Eli Lilly (LLY)

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As of Oct 23, 2026, Kalshi and Polymarket have settled 51 word markets on Eli Lilly’s earnings calls since 2026, on 25 different words. Next call: Oct 29, 2026 (17 words listed).

“Foundayo” on the Aug 5 call · 2:14 · said 24 times. Play the clip

Next: Earnings call ·

17 words listed · Occasion page

Who counts: Kalshi: company speakers + operator

Kalshi

Eli Lilly: the words listed for Thu, Oct 29, how often each was said on past occasions, and the probability for this one
WordQ3’24Oct '24Q4’24Feb '25Q1’25May '25Q2’25Aug '25Q3’25year agoQ4’25Feb '26Q1’26Apr '26Q2’26last callTrendLast 8ScriptedAll-timeProbabilityMarket
Foundayo0 times: Foundayo, Q3’24 Oct '240 times: Foundayo, Q4’24 Feb '250 times: Foundayo, Q1’25 May '250 times: Foundayo, Q2’25 Aug '250 times: Foundayo, Q3’25 Oct '250 times: Foundayo, Q4’25 Feb '2626 times: Foundayo, Q1’26 Apr '26, counts as said24 times: Foundayo, Q2’26 Aug '26, counts as saidrising2/825%2/825%2/773%91%n=2+tx from settlement history blended with transcripts94¢ Kalshi
LillyDirect5 times: LillyDirect, Q3’24 Oct '24, counts as said3 times: LillyDirect, Q4’24 Feb '25, counts as said2 times: LillyDirect, Q1’25 May '25, counts as said8 times: LillyDirect, Q2’25 Aug '25, counts as said2 times: LillyDirect, Q3’25 Oct '25, counts as said4 times: LillyDirect, Q4’25 Feb '26, counts as said5 times: LillyDirect, Q1’26 Apr '26, counts as said4 times: LillyDirect, Q2’26 Aug '26, counts as saidsteady8/8100%3/838%10/7713%91%n=3+tx from settlement history blended with transcripts80¢ Kalshi
Alzheimer5 times: Alzheimer, Q3’24 Oct '24, counts as said2 times: Alzheimer, Q4’24 Feb '25, counts as said3 times: Alzheimer, Q1’25 May '25, counts as said0 times: Alzheimer, Q2’25 Aug '259 times: Alzheimer, Q3’25 Oct '25, counts as said5 times: Alzheimer, Q4’25 Feb '26, counts as said1 time: Alzheimer, Q1’26 Apr '26, counts as said1 time: Alzheimer, Q2’26 Aug '26, counts as saidfalling7/888%6/875%67/7787%88%n=2+tx from settlement history blended with transcripts86¢ Kalshi
Inluriyo0 times: Inluriyo, Q3’24 Oct '240 times: Inluriyo, Q4’24 Feb '250 times: Inluriyo, Q1’25 May '250 times: Inluriyo, Q2’25 Aug '252 times: Inluriyo, Q3’25 Oct '25, counts as said2 times: Inluriyo, Q4’25 Feb '26, counts as said1 time: Inluriyo, Q1’26 Apr '26, counts as said5 times: Inluriyo, Q2’26 Aug '26, counts as saidrising4/850%4/850%4/775%79%n=3+tx from settlement history blended with transcripts87¢ Kalshi
