from settlement history blended with transcripts49¢ Kalshi
Frappuccino0 times: Frappuccino, Q4’24 Oct '240 times: Frappuccino, Q1’25 Jan '251 time: Frappuccino, Q2’25 Apr '25, counts as said0 times: Frappuccino, Q3’25 Jul '250 times: Frappuccino, Q4’25 Oct '251 time: Frappuccino, Q1’26 Jan '26, counts as said0 times: Frappuccino, Q2’26 Apr '261 time: Frappuccino, Q3’26 Jul '26, counts as saidrising3/838%2/825%45/8354%51%n=1+tx from settlement history blended with transcripts60¢ Kalshi
Boyu0 times: Boyu, Q4’24 Oct '240 times: Boyu, Q1’25 Jan '250 times: Boyu, Q2’25 Apr '250 times: Boyu, Q3’25 Jul '250 times: Boyu, Q4’25 Oct '252 times: Boyu, Q1’26 Jan '26, counts as said3 times: Boyu, Q2’26 Apr '26, counts as said0 times: Boyu, Q3’26 Jul '26rising2/825%2/825%2/832%42%n=2+tx from settlement history blended with transcripts23¢ Kalshi
Pumpkin Spice0 times: Pumpkin Spice, Q4’24 Oct '240 times: Pumpkin Spice, Q1’25 Jan '250 times: Pumpkin Spice, Q2’25 Apr '254 times: Pumpkin Spice, Q3’25 Jul '25, counts as said0 times: Pumpkin Spice, Q4’25 Oct '250 times: Pumpkin Spice, Q1’26 Jan '260 times: Pumpkin Spice, Q2’26 Apr '261 time: Pumpkin Spice, Q3’26 Jul '26, counts as saidsteady2/825%2/825%19/8323%27%n=2+tx from settlement history blended with transcripts56¢ Kalshi
AI / Artificial Intelligence0 times: AI / Artificial Intelligence, Q4’24 Oct '240 times: AI / Artificial Intelligence, Q1’25 Jan '250 times: AI / Artificial Intelligence, Q2’25 Apr '250 times: AI / Artificial Intelligence, Q3’25 Jul '250 times: AI / Artificial Intelligence, Q4’25 Oct '253 times: AI / Artificial Intelligence, Q1’26 Jan '26, counts as said0 times: AI / Artificial Intelligence, Q2’26 Apr '260 times: AI / Artificial Intelligence, Q3’26 Jul '26rising1/812%1/812%15/8318%27%n=1+tx from settlement history blended with transcripts34¢ Kalshi
Green Dot Assist0 times: Green Dot Assist, Q4’24 Oct '240 times: Green Dot Assist, Q1’25 Jan '250 times: Green Dot Assist, Q2’25 Apr '250 times: Green Dot Assist, Q3’25 Jul '250 times: Green Dot Assist, Q4’25 Oct '251 time: Green Dot Assist, Q1’26 Jan '26, counts as said0 times: Green Dot Assist, Q2’26 Apr '260 times: Green Dot Assist, Q3’26 Jul '26steady1/812%1/812%1/831%24%transcripts from the transcript model18¢ Kalshi
Peanuts / Snoopynever said0 times: Peanuts / Snoopy, Q4’24 Oct '240 times: Peanuts / Snoopy, Q1’25 Jan '250 times: Peanuts / Snoopy, Q2’25 Apr '250 times: Peanuts / Snoopy, Q3’25 Jul '250 times: Peanuts / Snoopy, Q4’25 Oct '250 times: Peanuts / Snoopy, Q1’26 Jan '260 times: Peanuts / Snoopy, Q2’26 Apr '260 times: Peanuts / Snoopy, Q3’26 Jul '26steady0/80%0/80%0/830%15%transcripts from the transcript model22¢ Kalshi
Union / Unionize / Unionized0 times: Union / Unionize / Unionized, Q4’24 Oct '240 times: Union / Unionize / Unionized, Q1’25 Jan '250 times: Union / Unionize / Unionized, Q2’25 Apr '250 times: Union / Unionize / Unionized, Q3’25 Jul '250 times: Union / Unionize / Unionized, Q4’25 Oct '250 times: Union / Unionize / Unionized, Q1’26 Jan '260 times: Union / Unionize / Unionized, Q2’26 Apr '260 times: Union / Unionize / Unionized, Q3’26 Jul '26steady0/80%0/80%2/832%15%transcripts from the transcript model19¢ Kalshi
Horchata0 times: Horchata, Q4’24 Oct '240 times: Horchata, Q1’25 Jan '251 time: Horchata, Q2’25 Apr '25, counts as said0 times: Horchata, Q3’25 Jul '250 times: Horchata, Q4’25 Oct '250 times: Horchata, Q1’26 Jan '260 times: Horchata, Q2’26 Apr '260 times: Horchata, Q3’26 Jul '26steady1/812%1/812%1/831%14%n=1+tx from settlement history blended with transcripts11¢ Kalshi
World Cupnever said0 times: World Cup, Q4’24 Oct '240 times: World Cup, Q1’25 Jan '250 times: World Cup, Q2’25 Apr '250 times: World Cup, Q3’25 Jul '250 times: World Cup, Q4’25 Oct '250 times: World Cup, Q1’26 Jan '260 times: World Cup, Q2’26 Apr '260 times: World Cup, Q3’26 Jul '26steady0/80%0/80%0/830%11%n=1+tx from settlement history blended with transcripts10¢ Kalshi
  • times said on that call
  • counted as said (ring)
  • no call
  • probability next time, with n
  • Select a word or a cell for its quotes
What the columns mean
Last N
of the appearances shown, how many counted as said
Trend
how the count moved over these calls
Scripted
calls of the last 8 where it was said in the prepared remarks
All-time
every call on file
Probability
the calibrated probability for the next listing; n is the settled observations behind it when it was computed, '+tx' adds the transcripts, 'new' means too little history

