Alibaba (BABA)

EarningsTranscriptsUpdated

As of Oct 24, 2026, Kalshi has settled 15 word markets on Alibaba’s earnings calls since 2025, on 15 different words.

History Wall

1–15 of 15, most settled first
Alibaba: every word with settled markets, most settled first
WordQ2’25Nov '24Q3’25Feb '25Q4’25May '25Q1’26Aug '25Q2’26Nov '25Q3’26Mar '26Q4’26May '26Q1’27last callTrendLast 8ScriptedAll-timeProbability
AI / Artificial Intelligence39 times: AI / Artificial Intelligence, Q2’25 Nov '24, counts as said80 times: AI / Artificial Intelligence, Q3’25 Feb '25, counts as said56 times: AI / Artificial Intelligence, Q4’25 May '25, counts as said74 times: AI / Artificial Intelligence, Q1’26 Aug '25, counts as said57 times: AI / Artificial Intelligence, Q2’26 Nov '25, counts as said91 times: AI / Artificial Intelligence, Q3’26 Mar '26, counts as said68 times: AI / Artificial Intelligence, Q4’26 May '26, counts as said110 times: AI / Artificial Intelligence, Q1’27 Aug '26, counts as saidrising8/8100%8/8100%33/4869%96%n=1+tx from settlement history blended with transcripts
International e-commerce1 time: International e-commerce, Q2’25 Nov '24, counts as said2 times: International e-commerce, Q3’25 Feb '25, counts as said1 time: International e-commerce, Q4’25 May '25, counts as said0 times: International e-commerce, Q1’26 Aug '250 times: International e-commerce, Q2’26 Nov '250 times: International e-commerce, Q3’26 Mar '260 times: International e-commerce, Q4’26 May '264 times: International e-commerce, Q1’27 Aug '26, counts as saidrising4/850%4/850%6/4812%59%n=1+tx from settlement history blended with transcripts
Investor2 times: Investor, Q2’25 Nov '24, counts as said2 times: Investor, Q3’25 Feb '25, counts as said2 times: Investor, Q4’25 May '25, counts as said1 time: Investor, Q1’26 Aug '25, counts as said1 time: Investor, Q2’26 Nov '25, counts as said2 times: Investor, Q3’26 Mar '26, counts as said1 time: Investor, Q4’26 May '26, counts as said2 times: Investor, Q1’27 Aug '26, counts as saidsteady8/8100%8/8100%42/4888%78%n=1+tx from settlement history blended with transcripts
Logistics / Logistical3 times: Logistics / Logistical, Q2’25 Nov '24, counts as said1 time: Logistics / Logistical, Q3’25 Feb '25, counts as said1 time: Logistics / Logistical, Q4’25 May '25, counts as said5 times: Logistics / Logistical, Q1’26 Aug '25, counts as said5 times: Logistics / Logistical, Q2’26 Nov '25, counts as said3 times: Logistics / Logistical, Q3’26 Mar '26, counts as said3 times: Logistics / Logistical, Q4’26 May '26, counts as said2 times: Logistics / Logistical, Q1’27 Aug '26, counts as saidsteady8/8100%6/875%46/4896%86%n=1+tx from settlement history blended with transcripts
Regulator / Regulatory / Regulation0 times: Regulator / Regulatory / Regulation, Q2’25 Nov '240 times: Regulator / Regulatory / Regulation, Q3’25 Feb '251 time: Regulator / Regulatory / Regulation, Q4’25 May '25, counts as said0 times: Regulator / Regulatory / Regulation, Q1’26 Aug '250 times: Regulator / Regulatory / Regulation, Q2’26 Nov '250 times: Regulator / Regulatory / Regulation, Q3’26 Mar '260 times: Regulator / Regulatory / Regulation, Q4’26 May '260 times: Regulator / Regulatory / Regulation, Q1’27 Aug '26steady1/812%1/812%17/4835%22%n=1+tx from settlement history blended with transcripts
Ant Group Restructuringnever said0 times: Ant Group Restructuring, Q2’25 Nov '240 times: Ant Group Restructuring, Q3’25 Feb '250 times: Ant Group Restructuring, Q4’25 May '250 times: Ant Group Restructuring, Q1’26 Aug '250 times: Ant Group Restructuring, Q2’26 Nov '250 times: Ant Group Restructuring, Q3’26 Mar '260 times: Ant Group Restructuring, Q4’26 May '260 times: Ant Group Restructuring, Q1’27 Aug '26steady0/80%0/80%0/480%13%n=1+tx from settlement history blended with transcripts
