JPMorgan (JPM)

EarningsTranscriptsUpdated

As of Oct 23, 2026, Kalshi and Polymarket have settled 123 word markets on JPMorgan’s earnings calls since 2025, on 55 different words; most reliably said: “Hiring” (4 of 5). Next call: Jan 14, 2027 (18 words listed).

Next: Earnings call ·

18 words listed · Occasion page

Who counts: Kalshi: company speakers + operator

Kalshi

JPMorgan: the words listed for Thu, Jan 14, how often each was said on past occasions, and the probability for this one
WordQ4’24Jan '25Q1’25Apr '25Q2’25Jul '25Q3’25Oct '25Q4’25year agoQ1’26Apr '26Q2’26Jul '26Q3’26last callTrendLast 8ScriptedAll-timeProbabilityMarket
Buyback / Buy Back2 times: Buyback / Buy Back, Q4’24 Jan '25, counts as said1 time: Buyback / Buy Back, Q1’25 Apr '25, counts as said2 times: Buyback / Buy Back, Q2’25 Jul '25, counts as said3 times: Buyback / Buy Back, Q3’25 Oct '25, counts as said1 time: Buyback / Buy Back, Q4’25 Jan '26, counts as said2 times: Buyback / Buy Back, Q1’26 Apr '26, counts as said1 time: Buyback / Buy Back, Q2’26 Jul '26, counts as said3 times: Buyback / Buy Back, Q3’26 Oct '26, counts as saidsteady8/8100%0/80%49/7863%83%n=1+tx from settlement history blended with transcripts88¢ Kalshi
Inflation1 time: Inflation, Q4’24 Jan '25, counts as said1 time: Inflation, Q1’25 Apr '25, counts as said0 times: Inflation, Q2’25 Jul '257 times: Inflation, Q3’25 Oct '25, counts as said1 time: Inflation, Q4’25 Jan '26, counts as said0 times: Inflation, Q1’26 Apr '264 times: Inflation, Q2’26 Jul '26, counts as said4 times: Inflation, Q3’26 Oct '26, counts as saidrising6/875%4/850%27/7835%78%n=5+tx from settlement history blended with transcripts88¢ Kalshi
Credit Card1 time: Credit Card, Q4’24 Jan '25, counts as said0 times: Credit Card, Q1’25 Apr '250 times: Credit Card, Q2’25 Jul '251 time: Credit Card, Q3’25 Oct '25, counts as said3 times: Credit Card, Q4’25 Jan '26, counts as said0 times: Credit Card, Q1’26 Apr '263 times: Credit Card, Q2’26 Jul '26, counts as said1 time: Credit Card, Q3’26 Oct '26, counts as saidrising5/862%0/80%58/7874%71%n=3+tx from settlement history blended with transcripts74¢ Kalshi
Trading6 times: Trading, Q4’24 Jan '25, counts as said4 times: Trading, Q1’25 Apr '25, counts as said0 times: Trading, Q2’25 Jul '251 time: Trading, Q3’25 Oct '25, counts as said3 times: Trading, Q4’25 Jan '26, counts as said6 times: Trading, Q1’26 Apr '26, counts as said2 times: Trading, Q2’26 Jul '26, counts as said0 times: Trading, Q3’26 Oct '26falling6/875%3/838%63/7881%70%n=5+tx from settlement history blended with transcripts58¢ Kalshi
Agent / Agentic0 times: Agent / Agentic, Q4’24 Jan '250 times: Agent / Agentic, Q1’25 Apr '250 times: Agent / Agentic, Q2’25 Jul '250 times: Agent / Agentic, Q3’25 Oct '250 times: Agent / Agentic, Q4’25 Jan '260 times: Agent / Agentic, Q1’26 Apr '260 times: Agent / Agentic, Q2’26 Jul '2617 times: Agent / Agentic, Q3’26 Oct '26, counts as saidrising1/812%0/80%6/788%70%transcripts from the transcript model62¢ Kalshi
Hiring0 times: Hiring, Q4’24 Jan '251 time: Hiring, Q1’25 Apr '25, counts as said0 times: Hiring, Q2’25 Jul '251 time: Hiring, Q3’25 Oct '25, counts as said2 times: Hiring, Q4’25 Jan '26, counts as said0 times: Hiring, Q1’26 Apr '262 times: Hiring, Q2’26 Jul '26, counts as said1 time: Hiring, Q3’26 Oct '26, counts as saidrising5/862%3/838%21/7827%68%n=5+tx from settlement history blended with transcripts72¢ Kalshi
