Visa (V)

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As of Oct 23, 2026, Kalshi has settled 28 word markets on Visa’s earnings calls since 2026, on 15 different words. Next call: Oct 27, 2026 (14 words listed).

Next: Earnings call ·

14 words listed · Occasion page

Who counts: Kalshi: company speakers + operator

Kalshi

Visa: the words listed for Tue, Oct 27, 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
Tokenization0 times: Tokenization, Q4’24 Oct '240 times: Tokenization, Q1’25 Jan '252 times: Tokenization, Q2’25 Apr '25, counts as said3 times: Tokenization, Q3’25 Jul '25, counts as said4 times: Tokenization, Q4’25 Oct '25, counts as said8 times: Tokenization, Q1’26 Jan '26, counts as said4 times: Tokenization, Q2’26 Apr '26, counts as said1 time: Tokenization, Q3’26 Jul '26, counts as saidrising6/875%4/850%35/7348%85%n=2+tx from settlement history blended with transcripts82¢ Kalshi
Stablecoin / Stable Coin3+ times0 times: Stablecoin / Stable Coin (3+ times), Q4’24 Oct '240 times: Stablecoin / Stable Coin (3+ times), Q1’25 Jan '258 times: Stablecoin / Stable Coin (3+ times), Q2’25 Apr '25, counts as said25 times: Stablecoin / Stable Coin (3+ times), Q3’25 Jul '25, counts as said20 times: Stablecoin / Stable Coin (3+ times), Q4’25 Oct '25, counts as said23 times: Stablecoin / Stable Coin (3+ times), Q1’26 Jan '26, counts as said23 times: Stablecoin / Stable Coin (3+ times), Q2’26 Apr '26, counts as said18 times: Stablecoin / Stable Coin (3+ times), Q3’26 Jul '26, counts as saidrising6/875%6/875%7/7310%85%transcripts from the transcript model94¢ Kalshi
Blockchain0 times: Blockchain, Q4’24 Oct '240 times: Blockchain, Q1’25 Jan '251 time: Blockchain, Q2’25 Apr '25, counts as said2 times: Blockchain, Q3’25 Jul '25, counts as said2 times: Blockchain, Q4’25 Oct '25, counts as said3 times: Blockchain, Q1’26 Jan '26, counts as said9 times: Blockchain, Q2’26 Apr '26, counts as said1 time: Blockchain, Q3’26 Jul '26, counts as saidrising6/875%6/875%13/7318%84%n=2+tx from settlement history blended with transcripts82¢ Kalshi
International3+ times7 times: International (3+ times), Q4’24 Oct '24, counts as said6 times: International (3+ times), Q1’25 Jan '25, counts as said6 times: International (3+ times), Q2’25 Apr '25, counts as said6 times: International (3+ times), Q3’25 Jul '25, counts as said3 times: International (3+ times), Q4’25 Oct '25, counts as said10 times: International (3+ times), Q1’26 Jan '26, counts as said4 times: International (3+ times), Q2’26 Apr '26, counts as said5 times: International (3+ times), Q3’26 Jul '26, counts as saidsteady8/8100%7/888%67/7392%74%transcripts from the transcript model90¢ Kalshi
Hyperscaler0 times: Hyperscaler, Q4’24 Oct '240 times: Hyperscaler, Q1’25 Jan '250 times: Hyperscaler, Q2’25 Apr '251 time: Hyperscaler, Q3’25 Jul '25, counts as said2 times: Hyperscaler, Q4’25 Oct '25, counts as said1 time: Hyperscaler, Q1’26 Jan '26, counts as said1 time: Hyperscaler, Q2’26 Apr '26, counts as said2 times: Hyperscaler, Q3’26 Jul '26, counts as saidrising5/862%5/862%5/737%69%n=1+tx from settlement history blended with transcripts76¢ Kalshi
Holiday0 times: Holiday, Q4’24 Oct '249 times: Holiday, Q1’25 Jan '25, counts as said0 times: Holiday, Q2’25 Apr '252 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 '260 times: Holiday, Q3’26 Jul '26falling4/850%3/838%26/7336%60%n=2+tx from settlement history blended with transcripts45¢ Kalshi