Jaypirca3 times: Jaypirca, Q3’24 Oct '24, counts as said6 times: Jaypirca, Q4’24 Feb '25, counts as said4 times: Jaypirca, Q1’25 May '25, counts as said2 times: Jaypirca, Q2’25 Aug '25, counts as said2 times: Jaypirca, Q3’25 Oct '25, counts as said0 times: Jaypirca, Q4’25 Feb '264 times: Jaypirca, Q1’26 Apr '26, counts as said3 times: Jaypirca, Q2’26 Aug '26, counts as saidfalling7/888%7/888%13/7717%76%transcripts from the transcript model90¢ Kalshi
Vial5 times: Vial, Q3’24 Oct '24, counts as said2 times: Vial, Q4’24 Feb '25, counts as said6 times: Vial, Q1’25 May '25, counts as said9 times: Vial, Q2’25 Aug '25, counts as said2 times: Vial, Q3’25 Oct '25, counts as said4 times: Vial, Q4’25 Feb '26, counts as said1 time: Vial, Q1’26 Apr '26, counts as said0 times: Vial, Q2’26 Aug '26falling7/888%6/875%17/7722%65%n=3+tx from settlement history blended with transcripts70¢ Kalshi
Omvoh3 times: Omvoh, Q3’24 Oct '24, counts as said5 times: Omvoh, Q4’24 Feb '25, counts as said3 times: Omvoh, Q1’25 May '25, counts as said2 times: Omvoh, Q2’25 Aug '25, counts as said1 time: Omvoh, Q3’25 Oct '25, counts as said0 times: Omvoh, Q4’25 Feb '261 time: Omvoh, Q1’26 Apr '26, counts as said0 times: Omvoh, Q2’26 Aug '26falling6/875%6/875%10/7713%45%transcripts from the transcript model56¢ Kalshi
Ventyx0 times: Ventyx, Q3’24 Oct '240 times: Ventyx, Q4’24 Feb '250 times: Ventyx, Q1’25 May '250 times: Ventyx, Q2’25 Aug '250 times: Ventyx, Q3’25 Oct '251 time: Ventyx, Q4’25 Feb '26, counts as said1 time: Ventyx, Q1’26 Apr '26, counts as said0 times: Ventyx, Q2’26 Aug '26rising2/825%2/825%2/773%34%n=3+tx from settlement history blended with transcripts10¢ Kalshi
AI / Artificial Intelligence0 times: AI / Artificial Intelligence, Q3’24 Oct '240 times: AI / Artificial Intelligence, Q4’24 Feb '250 times: AI / Artificial Intelligence, Q1’25 May '250 times: AI / Artificial Intelligence, Q2’25 Aug '251 time: AI / Artificial Intelligence, Q3’25 Oct '25, counts as said2 times: AI / Artificial Intelligence, Q4’25 Feb '26, counts as said0 times: AI / Artificial Intelligence, Q1’26 Apr '260 times: AI / Artificial Intelligence, Q2’26 Aug '26rising2/825%2/825%6/778%33%n=3+tx from settlement history blended with transcripts34¢ Kalshi
Headwind1 time: Headwind, Q3’24 Oct '24, counts as said1 time: Headwind, Q4’24 Feb '25, counts as said0 times: Headwind, Q1’25 May '251 time: Headwind, Q2’25 Aug '25, counts as said0 times: Headwind, Q3’25 Oct '250 times: Headwind, Q4’25 Feb '261 time: Headwind, Q1’26 Apr '26, counts as said0 times: Headwind, Q2’26 Aug '26falling4/850%3/838%49/7764%32%n=2+tx from settlement history blended with transcripts44¢ Kalshi
