Toast (TOST)

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As of Oct 24, 2026, Kalshi has settled 14 word markets on Toast’s earnings calls since 2026, on 14 different words. Next call: Nov 3, 2026 (11 words listed).

Next: Earnings call ·

11 words listed · Occasion page

Who counts: Kalshi: company speakers + operator

Kalshi

Toast: the words listed for Tue, Nov 3, how often each was said on past occasions, and the probability for this one
WordQ3’24Nov '24Q4’24Feb '25Q1’25May '25Q2’25Aug '25Q3’25year agoQ4’25Feb '26Q1’26May '26Q2’26last callTrendLast 8ScriptedAll-timeProbabilityMarket
Toast IQ0 times: Toast IQ, Q3’24 Nov '240 times: Toast IQ, Q4’24 Feb '253 times: Toast IQ, Q1’25 May '25, counts as said4 times: Toast IQ, Q2’25 Aug '25, counts as said17 times: Toast IQ, Q3’25 Nov '25, counts as said21 times: Toast IQ, Q4’25 Feb '26, counts as said22 times: Toast IQ, Q1’26 May '26, counts as said22 times: Toast IQ, Q2’26 Aug '26, counts as saidrising6/875%6/875%6/2030%95%n=1+tx from settlement history blended with transcripts80¢ Kalshi
Agent / Agentic0 times: Agent / Agentic, Q3’24 Nov '240 times: Agent / Agentic, Q4’24 Feb '251 time: Agent / Agentic, Q1’25 May '25, counts as said0 times: Agent / Agentic, Q2’25 Aug '252 times: Agent / Agentic, Q3’25 Nov '25, counts as said6 times: Agent / Agentic, Q4’25 Feb '26, counts as said21 times: Agent / Agentic, Q1’26 May '26, counts as said9 times: Agent / Agentic, Q2’26 Aug '26, counts as saidrising5/862%4/850%5/2025%90%n=1+tx from settlement history blended with transcripts52¢ Kalshi
Memory / Chip0 times: Memory / Chip, Q3’24 Nov '240 times: Memory / Chip, Q4’24 Feb '250 times: Memory / Chip, Q1’25 May '250 times: Memory / Chip, Q2’25 Aug '250 times: Memory / Chip, Q3’25 Nov '254 times: Memory / Chip, Q4’25 Feb '26, counts as said2 times: Memory / Chip, Q1’26 May '26, counts as said6 times: Memory / Chip, Q2’26 Aug '26, counts as saidrising3/838%3/838%4/2020%76%n=1+tx from settlement history blended with transcripts64¢ Kalshi
Tariff0 times: Tariff, Q3’24 Nov '240 times: Tariff, Q4’24 Feb '253 times: Tariff, Q1’25 May '25, counts as said3 times: Tariff, Q2’25 Aug '25, counts as said1 time: Tariff, Q3’25 Nov '25, counts as said2 times: Tariff, Q4’25 Feb '26, counts as said1 time: Tariff, Q1’26 May '26, counts as said3 times: Tariff, Q2’26 Aug '26, counts as saidrising6/875%6/875%7/2035%75%n=1+tx from settlement history blended with transcripts46¢ Kalshi
Buyback / Buy Back0 times: Buyback / Buy Back, Q3’24 Nov '240 times: Buyback / Buy Back, Q4’24 Feb '250 times: Buyback / Buy Back, Q1’25 May '250 times: Buyback / Buy Back, Q2’25 Aug '250 times: Buyback / Buy Back, Q3’25 Nov '252 times: Buyback / Buy Back, Q4’25 Feb '26, counts as said0 times: Buyback / Buy Back, Q1’26 May '261 time: Buyback / Buy Back, Q2’26 Aug '26, counts as saidrising2/825%2/825%3/2015%46%transcripts from the transcript model46¢ Kalshi
Resy0 times: Resy, Q3’24 Nov '240 times: Resy, Q4’24 Feb '250 times: Resy, Q1’25 May '252 times: Resy, Q2’25 Aug '25, counts as said1 time: Resy, Q3’25 Nov '25, counts as said0 times: Resy, Q4’25 Feb '263 times: Resy, Q1’26 May '26, counts as said0 times: Resy, Q2’26 Aug '26rising3/838%2/825%3/2015%37%n=1+tx from settlement history blended with transcripts46¢ Kalshi
Fraud / Theft0 times: Fraud / Theft, Q3’24 Nov '241 time: Fraud / Theft, Q4’24 Feb '25, counts as said0 times: Fraud / Theft, Q1’25 May '250 times: Fraud / Theft, Q2’25 Aug '250 times: Fraud / Theft, Q3’25 Nov '250 times: Fraud / Theft, Q4’25 Feb '262 times: Fraud / Theft, Q1’26 May '26, counts as said0 times: Fraud / Theft, Q2’26 Aug '26steady2/825%0/80%2/2010%27%n=1+tx from settlement history blended with transcripts46¢ Kalshi
Instacart0 times: Instacart, Q3’24 Nov '240 times: Instacart, Q4’24 Feb '250 times: Instacart, Q1’25 May '250 times: Instacart, Q2’25 Aug '250 times: Instacart, Q3’25 Nov '252 times: Instacart, Q4’25 Feb '26, counts as said0 times: Instacart, Q1’26 May '260 times: Instacart, Q2’26 Aug '26rising1/812%1/812%1/205%24%n=1+tx from settlement history blended with transcripts44¢ Kalshi
London0 times: London, Q3’24 Nov '240 times: London, Q4’24 Feb '251 time: London, Q1’25 May '25, counts as said0 times: London, Q2’25 Aug '250 times: London, Q3’25 Nov '250 times: London, Q4’25 Feb '261 time: London, Q1’26 May '26, counts as said0 times: London, Q2’26 Aug '26steady2/825%0/80%3/2015%22%n=1+tx from settlement history blended with transcripts40¢ Kalshi
Uber Eats0 times: Uber Eats, Q3’24 Nov '240 times: Uber Eats, Q4’24 Feb '250 times: Uber Eats, Q1’25 May '250 times: Uber Eats, Q2’25 Aug '250 times: Uber Eats, Q3’25 Nov '250 times: Uber Eats, Q4’25 Feb '260 times: Uber Eats, Q1’26 May '260 times: Uber Eats, Q2’26 Aug '26steady0/80%0/80%1/205%12%n=1+tx from settlement history blended with transcripts13¢ Kalshi
Voice Orderingnever said0 times: Voice Ordering, Q3’24 Nov '240 times: Voice Ordering, Q4’24 Feb '250 times: Voice Ordering, Q1’25 May '250 times: Voice Ordering, Q2’25 Aug '250 times: Voice Ordering, Q3’25 Nov '250 times: Voice Ordering, Q4’25 Feb '260 times: Voice Ordering, Q1’26 May '260 times: Voice Ordering, Q2’26 Aug '26steady0/80%0/80%0/200%12%n=1+tx from settlement history blended with transcripts46¢ 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 22, 2026 23:15 UTC.

