Yum! Brands (YUM)

EarningsTranscriptsUpdated

As of Oct 24, 2026, Kalshi has settled 18 word markets on Yum! Brands’ earnings calls since 2026, on 18 different words. Next call: Nov 3, 2026 (17 words listed).

Next: Earnings call ·

17 words listed · Occasion page

Who counts: Kalshi: company speakers + operator

Kalshi

Yum! Brands: 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 '25Q1’25Apr '25Q2’25Aug '25Q3’25year agoQ4’25Feb '26Q1’26Apr '26Q2’26last callTrendLast 8ScriptedAll-timeProbabilityMarket
Byte0 times: Byte, Q3’24 Nov '2424 times: Byte, Q4’24 Feb '25, counts as said17 times: Byte, Q1’25 Apr '25, counts as said41 times: Byte, Q2’25 Aug '25, counts as said16 times: Byte, Q3’25 Nov '25, counts as said12 times: Byte, Q4’25 Feb '26, counts as said16 times: Byte, Q1’26 Apr '26, counts as said13 times: Byte, Q2’26 Jul '26, counts as saidsteady7/888%7/888%8/8110%95%n=1+tx from settlement history blended with transcripts90¢ Kalshi
AI / Artificial Intelligence20 times: AI / Artificial Intelligence, Q3’24 Nov '24, counts as said10 times: AI / Artificial Intelligence, Q4’24 Feb '25, counts as said12 times: AI / Artificial Intelligence, Q1’25 Apr '25, counts as said15 times: AI / Artificial Intelligence, Q2’25 Aug '25, counts as said7 times: AI / Artificial Intelligence, Q3’25 Nov '25, counts as said1 time: AI / Artificial Intelligence, Q4’25 Feb '26, counts as said18 times: AI / Artificial Intelligence, Q1’26 Apr '26, counts as said13 times: AI / Artificial Intelligence, Q2’26 Jul '26, counts as saidsteady8/8100%8/8100%21/8126%95%n=1+tx from settlement history blended with transcripts90¢ Kalshi
Saucy / Sauce0 times: Saucy / Sauce, Q3’24 Nov '244 times: Saucy / Sauce, Q4’24 Feb '25, counts as said7 times: Saucy / Sauce, Q1’25 Apr '25, counts as said2 times: Saucy / Sauce, Q2’25 Aug '25, counts as said2 times: Saucy / Sauce, Q3’25 Nov '25, counts as said5 times: Saucy / Sauce, Q4’25 Feb '26, counts as said10 times: Saucy / Sauce, Q1’26 Apr '26, counts as said6 times: Saucy / Sauce, Q2’26 Jul '26, counts as saidrising7/888%7/888%16/8120%90%n=1+tx from settlement history blended with transcripts80¢ Kalshi
Traffic3 times: Traffic, Q3’24 Nov '24, counts as said2 times: Traffic, Q4’24 Feb '25, counts as said5 times: Traffic, Q1’25 Apr '25, counts as said1 time: Traffic, Q2’25 Aug '25, counts as said1 time: Traffic, Q3’25 Nov '25, counts as said3 times: Traffic, Q4’25 Feb '26, counts as said0 times: Traffic, Q1’26 Apr '261 time: Traffic, Q2’26 Jul '26, counts as saidfalling7/888%6/875%35/8143%74%n=1+tx from settlement history blended with transcripts74¢ Kalshi
Luxe / Luxe Value Menu0 times: Luxe / Luxe Value Menu, Q3’24 Nov '241 time: Luxe / Luxe Value Menu, Q4’24 Feb '25, counts as said5 times: Luxe / Luxe Value Menu, Q1’25 Apr '25, counts as said0 times: Luxe / Luxe Value Menu, Q2’25 Aug '251 time: Luxe / Luxe Value Menu, Q3’25 Nov '25, counts as said2 times: Luxe / Luxe Value Menu, Q4’25 Feb '26, counts as said2 times: Luxe / Luxe Value Menu, Q1’26 Apr '26, counts as said1 time: Luxe / Luxe Value Menu, Q2’26 Jul '26, counts as saidsteady6/875%5/862%7/819%74%n=1+tx from settlement history blended with transcripts76¢ Kalshi
Yum China1 time: Yum China, Q3’24 Nov '24, counts as said1 time: Yum China, Q4’24 Feb '25, counts as said0 times: Yum China, Q1’25 Apr '250 times: Yum China, Q2’25 Aug '251 time: Yum China, Q3’25 Nov '25, counts as said2 times: Yum China, Q4’25 Feb '26, counts as said0 times: Yum China, Q1’26 Apr '262 times: Yum China, Q2’26 Jul '26, counts as saidrising5/862%4/850%46/8157%69%n=1+tx from settlement history blended with transcripts72¢ Kalshi