M&A / Merger1 time: M&A / Merger, Q4’24 Jan '25, counts as said2 times: M&A / Merger, Q1’25 Apr '25, counts as said1 time: M&A / Merger, Q2’25 Jul '25, counts as said2 times: M&A / Merger, Q3’25 Oct '25, counts as said0 times: M&A / Merger, Q4’25 Jan '264 times: M&A / Merger, Q1’26 Apr '26, counts as said2 times: M&A / Merger, Q2’26 Jul '26, counts as said0 times: M&A / Merger, Q3’26 Oct '26steady6/875%2/825%58/7874%59%n=3+tx from settlement history blended with transcripts58¢ Kalshi
Fintech0 times: Fintech, Q4’24 Jan '250 times: Fintech, Q1’25 Apr '254 times: Fintech, Q2’25 Jul '25, counts as said0 times: Fintech, Q3’25 Oct '251 time: Fintech, Q4’25 Jan '26, counts as said0 times: Fintech, Q1’26 Apr '261 time: Fintech, Q2’26 Jul '26, counts as said1 time: Fintech, Q3’26 Oct '26, counts as saidsteady4/850%0/80%15/7819%57%n=5+tx from settlement history blended with transcripts67¢ Kalshi
Regulation0 times: Regulation, Q4’24 Jan '258 times: Regulation, Q1’25 Apr '25, counts as said3 times: Regulation, Q2’25 Jul '25, counts as said0 times: Regulation, Q3’25 Oct '253 times: Regulation, Q4’25 Jan '26, counts as said1 time: Regulation, Q1’26 Apr '26, counts as said2 times: Regulation, Q2’26 Jul '26, counts as said0 times: Regulation, Q3’26 Oct '26falling5/862%0/80%24/7831%57%n=5+tx from settlement history blended with transcripts38¢ Kalshi
Apple0 times: Apple, Q4’24 Jan '250 times: Apple, Q1’25 Apr '250 times: Apple, Q2’25 Jul '250 times: Apple, Q3’25 Oct '258 times: Apple, Q4’25 Jan '26, counts as said0 times: Apple, Q1’26 Apr '261 time: Apple, Q2’26 Jul '26, counts as said0 times: Apple, Q3’26 Oct '26rising2/825%1/812%16/7821%46%n=1+tx from settlement history blended with transcripts25¢ Kalshi
Hike / Hiked0 times: Hike / Hiked, Q4’24 Jan '250 times: Hike / Hiked, Q1’25 Apr '250 times: Hike / Hiked, Q2’25 Jul '250 times: Hike / Hiked, Q3’25 Oct '250 times: Hike / Hiked, Q4’25 Jan '260 times: Hike / Hiked, Q1’26 Apr '260 times: Hike / Hiked, Q2’26 Jul '262 times: Hike / Hiked, Q3’26 Oct '26, counts as saidrising1/812%0/80%19/7824%46%n=1+tx from settlement history blended with transcripts74¢ Kalshi
Security and Resiliency0 times: Security and Resiliency, Q4’24 Jan '250 times: Security and Resiliency, Q1’25 Apr '250 times: Security and Resiliency, Q2’25 Jul '250 times: Security and Resiliency, Q3’25 Oct '250 times: Security and Resiliency, Q4’25 Jan '260 times: Security and Resiliency, Q1’26 Apr '260 times: Security and Resiliency, Q2’26 Jul '261 time: Security and Resiliency, Q3’26 Oct '26, counts as saidrising1/812%0/80%1/781%32%transcripts from the transcript model25¢ Kalshi
Geopolitical0 times: Geopolitical, Q4’24 Jan '251 time: Geopolitical, Q1’25 Apr '25, counts as said0 times: Geopolitical, Q2’25 Jul '250 times: Geopolitical, Q3’25 Oct '251 time: Geopolitical, Q4’25 Jan '26, counts as said1 time: Geopolitical, Q1’26 Apr '26, counts as said0 times: Geopolitical, Q2’26 Jul '260 times: Geopolitical, Q3’26 Oct '26steady3/838%0/80%10/7813%32%n=5+tx from settlement history blended with transcripts33¢ Kalshi
Crypto / Cryptocurrency / Bitcoin0 times: Crypto / Cryptocurrency / Bitcoin, Q4’24 Jan '250 times: Crypto / Cryptocurrency / Bitcoin, Q1’25 Apr '250 times: Crypto / Cryptocurrency / Bitcoin, Q2’25 Jul '250 times: Crypto / Cryptocurrency / Bitcoin, Q3’25 Oct '252 times: Crypto / Cryptocurrency / Bitcoin, Q4’25 Jan '26, counts as said0 times: Crypto / Cryptocurrency / Bitcoin, Q1’26 Apr '260 times: Crypto / Cryptocurrency / Bitcoin, Q2’26 Jul '260 times: Crypto / Cryptocurrency / Bitcoin, Q3’26 Oct '26steady1/812%0/80%1/781%24%n=1+tx from settlement history blended with transcripts10¢ Kalshi