Loyalty0 times: Loyalty, Q4’24 Oct '241 time: Loyalty, Q1’25 Jan '25, counts as said0 times: Loyalty, Q2’25 Apr '251 time: Loyalty, Q3’25 Jul '25, counts as said0 times: Loyalty, Q4’25 Oct '250 times: Loyalty, Q1’26 Jan '261 time: Loyalty, Q2’26 Apr '26, counts as said1 time: Loyalty, Q3’26 Jul '26, counts as saidrising4/850%4/850%22/7330%48%n=2+tx from settlement history blended with transcripts42¢ Kalshi
Regulation / Regulatory1 time: Regulation / Regulatory, Q4’24 Oct '24, counts as said3 times: Regulation / Regulatory, Q1’25 Jan '25, counts as said2 times: Regulation / Regulatory, Q2’25 Apr '25, counts as said1 time: Regulation / Regulatory, Q3’25 Jul '25, counts as said1 time: Regulation / Regulatory, Q4’25 Oct '25, counts as said0 times: Regulation / Regulatory, Q1’26 Jan '261 time: Regulation / Regulatory, Q2’26 Apr '26, counts as said0 times: Regulation / Regulatory, Q3’26 Jul '26falling6/875%1/812%54/7374%45%n=2+tx from settlement history blended with transcripts53¢ Kalshi
Inflation0 times: Inflation, Q4’24 Oct '240 times: Inflation, Q1’25 Jan '251 time: Inflation, Q2’25 Apr '25, counts as said0 times: Inflation, Q3’25 Jul '251 time: Inflation, Q4’25 Oct '25, counts as said0 times: Inflation, Q1’26 Jan '260 times: Inflation, Q2’26 Apr '260 times: Inflation, Q3’26 Jul '26steady2/825%0/80%12/7316%21%n=2+tx from settlement history blended with transcripts26¢ Kalshi
Inyonever said0 times: Inyo, Q4’24 Oct '240 times: Inyo, Q1’25 Jan '250 times: Inyo, Q2’25 Apr '250 times: Inyo, Q3’25 Jul '250 times: Inyo, Q4’25 Oct '250 times: Inyo, Q1’26 Jan '260 times: Inyo, Q2’26 Apr '260 times: Inyo, Q3’26 Jul '26steady0/80%0/80%0/730%15%transcripts from the transcript model27¢ Kalshi
M&A / Merger0 times: M&A / Merger, Q4’24 Oct '240 times: M&A / Merger, Q1’25 Jan '251 time: M&A / Merger, Q2’25 Apr '25, counts as said0 times: M&A / Merger, Q3’25 Jul '250 times: M&A / Merger, Q4’25 Oct '250 times: M&A / Merger, Q1’26 Jan '260 times: M&A / Merger, Q2’26 Apr '260 times: M&A / Merger, Q3’26 Jul '26steady1/812%0/80%19/7326%14%n=2+tx from settlement history blended with transcripts26¢ Kalshi
Cybersecurity0 times: Cybersecurity, Q4’24 Oct '240 times: Cybersecurity, Q1’25 Jan '250 times: Cybersecurity, Q2’25 Apr '250 times: Cybersecurity, Q3’25 Jul '250 times: Cybersecurity, Q4’25 Oct '250 times: Cybersecurity, Q1’26 Jan '260 times: Cybersecurity, Q2’26 Apr '260 times: Cybersecurity, Q3’26 Jul '26steady0/80%0/80%12/7316%11%n=2+tx from settlement history blended with transcripts26¢ Kalshi
Rate Cap / 10% Capnever said0 times: Rate Cap / 10% Cap, Q4’24 Oct '240 times: Rate Cap / 10% Cap, Q1’25 Jan '250 times: Rate Cap / 10% Cap, Q2’25 Apr '250 times: Rate Cap / 10% Cap, Q3’25 Jul '250 times: Rate Cap / 10% Cap, Q4’25 Oct '250 times: Rate Cap / 10% Cap, Q1’26 Jan '260 times: Rate Cap / 10% Cap, Q2’26 Apr '260 times: Rate Cap / 10% Cap, Q3’26 Jul '26steady0/80%0/80%0/730%11%n=2+tx from settlement history blended with transcripts7¢ Kalshi
Trumpnever said0 times: Trump, Q4’24 Oct '240 times: Trump, Q1’25 Jan '250 times: Trump, Q2’25 Apr '250 times: Trump, Q3’25 Jul '250 times: Trump, Q4’25 Oct '250 times: Trump, Q1’26 Jan '260 times: Trump, Q2’26 Apr '260 times: Trump, Q3’26 Jul '26steady0/80%0/80%0/730%11%n=2+tx from settlement history blended with transcripts8¢ 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