Baja Blast0 times: Baja Blast, Q3’24 Nov '240 times: Baja Blast, Q4’24 Feb '250 times: Baja Blast, Q1’25 Apr '253 times: Baja Blast, Q2’25 Aug '25, counts as said2 times: Baja Blast, Q3’25 Nov '25, counts as said1 time: Baja Blast, Q4’25 Feb '26, counts as said1 time: Baja Blast, Q1’26 Apr '26, counts as said2 times: Baja Blast, Q2’26 Jul '26, counts as saidrising5/862%4/850%5/816%65%transcripts from the transcript model62¢ Kalshi
LongRange Capital0 times: LongRange Capital, Q3’24 Nov '240 times: LongRange Capital, Q4’24 Feb '250 times: LongRange Capital, Q1’25 Apr '250 times: LongRange Capital, Q2’25 Aug '250 times: LongRange Capital, Q3’25 Nov '250 times: LongRange Capital, Q4’25 Feb '260 times: LongRange Capital, Q1’26 Apr '263 times: LongRange Capital, Q2’26 Jul '26, counts as saidrising1/812%1/812%1/811%51%n=1+tx from settlement history blended with transcripts41¢ Kalshi
Beef0 times: Beef, Q3’24 Nov '240 times: Beef, Q4’24 Feb '250 times: Beef, Q1’25 Apr '251 time: Beef, Q2’25 Aug '25, counts as said4 times: Beef, Q3’25 Nov '25, counts as said1 time: Beef, Q4’25 Feb '26, counts as said1 time: Beef, Q1’26 Apr '26, counts as said0 times: Beef, Q2’26 Jul '26rising4/850%4/850%30/8137%46%n=1+tx from settlement history blended with transcripts50¢ Kalshi
Crispy Chicken0 times: Crispy Chicken, Q3’24 Nov '240 times: Crispy Chicken, Q4’24 Feb '252 times: Crispy Chicken, Q1’25 Apr '25, counts as said6 times: Crispy Chicken, Q2’25 Aug '25, counts as said3 times: Crispy Chicken, Q3’25 Nov '25, counts as said2 times: Crispy Chicken, Q4’25 Feb '26, counts as said0 times: Crispy Chicken, Q1’26 Apr '260 times: Crispy Chicken, Q2’26 Jul '26steady4/850%4/850%12/8115%44%n=1+tx from settlement history blended with transcripts27¢ Kalshi
Food Safety0 times: Food Safety, Q3’24 Nov '240 times: Food Safety, Q4’24 Feb '250 times: Food Safety, Q1’25 Apr '251 time: Food Safety, Q2’25 Aug '25, counts as said0 times: Food Safety, Q3’25 Nov '250 times: Food Safety, Q4’25 Feb '260 times: Food Safety, Q1’26 Apr '261 time: Food Safety, Q2’26 Jul '26, counts as saidrising2/825%2/825%17/8121%43%n=1+tx from settlement history blended with transcripts68¢ Kalshi
Buyback / Buy Back0 times: Buyback / Buy Back, Q3’24 Nov '241 time: Buyback / Buy Back, Q4’24 Feb '25, counts as said0 times: Buyback / Buy Back, Q1’25 Apr '250 times: Buyback / Buy Back, Q2’25 Aug '250 times: Buyback / Buy Back, Q3’25 Nov '251 time: Buyback / Buy Back, Q4’25 Feb '26, counts as said0 times: Buyback / Buy Back, Q1’26 Apr '260 times: Buyback / Buy Back, Q2’26 Jul '26steady2/825%2/825%34/8142%29%transcripts from the transcript model34¢ Kalshi
Recall / Recalled3 times: Recall / Recalled, Q3’24 Nov '24, counts as said0 times: Recall / Recalled, Q4’24 Feb '251 time: Recall / Recalled, Q1’25 Apr '25, counts as said0 times: Recall / Recalled, Q2’25 Aug '250 times: Recall / Recalled, Q3’25 Nov '250 times: Recall / Recalled, Q4’25 Feb '261 time: Recall / Recalled, Q1’26 Apr '26, counts as said0 times: Recall / Recalled, Q2’26 Jul '26falling3/838%3/838%31/8138%25%n=1+tx from settlement history blended with transcripts25¢ Kalshi