Every word

1–4 of 4, most settled first
Toast: every word with settled markets, most settled first
WordQ3’24Nov '24Q4’24Feb '25Q1’25May '25Q2’25Aug '25Q3’25Nov '25Q4’25Feb '26Q1’26May '26Q2’26last callTrendLast 8ScriptedAll-timeProbability
Share Repurchase / Buyback1 time: Share Repurchase / Buyback, Q3’24 Nov '24, counts as said0 times: Share Repurchase / Buyback, Q4’24 Feb '250 times: Share Repurchase / Buyback, Q1’25 May '250 times: Share Repurchase / Buyback, Q2’25 Aug '250 times: Share Repurchase / Buyback, Q3’25 Nov '253 times: Share Repurchase / Buyback, Q4’25 Feb '26, counts as said1 time: Share Repurchase / Buyback, Q1’26 May '26, counts as said2 times: Share Repurchase / Buyback, Q2’26 Aug '26, counts as saidrising4/850%4/850%7/2035%68%n=1+tx from settlement history blended with transcripts
Local2 times: Local, Q3’24 Nov '24, counts as said0 times: Local, Q4’24 Feb '252 times: Local, Q1’25 May '25, counts as said7 times: Local, Q2’25 Aug '25, counts as said0 times: Local, Q3’25 Nov '251 time: Local, Q4’25 Feb '26, counts as said15 times: Local, Q1’26 May '26, counts as said4 times: Local, Q2’26 Aug '26, counts as saidrising6/875%5/862%18/2090%86%n=1+tx from settlement history blended with transcripts
Hungry Howie’s0 times: Hungry Howie’s, Q3’24 Nov '240 times: Hungry Howie’s, Q4’24 Feb '250 times: Hungry Howie’s, Q1’25 May '250 times: Hungry Howie’s, Q2’25 Aug '250 times: Hungry Howie’s, Q3’25 Nov '250 times: Hungry Howie’s, Q4’25 Feb '261 time: Hungry Howie’s, Q1’26 May '26, counts as said0 times: Hungry Howie’s, Q2’26 Aug '26steady1/812%1/812%1/205%20%n=1+tx from settlement history blended with transcripts
Preferred0 times: Preferred, Q3’24 Nov '240 times: Preferred, Q4’24 Feb '250 times: Preferred, Q1’25 May '250 times: Preferred, Q2’25 Aug '250 times: Preferred, Q3’25 Nov '250 times: Preferred, Q4’25 Feb '261 time: Preferred, Q1’26 May '26, counts as said0 times: Preferred, Q2’26 Aug '26steady1/812%1/812%1/205%20%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 14 of 14 settled words resolved (100.0%). How we check.

Recent appearances and how their listed words settled
DateAppearanceTextWordsSettledOur count agreed
Aug 4, 2026Earnings call FY26 Q2Speaker-labelled transcript146 yes · 8 no14/14 (100%)
May 7, 2026Earnings call FY26 Q1Speaker-labelled transcript0––
Feb 12, 2026Earnings call FY25 Q4Speaker-labelled transcript0––
Nov 4, 2025Earnings call FY25 Q3Speaker-labelled transcript0––
Aug 5, 2025Earnings call FY25 Q2Speaker-labelled transcript0––
May 8, 2025Earnings call FY25 Q1Speaker-labelled transcript0––
Feb 19, 2025Earnings call FY24 Q4Speaker-labelled transcript0––
Nov 7, 2024Earnings call FY24 Q3Speaker-labelled transcript0––
Aug 6, 2024Earnings call FY24 Q2Speaker-labelled transcript0––
May 7, 2024Earnings call FY24 Q1Speaker-labelled transcript0––
Feb 15, 2024Earnings call FY23 Q4Speaker-labelled transcript0––
Nov 7, 2023Earnings call FY23 Q3Speaker-labelled transcript0––

Citeparrot.markets, “Toast (TOST): earnings call word history”, as of Oct 24, 2026, https://parrot.markets/earnings/TOST (CC BY 4.0)

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