China5+ times1 time: China (5+ times), Q3’24 Oct '24, below the threshold3 times: China (5+ times), Q4’24 Feb '25, below the threshold2 times: China (5+ times), Q1’25 May '25, below the threshold2 times: China (5+ times), Q2’25 Aug '25, below the threshold2 times: China (5+ times), Q3’25 Oct '25, below the threshold5 times: China (5+ times), Q4’25 Feb '26, counts as said4 times: China (5+ times), Q1’26 Apr '26, below the threshold4 times: China (5+ times), Q2’26 Aug '26, below the thresholdrising1/812%0/80%16/7721%28%transcripts from the transcript model16¢ Kalshi
Nvidia0 times: Nvidia, Q3’24 Oct '240 times: Nvidia, Q4’24 Feb '250 times: Nvidia, Q1’25 May '250 times: Nvidia, Q2’25 Aug '250 times: Nvidia, Q3’25 Oct '252 times: Nvidia, Q4’25 Feb '26, counts as said0 times: Nvidia, Q1’26 Apr '260 times: Nvidia, Q2’26 Aug '26rising1/812%1/812%1/771%26%n=3+tx from settlement history blended with transcripts12¢ Kalshi
Novo Nordisk0 times: Novo Nordisk, Q3’24 Oct '240 times: Novo Nordisk, Q4’24 Feb '250 times: Novo Nordisk, Q1’25 May '250 times: Novo Nordisk, Q2’25 Aug '250 times: Novo Nordisk, Q3’25 Oct '250 times: Novo Nordisk, Q4’25 Feb '261 time: Novo Nordisk, Q1’26 Apr '26, counts as said0 times: Novo Nordisk, Q2’26 Aug '26steady1/812%0/80%3/774%20%n=1+tx from settlement history blended with transcripts6¢ Kalshi
Tailwind4 times: Tailwind, Q3’24 Oct '24, counts as said1 time: Tailwind, Q4’24 Feb '25, counts as said0 times: Tailwind, Q1’25 May '251 time: Tailwind, Q2’25 Aug '25, counts as said0 times: Tailwind, Q3’25 Oct '250 times: Tailwind, Q4’25 Feb '260 times: Tailwind, Q1’26 Apr '260 times: Tailwind, Q2’26 Aug '26falling3/838%3/838%14/7718%17%n=2+tx from settlement history blended with transcripts30¢ Kalshi
ESMO0 times: ESMO, Q3’24 Oct '240 times: ESMO, Q4’24 Feb '250 times: ESMO, Q1’25 May '250 times: ESMO, Q2’25 Aug '250 times: ESMO, Q3’25 Oct '250 times: ESMO, Q4’25 Feb '260 times: ESMO, Q1’26 Apr '260 times: ESMO, Q2’26 Aug '26steady0/80%0/80%7/779%16%transcripts from the transcript model45¢ Kalshi
Tariff0 times: Tariff, Q3’24 Oct '240 times: Tariff, Q4’24 Feb '2510 times: Tariff, Q1’25 May '25, counts as said2 times: Tariff, Q2’25 Aug '25, counts as said0 times: Tariff, Q3’25 Oct '250 times: Tariff, Q4’25 Feb '260 times: Tariff, Q1’26 Apr '260 times: Tariff, Q2’26 Aug '26falling2/825%2/825%2/773%16%n=2+tx from settlement history blended with transcripts34¢ Kalshi
Pennsylvania0 times: Pennsylvania, Q3’24 Oct '240 times: Pennsylvania, Q4’24 Feb '250 times: Pennsylvania, Q1’25 May '250 times: Pennsylvania, Q2’25 Aug '250 times: Pennsylvania, Q3’25 Oct '250 times: Pennsylvania, Q4’25 Feb '260 times: Pennsylvania, Q1’26 Apr '260 times: Pennsylvania, Q2’26 Aug '26steady0/80%0/80%2/773%10%n=3+tx from settlement history blended with transcripts14¢ 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