Sapphire0 times: Sapphire, Q4’24 Jan '250 times: Sapphire, Q1’25 Apr '250 times: Sapphire, Q2’25 Jul '252 times: Sapphire, Q3’25 Oct '25, counts as said0 times: Sapphire, Q4’25 Jan '260 times: Sapphire, Q1’26 Apr '261 time: Sapphire, Q2’26 Jul '26, counts as said0 times: Sapphire, Q3’26 Oct '26steady2/825%2/825%18/7823%22%n=1+tx from settlement history blended with transcripts27¢ Kalshi
Rate Cut / Cut Rates0 times: Rate Cut / Cut Rates, Q4’24 Jan '250 times: Rate Cut / Cut Rates, Q1’25 Apr '250 times: Rate Cut / Cut Rates, Q2’25 Jul '250 times: Rate Cut / Cut Rates, Q3’25 Oct '252 times: Rate Cut / Cut Rates, Q4’25 Jan '26, counts as said0 times: Rate Cut / Cut Rates, Q1’26 Apr '260 times: Rate Cut / Cut Rates, Q2’26 Jul '260 times: Rate Cut / Cut Rates, Q3’26 Oct '26steady1/812%1/812%7/789%22%n=2+tx from settlement history blended with transcripts8¢ Kalshi
Blockchain0 times: Blockchain, Q4’24 Jan '250 times: Blockchain, Q1’25 Apr '250 times: Blockchain, Q2’25 Jul '250 times: Blockchain, Q3’25 Oct '251 time: Blockchain, Q4’25 Jan '26, counts as said0 times: Blockchain, Q1’26 Apr '260 times: Blockchain, Q2’26 Jul '260 times: Blockchain, Q3’26 Oct '26steady1/812%0/80%6/788%19%n=5+tx from settlement history blended with transcripts7¢ Kalshi
Tariff0 times: Tariff, Q4’24 Jan '259 times: Tariff, Q1’25 Apr '25, counts as said5 times: Tariff, Q2’25 Jul '25, counts as said2 times: Tariff, Q3’25 Oct '25, counts as said0 times: Tariff, Q4’25 Jan '260 times: Tariff, Q1’26 Apr '260 times: Tariff, Q2’26 Jul '260 times: Tariff, Q3’26 Oct '26falling3/838%0/80%3/784%17%n=5+tx from settlement history blended with transcripts12¢ 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

1–40 of 40, most settled first
JPMorgan: every word with settled markets, most settled first
WordQ4’24Jan '25Q1’25Apr '25Q2’25Jul '25Q3’25Oct '25Q4’25Jan '26Q1’26Apr '26Q2’26Jul '26Q3’26last callTrendLast 8ScriptedAll-timeProbability
Private Credit0 times: Private Credit, Q4’24 Jan '250 times: Private Credit, Q1’25 Apr '257 times: Private Credit, Q2’25 Jul '25, counts as said3 times: Private Credit, Q3’25 Oct '25, counts as said1 time: Private Credit, Q4’25 Jan '26, counts as said11 times: Private Credit, Q1’26 Apr '26, counts as said0 times: Private Credit, Q2’26 Jul '260 times: Private Credit, Q3’26 Oct '26steady4/850%0/80%11/7814%66%n=4+tx from settlement history blended with transcripts
Buyback2 times: Buyback, Q4’24 Jan '25, counts as said1 time: Buyback, Q1’25 Apr '25, counts as said2 times: Buyback, Q2’25 Jul '25, counts as said3 times: Buyback, Q3’25 Oct '25, counts as said1 time: Buyback, Q4’25 Jan '26, counts as said2 times: Buyback, Q1’26 Apr '26, counts as said1 time: Buyback, Q2’26 Jul '26, counts as said3 times: Buyback, Q3’26 Oct '26, counts as saidsteady8/8100%0/80%49/7863%76%n=4+tx from settlement history blended with transcripts
Recession0 times: Recession, Q4’24 Jan '258 times: Recession, Q1’25 Apr '25, counts as said0 times: Recession, Q2’25 Jul '250 times: Recession, Q3’25 Oct '251 time: Recession, Q4’25 Jan '26, counts as said3 times: Recession, Q1’26 Apr '26, counts as said0 times: Recession, Q2’26 Jul '260 times: Recession, Q3’26 Oct '26falling3/838%1/812%33/7842%44%n=4+tx from settlement history blended with transcripts
