Hilton (HLT)

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As of Oct 24, 2026, Kalshi has settled 11 word markets on Hilton’s earnings calls since 2026, on 11 different words. Next call: Oct 27, 2026 (11 words listed).

Next: Earnings call ·

11 words listed · Occasion page

Who counts: Kalshi: company speakers + operator

Kalshi

Hilton: the words listed for Tue, Oct 27, how often each was said on past occasions, and the probability for this one
WordQ3’24Oct '24Q4’24Feb '25Q1’25Apr '25Q2’25Jul '25Q3’25year agoQ4’25Feb '26Q1’26Apr '26Q2’26last callTrendLast 8ScriptedAll-timeProbabilityMarket
Honor2 times: Honor, Q3’24 Oct '24, counts as said0 times: Honor, Q4’24 Feb '250 times: Honor, Q1’25 Apr '254 times: Honor, Q2’25 Jul '25, counts as said2 times: Honor, Q3’25 Oct '25, counts as said7 times: Honor, Q4’25 Feb '26, counts as said1 time: Honor, Q1’26 Apr '26, counts as said1 time: Honor, Q2’26 Jul '26, counts as saidrising6/875%5/862%39/5374%79%n=1+tx from settlement history blended with transcripts84¢ Kalshi
AI / Artificial Intelligence3+ times0 times: AI / Artificial Intelligence (3+ times), Q3’24 Oct '242 times: AI / Artificial Intelligence (3+ times), Q4’24 Feb '25, below the threshold1 time: AI / Artificial Intelligence (3+ times), Q1’25 Apr '25, below the threshold4 times: AI / Artificial Intelligence (3+ times), Q2’25 Jul '25, counts as said11 times: AI / Artificial Intelligence (3+ times), Q3’25 Oct '25, counts as said15 times: AI / Artificial Intelligence (3+ times), Q4’25 Feb '26, counts as said17 times: AI / Artificial Intelligence (3+ times), Q1’26 Apr '26, counts as said9 times: AI / Artificial Intelligence (3+ times), Q2’26 Jul '26, counts as saidrising5/862%2/825%7/5313%78%transcripts from the transcript model94¢ Kalshi
Graduate / Undergraduate4 times: Graduate / Undergraduate, Q3’24 Oct '24, counts as said0 times: Graduate / Undergraduate, Q4’24 Feb '250 times: Graduate / Undergraduate, Q1’25 Apr '253 times: Graduate / Undergraduate, Q2’25 Jul '25, counts as said0 times: Graduate / Undergraduate, Q3’25 Oct '259 times: Graduate / Undergraduate, Q4’25 Feb '26, counts as said0 times: Graduate / Undergraduate, Q1’26 Apr '264 times: Graduate / Undergraduate, Q2’26 Jul '26, counts as saidrising4/850%2/825%6/5311%73%transcripts from the transcript model45¢ Kalshi
India2 times: India, Q3’24 Oct '24, counts as said2 times: India, Q4’24 Feb '25, counts as said4 times: India, Q1’25 Apr '25, counts as said3 times: India, Q2’25 Jul '25, counts as said0 times: India, Q3’25 Oct '250 times: India, Q4’25 Feb '265 times: India, Q1’26 Apr '26, counts as said1 time: India, Q2’26 Jul '26, counts as saidsteady6/875%6/875%15/5328%60%n=1+tx from settlement history blended with transcripts68¢ Kalshi
Competition1 time: Competition, Q3’24 Oct '24, counts as said0 times: Competition, Q4’24 Feb '252 times: Competition, Q1’25 Apr '25, counts as said1 time: Competition, Q2’25 Jul '25, counts as said2 times: Competition, Q3’25 Oct '25, counts as said1 time: Competition, Q4’25 Feb '26, counts as said1 time: Competition, Q1’26 Apr '26, counts as said0 times: Competition, Q2’26 Jul '26steady6/875%2/825%29/5355%58%n=1+tx from settlement history blended with transcripts59¢ Kalshi
Spark9 times: Spark, Q3’24 Oct '24, counts as said4 times: Spark, Q4’24 Feb '25, counts as said5 times: Spark, Q1’25 Apr '25, counts as said8 times: Spark, Q2’25 Jul '25, counts as said1 time: Spark, Q3’25 Oct '25, counts as said0 times: Spark, Q4’25 Feb '261 time: Spark, Q1’26 Apr '26, counts as said1 time: Spark, Q2’26 Jul '26, counts as saidfalling7/888%6/875%15/5328%54%n=1+tx from settlement history blended with transcripts74¢ Kalshi
Tariff0 times: Tariff, Q3’24 Oct '248 times: Tariff, Q4’24 Feb '25, counts as said1 time: Tariff, Q1’25 Apr '25, counts as said1 time: Tariff, Q2’25 Jul '25, counts as said3 times: Tariff, Q3’25 Oct '25, counts as said0 times: Tariff, Q4’25 Feb '260 times: Tariff, Q1’26 Apr '260 times: Tariff, Q2’26 Jul '26falling4/850%0/80%4/538%37%n=1+tx from settlement history blended with transcripts16¢ Kalshi
Navan0 times: Navan, Q3’24 Oct '240 times: Navan, Q4’24 Feb '250 times: Navan, Q1’25 Apr '250 times: Navan, Q2’25 Jul '250 times: Navan, Q3’25 Oct '250 times: Navan, Q4’25 Feb '260 times: Navan, Q1’26 Apr '261 time: Navan, Q2’26 Jul '26, counts as saidrising1/812%1/812%1/532%32%transcripts from the transcript model26¢ Kalshi
Olympic / Olympics1 time: Olympic / Olympics, Q3’24 Oct '24, counts as said0 times: Olympic / Olympics, Q4’24 Feb '250 times: Olympic / Olympics, Q1’25 Apr '250 times: Olympic / Olympics, Q2’25 Jul '250 times: Olympic / Olympics, Q3’25 Oct '250 times: Olympic / Olympics, Q4’25 Feb '261 time: Olympic / Olympics, Q1’26 Apr '26, counts as said0 times: Olympic / Olympics, Q2’26 Jul '26steady2/825%2/825%8/5315%23%n=1+tx from settlement history blended with transcripts9¢ Kalshi
ICE / Border0 times: ICE / Border, Q3’24 Oct '241 time: ICE / Border, Q4’24 Feb '25, counts as said1 time: ICE / Border, Q1’25 Apr '25, counts as said0 times: ICE / Border, Q2’25 Jul '250 times: ICE / Border, Q3’25 Oct '250 times: ICE / Border, Q4’25 Feb '260 times: ICE / Border, Q1’26 Apr '260 times: ICE / Border, Q2’26 Jul '26falling2/825%0/80%8/5315%18%n=1+tx from settlement history blended with transcripts12¢ Kalshi
LivSmart0 times: LivSmart, Q3’24 Oct '240 times: LivSmart, Q4’24 Feb '250 times: LivSmart, Q1’25 Apr '251 time: LivSmart, Q2’25 Jul '25, counts as said0 times: LivSmart, Q3’25 Oct '250 times: LivSmart, Q4’25 Feb '260 times: LivSmart, Q1’26 Apr '260 times: LivSmart, Q2’26 Jul '26steady1/812%1/812%2/534%16%n=1+tx from settlement history blended with transcripts19¢ 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