Market prices are mid quotes from Kalshi and Polymarket, shown for context, may be delayed by several minutes and are not a signal. Quotes as of Oct 20, 2026 15:46 UTC.

Every word

1–11 of 11, most settled first
Starbucks: every word with settled markets, most settled first
WordQ4’24Oct '24Q1’25Jan '25Q2’25Apr '25Q3’25Jul '25Q4’25Oct '25Q1’26Jan '26Q2’26Apr '26Q3’26last callTrendLast 8ScriptedAll-timeProbability
Condiment Bar3 times: Condiment Bar, Q4’24 Oct '24, counts as said4 times: Condiment Bar, Q1’25 Jan '25, counts as said0 times: Condiment Bar, Q2’25 Apr '252 times: Condiment Bar, Q3’25 Jul '25, counts as said1 time: Condiment Bar, Q4’25 Oct '25, counts as said0 times: Condiment Bar, Q1’26 Jan '260 times: Condiment Bar, Q2’26 Apr '260 times: Condiment Bar, Q3’26 Jul '26falling4/850%3/838%4/835%25%n=4+tx from settlement history blended with transcripts
Non Dairy3 times: Non Dairy, Q4’24 Oct '24, counts as said6 times: Non Dairy, Q1’25 Jan '25, counts as said0 times: Non Dairy, Q2’25 Apr '251 time: Non Dairy, Q3’25 Jul '25, counts as said1 time: Non Dairy, Q4’25 Oct '25, counts as said0 times: Non Dairy, Q1’26 Jan '260 times: Non Dairy, Q2’26 Apr '260 times: Non Dairy, Q3’26 Jul '26falling4/850%4/850%6/837%25%n=4+tx from settlement history blended with transcripts
Promotion1 time: Promotion, Q4’24 Oct '24, counts as said1 time: Promotion, Q1’25 Jan '25, counts as said0 times: Promotion, Q2’25 Apr '253 times: Promotion, Q3’25 Jul '25, counts as said1 time: Promotion, Q4’25 Oct '25, counts as said0 times: Promotion, Q1’26 Jan '260 times: Promotion, Q2’26 Apr '260 times: Promotion, Q3’26 Jul '26falling4/850%4/850%50/8360%25%n=4+tx from settlement history blended with transcripts
Oatmilk / Oat Milk0 times: Oatmilk / Oat Milk, Q4’24 Oct '240 times: Oatmilk / Oat Milk, Q1’25 Jan '251 time: Oatmilk / Oat Milk, Q2’25 Apr '25, counts as said0 times: Oatmilk / Oat Milk, Q3’25 Jul '250 times: Oatmilk / Oat Milk, Q4’25 Oct '250 times: Oatmilk / Oat Milk, Q1’26 Jan '260 times: Oatmilk / Oat Milk, Q2’26 Apr '260 times: Oatmilk / Oat Milk, Q3’26 Jul '26steady1/812%1/812%6/837%12%n=4+tx from settlement history blended with transcripts
Union0 times: Union, Q4’24 Oct '240 times: Union, Q1’25 Jan '250 times: Union, Q2’25 Apr '250 times: Union, Q3’25 Jul '250 times: Union, Q4’25 Oct '250 times: Union, Q1’26 Jan '260 times: Union, Q2’26 Apr '260 times: Union, Q3’26 Jul '26steady0/80%0/80%2/832%9%n=4+tx from settlement history blended with transcripts
Holiday2 times: Holiday, Q4’24 Oct '24, counts as said2 times: Holiday, Q1’25 Jan '25, counts as said1 time: Holiday, Q2’25 Apr '25, counts as said2 times: Holiday, Q3’25 Jul '25, counts as said5 times: Holiday, Q4’25 Oct '25, counts as said5 times: Holiday, Q1’26 Jan '26, counts as said0 times: Holiday, Q2’26 Apr '261 time: Holiday, Q3’26 Jul '26, counts as saidsteady7/888%7/888%64/8377%78%n=3+tx from settlement history blended with transcripts
Peppermint0 times: Peppermint, Q4’24 Oct '240 times: Peppermint, Q1’25 Jan '250 times: Peppermint, Q2’25 Apr '250 times: Peppermint, Q3’25 Jul '251 time: Peppermint, Q4’25 Oct '25, counts as said0 times: Peppermint, Q1’26 Jan '260 times: Peppermint, Q2’26 Apr '261 time: Peppermint, Q3’26 Jul '26, counts as saidrising2/825%2/825%12/8314%35%n=3+tx from settlement history blended with transcripts
Recycle / Recyclable0 times: Recycle / Recyclable, Q4’24 Oct '240 times: Recycle / Recyclable, Q1’25 Jan '250 times: Recycle / Recyclable, Q2’25 Apr '250 times: Recycle / Recyclable, Q3’25 Jul '250 times: Recycle / Recyclable, Q4’25 Oct '250 times: Recycle / Recyclable, Q1’26 Jan '260 times: Recycle / Recyclable, Q2’26 Apr '260 times: Recycle / Recyclable, Q3’26 Jul '26steady0/80%0/80%3/834%10%n=2+tx from settlement history blended with transcripts
China3 times: China, Q4’24 Oct '24, counts as said3 times: China, Q1’25 Jan '25, counts as said8 times: China, Q2’25 Apr '25, counts as said11 times: China, Q3’25 Jul '25, counts as said10 times: China, Q4’25 Oct '25, counts as said13 times: China, Q1’26 Jan '26, counts as said18 times: China, Q2’26 Apr '26, counts as said10 times: China, Q3’26 Jul '26, counts as saidrising8/8100%8/8100%78/8394%95%n=1+tx from settlement history blended with transcripts
S'more0 times: S'more, Q4’24 Oct '240 times: S'more, Q1’25 Jan '250 times: S'more, Q2’25 Apr '250 times: S'more, Q3’25 Jul '250 times: S'more, Q4’25 Oct '250 times: S'more, Q1’26 Jan '260 times: S'more, Q2’26 Apr '262 times: S'more, Q3’26 Jul '26, counts as saidrising1/812%1/812%2/832%44%n=1+tx from settlement history blended with transcripts
Shutdown / Shut Down0 times: Shutdown / Shut Down, Q4’24 Oct '240 times: Shutdown / Shut Down, Q1’25 Jan '250 times: Shutdown / Shut Down, Q2’25 Apr '250 times: Shutdown / Shut Down, Q3’25 Jul '250 times: Shutdown / Shut Down, Q4’25 Oct '250 times: Shutdown / Shut Down, Q1’26 Jan '260 times: Shutdown / Shut Down, Q2’26 Apr '260 times: Shutdown / Shut Down, Q3’26 Jul '26steady0/80%0/80%5/836%13%n=1+tx from settlement history blended with transcripts
What the columns mean
Last N
of the appearances shown, how many counted as said
Trend
how the count moved over these calls
Scripted
calls of the last 8 where it was said in the prepared remarks
All-time
every call on file
Probability
the calibrated probability for the next listing; n is the settled observations behind it when it was computed, '+tx' adds the transcripts, 'new' means too little history