1–4 of 4, most settled first
Visa: 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
Internationalevery call7 times: International, Q4’24 Oct '24, counts as said6 times: International, Q1’25 Jan '25, counts as said6 times: International, Q2’25 Apr '25, counts as said6 times: International, Q3’25 Jul '25, counts as said3 times: International, Q4’25 Oct '25, counts as said10 times: International, Q1’26 Jan '26, counts as said4 times: International, Q2’26 Apr '26, counts as said5 times: International, Q3’26 Jul '26, counts as saidsteady8/8100%8/8100%73/73100%92%n=2+tx from settlement history blended with transcripts
Mercuryonever said0 times: Mercuryo, Q4’24 Oct '240 times: Mercuryo, Q1’25 Jan '250 times: Mercuryo, Q2’25 Apr '250 times: Mercuryo, Q3’25 Jul '250 times: Mercuryo, Q4’25 Oct '250 times: Mercuryo, Q1’26 Jan '260 times: Mercuryo, Q2’26 Apr '260 times: Mercuryo, Q3’26 Jul '26steady0/80%0/80%0/730%11%n=2+tx from settlement history blended with transcripts
Southwest0 times: Southwest, Q4’24 Oct '240 times: Southwest, Q1’25 Jan '250 times: Southwest, Q2’25 Apr '250 times: Southwest, Q3’25 Jul '251 time: Southwest, Q4’25 Oct '25, counts as said0 times: Southwest, Q1’26 Jan '260 times: Southwest, Q2’26 Apr '260 times: Southwest, Q3’26 Jul '26steady1/812%1/812%5/737%18%n=2+tx from settlement history blended with transcripts
World Cup0 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 '253 times: World Cup, Q4’25 Oct '25, counts as said1 time: World Cup, Q1’26 Jan '26, counts as said2 times: World Cup, Q2’26 Apr '26, counts as said3 times: World Cup, Q3’26 Jul '26, counts as saidrising4/850%3/838%24/7333%72%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 28 of 28 settled words resolved (100.0%). How we check.

Recent appearances and how their listed words settled
DateAppearanceTextWordsSettledOur count agreed
Jul 28, 2026Earnings call FY26 Q3Speaker-labelled transcript0––
Apr 28, 2026Earnings call FY26 Q2Speaker-labelled transcript157 yes · 8 no15/15 (100%)
Jan 29, 2026Earnings call FY26 Q1Speaker-labelled transcript134 yes · 9 no13/13 (100%)
Oct 28, 2025Earnings call FY25 Q4Speaker-labelled transcript0––
Jul 29, 2025Earnings call FY25 Q3Speaker-labelled transcript0––
Apr 29, 2025Earnings call FY25 Q2Speaker-labelled transcript0––
Jan 30, 2025Earnings call FY25 Q1Speaker-labelled transcript0––
Oct 29, 2024Earnings call FY24 Q4Speaker-labelled transcript0––
Jul 23, 2024Earnings call FY24 Q3Speaker-labelled transcript0––
Apr 23, 2024Earnings call FY24 Q2Speaker-labelled transcript0––
Jan 25, 2024Earnings call FY24 Q1Speaker-labelled transcript0––
Oct 24, 2023Earnings call FY23 Q4Speaker-labelled transcript0––

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

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