Cyclospora / Cyclosporiasisnever said0 times: Cyclospora / Cyclosporiasis, Q3’24 Nov '240 times: Cyclospora / Cyclosporiasis, Q4’24 Feb '250 times: Cyclospora / Cyclosporiasis, Q1’25 Apr '250 times: Cyclospora / Cyclosporiasis, Q2’25 Aug '250 times: Cyclospora / Cyclosporiasis, Q3’25 Nov '250 times: Cyclospora / Cyclosporiasis, Q4’25 Feb '260 times: Cyclospora / Cyclosporiasis, Q1’26 Apr '260 times: Cyclospora / Cyclosporiasis, Q2’26 Jul '26steady0/80%0/80%0/810%12%n=1+tx from settlement history blended with transcripts22¢ Kalshi
Lettuce0 times: Lettuce, Q3’24 Nov '240 times: Lettuce, Q4’24 Feb '250 times: Lettuce, Q1’25 Apr '250 times: Lettuce, Q2’25 Aug '250 times: Lettuce, Q3’25 Nov '250 times: Lettuce, Q4’25 Feb '260 times: Lettuce, Q1’26 Apr '260 times: Lettuce, Q2’26 Jul '26steady0/80%0/80%1/811%12%n=1+tx from settlement history blended with transcripts26¢ Kalshi
Outbreak / Illness0 times: Outbreak / Illness, Q3’24 Nov '240 times: Outbreak / Illness, Q4’24 Feb '250 times: Outbreak / Illness, Q1’25 Apr '250 times: Outbreak / Illness, Q2’25 Aug '250 times: Outbreak / Illness, Q3’25 Nov '250 times: Outbreak / Illness, Q4’25 Feb '260 times: Outbreak / Illness, Q1’26 Apr '260 times: Outbreak / Illness, Q2’26 Jul '26steady0/80%0/80%4/815%12%n=1+tx from settlement history blended with transcripts24¢ Kalshi
Taylor Farmsnever said0 times: Taylor Farms, Q3’24 Nov '240 times: Taylor Farms, Q4’24 Feb '250 times: Taylor Farms, Q1’25 Apr '250 times: Taylor Farms, Q2’25 Aug '250 times: Taylor Farms, Q3’25 Nov '250 times: Taylor Farms, Q4’25 Feb '260 times: Taylor Farms, Q1’26 Apr '260 times: Taylor Farms, Q2’26 Jul '26steady0/80%0/80%0/810%12%n=1+tx from settlement history blended with transcripts18¢ 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
Yum! Brands: every word with settled markets, most settled first
WordQ3’24Nov '24Q4’24Feb '25Q1’25Apr '25Q2’25Aug '25Q3’25Nov '25Q4’25Feb '26Q1’26Apr '26Q2’26last callTrendLast 8ScriptedAll-timeProbability
Buyback / Share Repurchase0 times: Buyback / Share Repurchase, Q3’24 Nov '241 time: Buyback / Share Repurchase, Q4’24 Feb '25, counts as said0 times: Buyback / Share Repurchase, Q1’25 Apr '250 times: Buyback / Share Repurchase, Q2’25 Aug '250 times: Buyback / Share Repurchase, Q3’25 Nov '251 time: Buyback / Share Repurchase, Q4’25 Feb '26, counts as said0 times: Buyback / Share Repurchase, Q1’26 Apr '260 times: Buyback / Share Repurchase, Q2’26 Jul '26steady2/825%2/825%56/8169%36%n=1+tx from settlement history blended with transcripts
Value21 times: Value, Q3’24 Nov '24, counts as said21 times: Value, Q4’24 Feb '25, counts as said21 times: Value, Q1’25 Apr '25, counts as said19 times: Value, Q2’25 Aug '25, counts as said12 times: Value, Q3’25 Nov '25, counts as said13 times: Value, Q4’25 Feb '26, counts as said21 times: Value, Q1’26 Apr '26, counts as said9 times: Value, Q2’26 Jul '26, counts as saidfalling8/8100%8/8100%79/8198%96%n=1+tx from settlement history blended with transcripts
Low-Income / Lower-Income0 times: Low-Income / Lower-Income, Q3’24 Nov '240 times: Low-Income / Lower-Income, Q4’24 Feb '251 time: Low-Income / Lower-Income, Q1’25 Apr '25, counts as said1 time: Low-Income / Lower-Income, Q2’25 Aug '25, counts as said0 times: Low-Income / Lower-Income, Q3’25 Nov '250 times: Low-Income / Lower-Income, Q4’25 Feb '260 times: Low-Income / Lower-Income, Q1’26 Apr '260 times: Low-Income / Lower-Income, Q2’26 Jul '26steady2/825%1/812%11/8114%17%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 17 of 18 settled words resolved (94.4%). How we check.

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

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