Crypto / Bitcoin0 times: Crypto / Bitcoin, Q4’24 Jan '250 times: Crypto / Bitcoin, Q1’25 Apr '250 times: Crypto / Bitcoin, Q2’25 Jul '250 times: Crypto / Bitcoin, Q3’25 Oct '252 times: Crypto / Bitcoin, Q4’25 Jan '26, counts as said0 times: Crypto / Bitcoin, Q1’26 Apr '260 times: Crypto / Bitcoin, Q2’26 Jul '260 times: Crypto / Bitcoin, Q3’26 Oct '26steady1/812%0/80%1/781%25%n=4+tx from settlement history blended with transcripts
Basel 31 time: Basel 3, Q4’24 Jan '25, counts as said2 times: Basel 3, Q1’25 Apr '25, counts as said2 times: Basel 3, Q2’25 Jul '25, counts as said0 times: Basel 3, Q3’25 Oct '250 times: Basel 3, Q4’25 Jan '262 times: Basel 3, Q1’26 Apr '26, counts as said0 times: Basel 3, Q2’26 Jul '261 time: Basel 3, Q3’26 Oct '26, counts as saidfalling5/862%1/812%36/7846%52%n=2+tx from settlement history blended with transcripts
M&A1 time: M&A, Q4’24 Jan '25, counts as said2 times: M&A, Q1’25 Apr '25, counts as said1 time: M&A, Q2’25 Jul '25, counts as said2 times: M&A, Q3’25 Oct '25, counts as said0 times: M&A, Q4’25 Jan '263 times: M&A, Q1’26 Apr '26, counts as said3 times: M&A, Q2’26 Jul '26, counts as said0 times: M&A, Q3’26 Oct '26steady6/875%2/825%53/7868%57%n=2+tx from settlement history blended with transcripts
AI / Artificial Intelligence0 times: AI / Artificial Intelligence, Q4’24 Jan '252 times: AI / Artificial Intelligence, Q1’25 Apr '25, counts as said2 times: AI / Artificial Intelligence, Q2’25 Jul '25, counts as said9 times: AI / Artificial Intelligence, Q3’25 Oct '25, counts as said8 times: AI / Artificial Intelligence, Q4’25 Jan '26, counts as said13 times: AI / Artificial Intelligence, Q1’26 Apr '26, counts as said24 times: AI / Artificial Intelligence, Q2’26 Jul '26, counts as said21 times: AI / Artificial Intelligence, Q3’26 Oct '26, counts as saidrising7/888%0/80%25/7832%95%n=1+tx from settlement history blended with transcripts
AI / Artificial Intelligence5+ times0 times: AI / Artificial Intelligence 5+ times, Q4’24 Jan '252 times: AI / Artificial Intelligence 5+ times, Q1’25 Apr '25, below the threshold2 times: AI / Artificial Intelligence 5+ times, Q2’25 Jul '25, below the threshold9 times: AI / Artificial Intelligence 5+ times, Q3’25 Oct '25, counts as said8 times: AI / Artificial Intelligence 5+ times, Q4’25 Jan '26, counts as said13 times: AI / Artificial Intelligence 5+ times, Q1’26 Apr '26, counts as said24 times: AI / Artificial Intelligence 5+ times, Q2’26 Jul '26, counts as said21 times: AI / Artificial Intelligence 5+ times, Q3’26 Oct '26, counts as saidrising5/862%0/80%8/7810%79%n=1+tx from settlement history blended with transcripts
Private / Credit16 times: Private / Credit, Q4’24 Jan '25, counts as said18 times: Private / Credit, Q1’25 Apr '25, counts as said32 times: Private / Credit, Q2’25 Jul '25, counts as said35 times: Private / Credit, Q3’25 Oct '25, counts as said23 times: Private / Credit, Q4’25 Jan '26, counts as said71 times: Private / Credit, Q1’26 Apr '26, counts as said15 times: Private / Credit, Q2’26 Jul '26, counts as said16 times: Private / Credit, Q3’26 Oct '26, counts as saidsteady8/8100%8/8100%77/7899%97%n=1+tx from settlement history blended with transcripts
Fraud0 times: Fraud, Q4’24 Jan '250 times: Fraud, Q1’25 Apr '252 times: Fraud, Q2’25 Jul '25, counts as said2 times: Fraud, Q3’25 Oct '25, counts as said2 times: Fraud, Q4’25 Jan '26, counts as said1 time: Fraud, Q1’26 Apr '26, counts as said1 time: Fraud, Q2’26 Jul '26, counts as said1 time: Fraud, Q3’26 Oct '26, counts as saidrising6/875%2/825%18/7823%70%n=1+tx from settlement history blended with transcripts