1–12 of 12, most settled first
Eli Lilly: every word with settled markets, most settled first
WordQ3’24Oct '24Q4’24Feb '25Q1’25May '25Q2’25Aug '25Q3’25Oct '25Q4’25Feb '26Q1’26Apr '26Q2’26last callTrendLast 8ScriptedAll-timeProbability
China1 time: China, Q3’24 Oct '24, counts as said3 times: China, Q4’24 Feb '25, counts as said2 times: China, Q1’25 May '25, counts as said2 times: China, Q2’25 Aug '25, counts as said2 times: China, Q3’25 Oct '25, counts as said5 times: China, Q4’25 Feb '26, counts as said4 times: China, Q1’26 Apr '26, counts as said4 times: China, Q2’26 Aug '26, counts as saidrising8/8100%8/8100%60/7778%91%n=3+tx from settlement history blended with transcripts
Walmart0 times: Walmart, Q3’24 Oct '240 times: Walmart, Q4’24 Feb '250 times: Walmart, Q1’25 May '250 times: Walmart, Q2’25 Aug '251 time: Walmart, Q3’25 Oct '25, counts as said0 times: Walmart, Q4’25 Feb '260 times: Walmart, Q1’26 Apr '260 times: Walmart, Q2’26 Aug '26steady1/812%0/80%4/775%18%n=3+tx from settlement history blended with transcripts
Impactevery call23 times: Impact, Q3’24 Oct '24, counts as said3 times: Impact, Q4’24 Feb '25, counts as said6 times: Impact, Q1’25 May '25, counts as said13 times: Impact, Q2’25 Aug '25, counts as said9 times: Impact, Q3’25 Oct '25, counts as said10 times: Impact, Q4’25 Feb '26, counts as said7 times: Impact, Q1’26 Apr '26, counts as said2 times: Impact, Q2’26 Aug '26, counts as saidfalling8/8100%7/888%77/77100%93%n=1+tx from settlement history blended with transcripts
Medicare / Medicaid7 times: Medicare / Medicaid, Q3’24 Oct '24, counts as said6 times: Medicare / Medicaid, Q4’24 Feb '25, counts as said4 times: Medicare / Medicaid, Q1’25 May '25, counts as said1 time: Medicare / Medicaid, Q2’25 Aug '25, counts as said1 time: Medicare / Medicaid, Q3’25 Oct '25, counts as said15 times: Medicare / Medicaid, Q4’25 Feb '26, counts as said9 times: Medicare / Medicaid, Q1’26 Apr '26, counts as said5 times: Medicare / Medicaid, Q2’26 Aug '26, counts as saidrising8/8100%6/875%52/7768%93%n=1+tx from settlement history blended with transcripts
Medicare5 times: Medicare, Q3’24 Oct '24, counts as said5 times: Medicare, Q4’24 Feb '25, counts as said1 time: Medicare, Q1’25 May '25, counts as said2 times: Medicare, Q2’25 Aug '25, counts as said1 time: Medicare, Q3’25 Oct '25, counts as said12 times: Medicare, Q4’25 Feb '26, counts as said9 times: Medicare, Q1’26 Apr '26, counts as said6 times: Medicare, Q2’26 Aug '26, counts as saidrising8/8100%6/875%46/7760%93%n=1+tx from settlement history blended with transcripts
Mounjaro25 times: Mounjaro, Q3’24 Oct '24, counts as said22 times: Mounjaro, Q4’24 Feb '25, counts as said11 times: Mounjaro, Q1’25 May '25, counts as said17 times: Mounjaro, Q2’25 Aug '25, counts as said13 times: Mounjaro, Q3’25 Oct '25, counts as said13 times: Mounjaro, Q4’25 Feb '26, counts as said29 times: Mounjaro, Q1’26 Apr '26, counts as said17 times: Mounjaro, Q2’26 Aug '26, counts as saidsteady8/8100%8/8100%17/7722%97%n=1+tx from settlement history blended with transcripts
Phase 3every call19 times: Phase 3, Q3’24 Oct '24, counts as said22 times: Phase 3, Q4’24 Feb '25, counts as said16 times: Phase 3, Q1’25 May '25, counts as said21 times: Phase 3, Q2’25 Aug '25, counts as said26 times: Phase 3, Q3’25 Oct '25, counts as said20 times: Phase 3, Q4’25 Feb '26, counts as said29 times: Phase 3, Q1’26 Apr '26, counts as said12 times: Phase 3, Q2’26 Aug '26, counts as saidsteady8/8100%8/8100%77/77100%97%n=1+tx from settlement history blended with transcripts