Appearances and settled record

latest 12

Our transcript counts matched how 77 of 77 settled words resolved (100.0%). How we check.

Recent appearances and how their listed words settled
DateAppearanceTextWordsSettledOur count agreed
Jul 29, 2026Earnings call FY26 Q3Speaker-labelled transcript198 yes · 11 no19/19 (100%)
Apr 28, 2026Earnings call FY26 Q2Speaker-labelled transcript167 yes · 9 no16/16 (100%)
Jan 28, 2026Earnings call FY26 Q1Speaker-labelled transcript144 yes · 10 no14/14 (100%)
Oct 29, 2025Earnings call FY25 Q4Speaker-labelled transcript2816 yes · 12 no28/28 (100%)
Jul 29, 2025Earnings call FY25 Q3Speaker-labelled transcript0––
Apr 29, 2025Earnings call FY25 Q2Speaker-labelled transcript0––
Jan 28, 2025Earnings call FY25 Q1Speaker-labelled transcript0––
Oct 30, 2024Earnings call FY24 Q4Speaker-labelled transcript0––
Jul 30, 2024Earnings call FY24 Q3Speaker-labelled transcript0––
Apr 30, 2024Earnings call FY24 Q2Speaker-labelled transcript0––
Jan 30, 2024Earnings call FY24 Q1Speaker-labelled transcript0––
Nov 2, 2023Earnings call FY23 Q4Speaker-labelled transcript0––

Citeparrot.markets, “Starbucks (SBUX): earnings call word history”, as of Oct 23, 2026, https://parrot.markets/earnings/SBUX (CC BY 4.0)

Agents: this page as TSV at /api/v1/entity/starbucks · words: /api/v1/history?entity=starbucks · columnar JSON in #parrot-data · llms.txt · MCP