Invest / Investment5+ times18 times: Invest / Investment 5+ times, Q4’24 Jan '25, counts as said19 times: Invest / Investment 5+ times, Q1’25 Apr '25, counts as said10 times: Invest / Investment 5+ times, Q2’25 Jul '25, counts as said9 times: Invest / Investment 5+ times, Q3’25 Oct '25, counts as said19 times: Invest / Investment 5+ times, Q4’25 Jan '26, counts as said10 times: Invest / Investment 5+ times, Q1’26 Apr '26, counts as said23 times: Invest / Investment 5+ times, Q2’26 Jul '26, counts as said12 times: Invest / Investment 5+ times, Q3’26 Oct '26, counts as saidsteady8/8100%3/838%77/7899%86%n=1+tx from settlement history blended with transcripts
Leverage0 times: Leverage, Q4’24 Jan '250 times: Leverage, Q1’25 Apr '251 time: Leverage, Q2’25 Jul '25, counts as said2 times: Leverage, Q3’25 Oct '25, counts as said4 times: Leverage, Q4’25 Jan '26, counts as said6 times: Leverage, Q1’26 Apr '26, counts as said11 times: Leverage, Q2’26 Jul '26, counts as said3 times: Leverage, Q3’26 Oct '26, counts as saidrising6/875%0/80%58/7874%88%n=1+tx from settlement history blended with transcripts
Loan18 times: Loan, Q4’24 Jan '25, counts as said13 times: Loan, Q1’25 Apr '25, counts as said13 times: Loan, Q2’25 Jul '25, counts as said11 times: Loan, Q3’25 Oct '25, counts as said13 times: Loan, Q4’25 Jan '26, counts as said27 times: Loan, Q1’26 Apr '26, counts as said6 times: Loan, Q2’26 Jul '26, counts as said3 times: Loan, Q3’26 Oct '26, counts as saidfalling8/8100%6/875%77/7899%96%n=1+tx from settlement history blended with transcripts
Margin11 times: Margin, Q4’24 Jan '25, counts as said10 times: Margin, Q1’25 Apr '25, counts as said10 times: Margin, Q2’25 Jul '25, counts as said6 times: Margin, Q3’25 Oct '25, counts as said10 times: Margin, Q4’25 Jan '26, counts as said10 times: Margin, Q1’26 Apr '26, counts as said9 times: Margin, Q2’26 Jul '26, counts as said7 times: Margin, Q3’26 Oct '26, counts as saidsteady8/8100%8/8100%77/7899%94%n=1+tx from settlement history blended with transcripts
Money5+ times1 time: Money 5+ times, Q4’24 Jan '25, below the threshold3 times: Money 5+ times, Q1’25 Apr '25, below the threshold6 times: Money 5+ times, Q2’25 Jul '25, counts as said2 times: Money 5+ times, Q3’25 Oct '25, below the threshold10 times: Money 5+ times, Q4’25 Jan '26, counts as said10 times: Money 5+ times, Q1’26 Apr '26, counts as said10 times: Money 5+ times, Q2’26 Jul '26, counts as said7 times: Money 5+ times, Q3’26 Oct '26, counts as saidrising5/862%0/80%34/7844%71%n=1+tx from settlement history blended with transcripts
Mortgage2 times: Mortgage, Q4’24 Jan '25, counts as said3 times: Mortgage, Q1’25 Apr '25, counts as said2 times: Mortgage, Q2’25 Jul '25, counts as said7 times: Mortgage, Q3’25 Oct '25, counts as said2 times: Mortgage, Q4’25 Jan '26, counts as said3 times: Mortgage, Q1’26 Apr '26, counts as said1 time: Mortgage, Q2’26 Jul '26, counts as said1 time: Mortgage, Q3’26 Oct '26, counts as saidfalling8/8100%0/80%73/7894%82%n=1+tx from settlement history blended with transcripts
Quarter15+ times22 times: Quarter 15+ times, Q4’24 Jan '25, counts as said42 times: Quarter 15+ times, Q1’25 Apr '25, counts as said40 times: Quarter 15+ times, Q2’25 Jul '25, counts as said34 times: Quarter 15+ times, Q3’25 Oct '25, counts as said22 times: Quarter 15+ times, Q4’25 Jan '26, counts as said41 times: Quarter 15+ times, Q1’26 Apr '26, counts as said31 times: Quarter 15+ times, Q2’26 Jul '26, counts as said30 times: Quarter 15+ times, Q3’26 Oct '26, counts as saidsteady8/8100%3/838%77/7899%82%n=1+tx from settlement history blended with transcripts