Regulation / Regulator / Regulatory4 times: Regulation / Regulator / Regulatory, Q3’24 Oct '24, counts as said6 times: Regulation / Regulator / Regulatory, Q4’24 Feb '25, counts as said4 times: Regulation / Regulator / Regulatory, Q1’25 May '25, counts as said8 times: Regulation / Regulator / Regulatory, Q2’25 Aug '25, counts as said3 times: Regulation / Regulator / Regulatory, Q3’25 Oct '25, counts as said6 times: Regulation / Regulator / Regulatory, Q4’25 Feb '26, counts as said8 times: Regulation / Regulator / Regulatory, Q1’26 Apr '26, counts as said11 times: Regulation / Regulator / Regulatory, Q2’26 Aug '26, counts as saidrising8/8100%8/8100%76/7799%93%n=1+tx from settlement history blended with transcripts
Zepbound28 times: Zepbound, Q3’24 Oct '24, counts as said22 times: Zepbound, Q4’24 Feb '25, counts as said24 times: Zepbound, Q1’25 May '25, counts as said29 times: Zepbound, Q2’25 Aug '25, counts as said13 times: Zepbound, Q3’25 Oct '25, counts as said22 times: Zepbound, Q4’25 Feb '26, counts as said20 times: Zepbound, Q1’26 Apr '26, counts as said9 times: Zepbound, Q2’26 Aug '26, counts as saidfalling8/8100%8/8100%11/7714%96%n=1+tx from settlement history blended with transcripts
Lebanon1 time: Lebanon, Q3’24 Oct '24, counts as said0 times: Lebanon, Q4’24 Feb '250 times: Lebanon, Q1’25 May '250 times: Lebanon, Q2’25 Aug '250 times: Lebanon, Q3’25 Oct '250 times: Lebanon, Q4’25 Feb '260 times: Lebanon, Q1’26 Apr '261 time: Lebanon, Q2’26 Aug '26, counts as saidsteady2/825%2/825%3/774%32%n=1+tx from settlement history blended with transcripts
Parkinsons0 times: Parkinsons, Q3’24 Oct '240 times: Parkinsons, Q4’24 Feb '250 times: Parkinsons, Q1’25 May '250 times: Parkinsons, Q2’25 Aug '250 times: Parkinsons, Q3’25 Oct '250 times: Parkinsons, Q4’25 Feb '260 times: Parkinsons, Q1’26 Apr '260 times: Parkinsons, Q2’26 Aug '26steady0/80%0/80%9/7712%13%n=1+tx from settlement history blended with transcripts
Texas0 times: Texas, Q3’24 Oct '240 times: Texas, Q4’24 Feb '250 times: Texas, Q1’25 May '250 times: Texas, Q2’25 Aug '251 time: Texas, Q3’25 Oct '25, counts as said0 times: Texas, Q4’25 Feb '260 times: Texas, Q1’26 Apr '260 times: Texas, Q2’26 Aug '26steady1/812%1/812%1/771%22%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 51 of 51 settled words resolved (100.0%). How we check.

Recent appearances and how their listed words settled
DateAppearanceTextWordsSettledOur count agreed
Aug 5, 2026Earnings call FY26 Q2Speaker-labelled transcript155 yes · 10 no15/15 (100%)
Apr 30, 2026Earnings call FY26 Q1Speaker-labelled transcript137 yes · 6 no13/13 (100%)
Feb 4, 2026Earnings call FY25 Q4Speaker-labelled transcript2318 yes · 5 no23/23 (100%)
Oct 30, 2025Earnings call FY25 Q3Speaker-labelled transcript0––
Aug 7, 2025Earnings call FY25 Q2Speaker-labelled transcript0––
May 1, 2025Earnings call FY25 Q1Speaker-labelled transcript0––
Feb 6, 2025Earnings call FY24 Q4Speaker-labelled transcript0––
Oct 30, 2024Earnings call FY24 Q3Speaker-labelled transcript0––
Aug 8, 2024Earnings call FY24 Q2Speaker-labelled transcript0––
Apr 30, 2024Earnings call FY24 Q1Speaker-labelled transcript0––
Feb 6, 2024Earnings call FY23 Q4Speaker-labelled transcript0––
Nov 2, 2023Earnings call FY23 Q3Speaker-labelled transcript0––

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

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