1–3 of 3, most settled first
Hilton: every word with settled markets, most settled first
WordQ3’24Oct '24Q4’24Feb '25Q1’25Apr '25Q2’25Jul '25Q3’25Oct '25Q4’25Feb '26Q1’26Apr '26Q2’26last callTrendLast 8ScriptedAll-timeProbability
AI / Artificial Intelligence0 times: AI / Artificial Intelligence, Q3’24 Oct '242 times: AI / Artificial Intelligence, Q4’24 Feb '25, counts as said1 time: AI / Artificial Intelligence, Q1’25 Apr '25, counts as said4 times: AI / Artificial Intelligence, Q2’25 Jul '25, counts as said11 times: AI / Artificial Intelligence, Q3’25 Oct '25, counts as said15 times: AI / Artificial Intelligence, Q4’25 Feb '26, counts as said17 times: AI / Artificial Intelligence, Q1’26 Apr '26, counts as said9 times: AI / Artificial Intelligence, Q2’26 Jul '26, counts as saidrising7/888%4/850%13/5325%94%n=1+tx from settlement history blended with transcripts
World Cup0 times: World Cup, Q3’24 Oct '240 times: World Cup, Q4’24 Feb '250 times: World Cup, Q1’25 Apr '250 times: World Cup, Q2’25 Jul '251 time: World Cup, Q3’25 Oct '25, counts as said3 times: World Cup, Q4’25 Feb '26, counts as said0 times: World Cup, Q1’26 Apr '2618 times: World Cup, Q2’26 Jul '26, counts as saidrising3/838%1/812%11/5321%82%n=1+tx from settlement history blended with transcripts
Minnesota / Minneapolisnever said0 times: Minnesota / Minneapolis, Q3’24 Oct '240 times: Minnesota / Minneapolis, Q4’24 Feb '250 times: Minnesota / Minneapolis, Q1’25 Apr '250 times: Minnesota / Minneapolis, Q2’25 Jul '250 times: Minnesota / Minneapolis, Q3’25 Oct '250 times: Minnesota / Minneapolis, Q4’25 Feb '260 times: Minnesota / Minneapolis, Q1’26 Apr '260 times: Minnesota / Minneapolis, Q2’26 Jul '26steady0/80%0/80%0/530%12%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 11 of 11 settled words resolved (100.0%). How we check.

Recent appearances and how their listed words settled
DateAppearanceTextWordsSettledOur count agreed
Jul 28, 2026Earnings call FY26 Q2Speaker-labelled transcript0––
Apr 28, 2026Earnings call FY26 Q1Speaker-labelled transcript0––
Feb 11, 2026Earnings call FY25 Q4Speaker-labelled transcript114 yes · 7 no11/11 (100%)
Oct 22, 2025Earnings call FY25 Q3Speaker-labelled transcript0––
Jul 23, 2025Earnings call FY25 Q2Speaker-labelled transcript0––
Apr 29, 2025Earnings call FY25 Q1Speaker-labelled transcript0––
Feb 6, 2025Earnings call FY24 Q4Speaker-labelled transcript0––
Oct 23, 2024Earnings call FY24 Q3Speaker-labelled transcript0––
Aug 7, 2024Earnings call FY24 Q2Speaker-labelled transcript0––
Apr 24, 2024Earnings call FY24 Q1Speaker-labelled transcript0––
Feb 7, 2024Earnings call FY23 Q4Speaker-labelled transcript0––
Oct 25, 2023Earnings call FY23 Q3Speaker-labelled transcript0––

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

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