Revenue10+ times22 times: Revenue 10+ times, Q4’24 Jan '25, counts as said21 times: Revenue 10+ times, Q1’25 Apr '25, counts as said26 times: Revenue 10+ times, Q2’25 Jul '25, counts as said17 times: Revenue 10+ times, Q3’25 Oct '25, counts as said23 times: Revenue 10+ times, Q4’25 Jan '26, counts as said14 times: Revenue 10+ times, Q1’26 Apr '26, counts as said25 times: Revenue 10+ times, Q2’26 Jul '26, counts as said16 times: Revenue 10+ times, Q3’26 Oct '26, counts as saidsteady8/8100%7/888%77/7899%81%n=1+tx from settlement history blended with transcripts
Risk7 times: Risk, Q4’24 Jan '25, counts as said14 times: Risk, Q1’25 Apr '25, counts as said14 times: Risk, Q2’25 Jul '25, counts as said24 times: Risk, Q3’25 Oct '25, counts as said16 times: Risk, Q4’25 Jan '26, counts as said42 times: Risk, Q1’26 Apr '26, counts as said21 times: Risk, Q2’26 Jul '26, counts as said17 times: Risk, Q3’26 Oct '26, counts as saidrising8/8100%4/850%76/7897%97%n=1+tx from settlement history blended with transcripts
Wholesale3+ times4 times: Wholesale 3+ times, Q4’24 Jan '25, counts as said12 times: Wholesale 3+ times, Q1’25 Apr '25, counts as said4 times: Wholesale 3+ times, Q2’25 Jul '25, counts as said13 times: Wholesale 3+ times, Q3’25 Oct '25, counts as said16 times: Wholesale 3+ times, Q4’25 Jan '26, counts as said12 times: Wholesale 3+ times, Q1’26 Apr '26, counts as said9 times: Wholesale 3+ times, Q2’26 Jul '26, counts as said10 times: Wholesale 3+ times, Q3’26 Oct '26, counts as saidrising8/8100%1/812%52/7867%89%n=1+tx from settlement history blended with transcripts
Bitcoinnever said0 times: Bitcoin, Q4’24 Jan '250 times: Bitcoin, Q1’25 Apr '250 times: Bitcoin, Q2’25 Jul '250 times: Bitcoin, Q3’25 Oct '250 times: Bitcoin, Q4’25 Jan '260 times: Bitcoin, Q1’26 Apr '260 times: Bitcoin, Q2’26 Jul '260 times: Bitcoin, Q3’26 Oct '26steady0/80%0/80%0/780%12%n=1+tx from settlement history blended with transcripts
Bond Crisisnever said0 times: Bond Crisis, Q4’24 Jan '250 times: Bond Crisis, Q1’25 Apr '250 times: Bond Crisis, Q2’25 Jul '250 times: Bond Crisis, Q3’25 Oct '250 times: Bond Crisis, Q4’25 Jan '260 times: Bond Crisis, Q1’26 Apr '260 times: Bond Crisis, Q2’26 Jul '260 times: Bond Crisis, Q3’26 Oct '26steady0/80%0/80%0/780%12%n=1+tx from settlement history blended with transcripts
Churn0 times: Churn, Q4’24 Jan '250 times: Churn, Q1’25 Apr '250 times: Churn, Q2’25 Jul '250 times: Churn, Q3’25 Oct '250 times: Churn, Q4’25 Jan '260 times: Churn, Q1’26 Apr '260 times: Churn, Q2’26 Jul '260 times: Churn, Q3’26 Oct '26steady0/80%0/80%3/784%12%n=1+tx from settlement history blended with transcripts
Clarity Actnever said0 times: Clarity Act, Q4’24 Jan '250 times: Clarity Act, Q1’25 Apr '250 times: Clarity Act, Q2’25 Jul '250 times: Clarity Act, Q3’25 Oct '250 times: Clarity Act, Q4’25 Jan '260 times: Clarity Act, Q1’26 Apr '260 times: Clarity Act, Q2’26 Jul '260 times: Clarity Act, Q3’26 Oct '26steady0/80%0/80%0/780%11%n=1+tx from settlement history blended with transcripts
Coinbase0 times: Coinbase, Q4’24 Jan '250 times: Coinbase, Q1’25 Apr '250 times: Coinbase, Q2’25 Jul '250 times: Coinbase, Q3’25 Oct '251 time: Coinbase, Q4’25 Jan '26, counts as said0 times: Coinbase, Q1’26 Apr '260 times: Coinbase, Q2’26 Jul '260 times: Coinbase, Q3’26 Oct '26steady1/812%0/80%1/781%22%n=1+tx from settlement history blended with transcripts
Cyber1 time: Cyber, Q4’24 Jan '25, counts as said0 times: Cyber, Q1’25 Apr '250 times: Cyber, Q2’25 Jul '251 time: Cyber, Q3’25 Oct '25, counts as said0 times: Cyber, Q4’25 Jan '2611 times: Cyber, Q1’26 Apr '26, counts as said0 times: Cyber, Q2’26 Jul '260 times: Cyber, Q3’26 Oct '26rising3/838%0/80%10/7813%54%n=1+tx from settlement history blended with transcripts
Disruption0 times: Disruption, Q4’24 Jan '250 times: Disruption, Q1’25 Apr '250 times: Disruption, Q2’25 Jul '250 times: Disruption, Q3’25 Oct '251 time: Disruption, Q4’25 Jan '26, counts as said0 times: Disruption, Q1’26 Apr '260 times: Disruption, Q2’26 Jul '262 times: Disruption, Q3’26 Oct '26, counts as saidrising2/825%0/80%9/7812%39%n=1+tx from settlement history blended with transcripts
Dollar10+ times63 times: Dollar 10+ times, Q4’24 Jan '25, counts as said66 times: Dollar 10+ times, Q1’25 Apr '25, counts as said47 times: Dollar 10+ times, Q2’25 Jul '25, counts as said32 times: Dollar 10+ times, Q3’25 Oct '25, counts as said46 times: Dollar 10+ times, Q4’25 Jan '26, counts as said53 times: Dollar 10+ times, Q1’26 Apr '26, counts as said42 times: Dollar 10+ times, Q2’26 Jul '26, counts as said43 times: Dollar 10+ times, Q3’26 Oct '26, counts as saidsteady8/8100%8/8100%77/7899%82%n=1+tx from settlement history blended with transcripts
Hike0 times: Hike, Q4’24 Jan '250 times: Hike, Q1’25 Apr '250 times: Hike, Q2’25 Jul '250 times: Hike, Q3’25 Oct '250 times: Hike, Q4’25 Jan '260 times: Hike, Q1’26 Apr '260 times: Hike, Q2’26 Jul '262 times: Hike, Q3’26 Oct '26, counts as saidrising1/812%0/80%19/7824%31%n=1+tx from settlement history blended with transcripts
Housing0 times: Housing, Q4’24 Jan '250 times: Housing, Q1’25 Apr '250 times: Housing, Q2’25 Jul '252 times: Housing, Q3’25 Oct '25, counts as said1 time: Housing, Q4’25 Jan '26, counts as said0 times: Housing, Q1’26 Apr '262 times: Housing, Q2’26 Jul '26, counts as said0 times: Housing, Q3’26 Oct '26rising3/838%0/80%32/7841%33%n=1+tx from settlement history blended with transcripts
Lawsuit2 times: Lawsuit, Q4’24 Jan '25, counts as said0 times: Lawsuit, Q1’25 Apr '250 times: Lawsuit, Q2’25 Jul '250 times: Lawsuit, Q3’25 Oct '250 times: Lawsuit, Q4’25 Jan '260 times: Lawsuit, Q1’26 Apr '260 times: Lawsuit, Q2’26 Jul '260 times: Lawsuit, Q3’26 Oct '26falling1/812%0/80%4/785%15%n=1+tx from settlement history blended with transcripts
Million10+ times11 times: Million 10+ times, Q4’24 Jan '25, counts as said19 times: Million 10+ times, Q1’25 Apr '25, counts as said10 times: Million 10+ times, Q2’25 Jul '25, counts as said4 times: Million 10+ times, Q3’25 Oct '25, below the threshold6 times: Million 10+ times, Q4’25 Jan '26, below the threshold3 times: Million 10+ times, Q1’26 Apr '26, below the threshold4 times: Million 10+ times, Q2’26 Jul '26, below the threshold5 times: Million 10+ times, Q3’26 Oct '26, below the thresholdfalling3/838%3/838%72/7892%19%n=1+tx from settlement history blended with transcripts
Monetize0 times: Monetize, Q4’24 Jan '250 times: Monetize, Q1’25 Apr '250 times: Monetize, Q2’25 Jul '250 times: Monetize, Q3’25 Oct '250 times: Monetize, Q4’25 Jan '260 times: Monetize, Q1’26 Apr '260 times: Monetize, Q2’26 Jul '260 times: Monetize, Q3’26 Oct '26steady0/80%0/80%8/7810%12%n=1+tx from settlement history blended with transcripts
Pivot1 time: Pivot, Q4’24 Jan '25, counts as said0 times: Pivot, Q1’25 Apr '250 times: Pivot, Q2’25 Jul '250 times: Pivot, Q3’25 Oct '253 times: Pivot, Q4’25 Jan '26, counts as said1 time: Pivot, Q1’26 Apr '26, counts as said0 times: Pivot, Q2’26 Jul '260 times: Pivot, Q3’26 Oct '26steady3/838%1/812%8/7810%37%n=1+tx from settlement history blended with transcripts
Prediction0 times: Prediction, Q4’24 Jan '250 times: Prediction, Q1’25 Apr '250 times: Prediction, Q2’25 Jul '250 times: Prediction, Q3’25 Oct '250 times: Prediction, Q4’25 Jan '260 times: Prediction, Q1’26 Apr '260 times: Prediction, Q2’26 Jul '261 time: Prediction, Q3’26 Oct '26, counts as saidrising1/812%0/80%7/789%26%n=1+tx from settlement history blended with transcripts
Real Estate1 time: Real Estate, Q4’24 Jan '25, counts as said0 times: Real Estate, Q1’25 Apr '250 times: Real Estate, Q2’25 Jul '250 times: Real Estate, Q3’25 Oct '252 times: Real Estate, Q4’25 Jan '26, counts as said0 times: Real Estate, Q1’26 Apr '261 time: Real Estate, Q2’26 Jul '26, counts as said0 times: Real Estate, Q3’26 Oct '26steady3/838%1/812%65/7883%33%n=1+tx from settlement history blended with transcripts
Reduction0 times: Reduction, Q4’24 Jan '254 times: Reduction, Q1’25 Apr '25, counts as said0 times: Reduction, Q2’25 Jul '250 times: Reduction, Q3’25 Oct '250 times: Reduction, Q4’25 Jan '263 times: Reduction, Q1’26 Apr '26, counts as said1 time: Reduction, Q2’26 Jul '26, counts as said0 times: Reduction, Q3’26 Oct '26falling3/838%2/825%57/7873%37%n=1+tx from settlement history blended with transcripts
Stakeholder0 times: Stakeholder, Q4’24 Jan '250 times: Stakeholder, Q1’25 Apr '250 times: Stakeholder, Q2’25 Jul '250 times: Stakeholder, Q3’25 Oct '250 times: Stakeholder, Q4’25 Jan '260 times: Stakeholder, Q1’26 Apr '260 times: Stakeholder, Q2’26 Jul '260 times: Stakeholder, Q3’26 Oct '26steady0/80%0/80%2/783%12%n=1+tx from settlement history blended with transcripts
Synergy0 times: Synergy, Q4’24 Jan '250 times: Synergy, Q1’25 Apr '250 times: Synergy, Q2’25 Jul '250 times: Synergy, Q3’25 Oct '250 times: Synergy, Q4’25 Jan '260 times: Synergy, Q1’26 Apr '260 times: Synergy, Q2’26 Jul '260 times: Synergy, Q3’26 Oct '26steady0/80%0/80%3/784%12%n=1+tx from settlement history blended with transcripts
Trumpnever said0 times: Trump, Q4’24 Jan '250 times: Trump, Q1’25 Apr '250 times: Trump, Q2’25 Jul '250 times: Trump, Q3’25 Oct '250 times: Trump, Q4’25 Jan '260 times: Trump, Q1’26 Apr '260 times: Trump, Q2’26 Jul '260 times: Trump, Q3’26 Oct '26steady0/80%0/80%0/780%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 119 of 123 settled words resolved (96.7%). How we check.

Recent appearances and how their listed words settled
DateAppearanceTextWordsSettledOur count agreed
Oct 13, 2026Earnings call FY26 Q3Speaker-labelled transcript3014 yes · 16 no30/30 (100%)
Jul 14, 2026Earnings call FY26 Q2Speaker-labelled transcript3814 yes · 24 no36/38 (95%)
Apr 14, 2026Earnings call FY26 Q1Speaker-labelled transcript158 yes · 7 no15/15 (100%)
Jan 13, 2026Earnings call FY25 Q4Speaker-labelled transcript2620 yes · 6 no24/26 (92%)
Oct 14, 2025Earnings call FY25 Q3Speaker-labelled transcript147 yes · 7 no14/14 (100%)
Jul 15, 2025Earnings call FY25 Q2Speaker-labelled transcript0––
Apr 11, 2025Earnings call FY25 Q1Speaker-labelled transcript0––
Jan 15, 2025Earnings call FY24 Q4Speaker-labelled transcript0––
Oct 11, 2024Earnings call FY24 Q3Speaker-labelled transcript0––
Jul 12, 2024Earnings call FY24 Q2Speaker-labelled transcript0––
Apr 12, 2024Earnings call FY24 Q1Speaker-labelled transcript0––
Jan 12, 2024Earnings call FY23 Q4Speaker-labelled transcript0––

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

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