Cloud compute / Cloud Computing2 times: Cloud compute / Cloud Computing, Q2’25 Nov '24, counts as said10 times: Cloud compute / Cloud Computing, Q3’25 Feb '25, counts as said0 times: Cloud compute / Cloud Computing, Q4’25 May '253 times: Cloud compute / Cloud Computing, Q1’26 Aug '25, counts as said1 time: Cloud compute / Cloud Computing, Q2’26 Nov '25, counts as said10 times: Cloud compute / Cloud Computing, Q3’26 Mar '26, counts as said0 times: Cloud compute / Cloud Computing, Q4’26 May '264 times: Cloud compute / Cloud Computing, Q1’27 Aug '26, counts as saidsteady6/875%6/875%44/4892%76%n=1+tx from settlement history blended with transcripts
Economic recovery0 times: Economic recovery, Q2’25 Nov '240 times: Economic recovery, Q3’25 Feb '250 times: Economic recovery, Q4’25 May '250 times: Economic recovery, Q1’26 Aug '250 times: Economic recovery, Q2’26 Nov '250 times: Economic recovery, Q3’26 Mar '260 times: Economic recovery, Q4’26 May '260 times: Economic recovery, Q1’27 Aug '26steady0/80%0/80%3/486%13%n=1+tx from settlement history blended with transcripts
ESG0 times: ESG, Q2’25 Nov '240 times: ESG, Q3’25 Feb '250 times: ESG, Q4’25 May '250 times: ESG, Q1’26 Aug '250 times: ESG, Q2’26 Nov '250 times: ESG, Q3’26 Mar '260 times: ESG, Q4’26 May '260 times: ESG, Q1’27 Aug '26steady0/80%0/80%3/486%13%n=1+tx from settlement history blended with transcripts
JD.comnever said0 times: JD.com, Q2’25 Nov '240 times: JD.com, Q3’25 Feb '250 times: JD.com, Q4’25 May '250 times: JD.com, Q1’26 Aug '250 times: JD.com, Q2’26 Nov '250 times: JD.com, Q3’26 Mar '260 times: JD.com, Q4’26 May '260 times: JD.com, Q1’27 Aug '26steady0/80%0/80%0/480%13%n=1+tx from settlement history blended with transcripts
Live-stream / Livestream / Live stream0 times: Live-stream / Livestream / Live stream, Q2’25 Nov '240 times: Live-stream / Livestream / Live stream, Q3’25 Feb '250 times: Live-stream / Livestream / Live stream, Q4’25 May '250 times: Live-stream / Livestream / Live stream, Q1’26 Aug '250 times: Live-stream / Livestream / Live stream, Q2’26 Nov '250 times: Live-stream / Livestream / Live stream, Q3’26 Mar '260 times: Live-stream / Livestream / Live stream, Q4’26 May '260 times: Live-stream / Livestream / Live stream, Q1’27 Aug '26steady0/80%0/80%8/4817%13%n=1+tx from settlement history blended with transcripts
Pinduoduonever said0 times: Pinduoduo, Q2’25 Nov '240 times: Pinduoduo, Q3’25 Feb '250 times: Pinduoduo, Q4’25 May '250 times: Pinduoduo, Q1’26 Aug '250 times: Pinduoduo, Q2’26 Nov '250 times: Pinduoduo, Q3’26 Mar '260 times: Pinduoduo, Q4’26 May '260 times: Pinduoduo, Q1’27 Aug '26steady0/80%0/80%0/480%13%n=1+tx from settlement history blended with transcripts
Retail trend0 times: Retail trend, Q2’25 Nov '240 times: Retail trend, Q3’25 Feb '250 times: Retail trend, Q4’25 May '250 times: Retail trend, Q1’26 Aug '250 times: Retail trend, Q2’26 Nov '250 times: Retail trend, Q3’26 Mar '260 times: Retail trend, Q4’26 May '260 times: Retail trend, Q1’27 Aug '26steady0/80%0/80%1/482%13%n=1+tx from settlement history blended with transcripts
Southeast Asia / SEA0 times: Southeast Asia / SEA, Q2’25 Nov '240 times: Southeast Asia / SEA, Q3’25 Feb '250 times: Southeast Asia / SEA, Q4’25 May '250 times: Southeast Asia / SEA, Q1’26 Aug '250 times: Southeast Asia / SEA, Q2’26 Nov '250 times: Southeast Asia / SEA, Q3’26 Mar '260 times: Southeast Asia / SEA, Q4’26 May '261 time: Southeast Asia / SEA, Q1’27 Aug '26, counts as saidrising1/812%0/80%30/4862%28%n=1+tx from settlement history blended with transcripts
Singles Day0 times: Singles Day, Q2’25 Nov '240 times: Singles Day, Q3’25 Feb '250 times: Singles Day, Q4’25 May '250 times: Singles Day, Q1’26 Aug '250 times: Singles Day, Q2’26 Nov '250 times: Singles Day, Q3’26 Mar '260 times: Singles Day, Q4’26 May '260 times: Singles Day, Q1’27 Aug '26steady0/80%0/80%8/4817%13%n=1+tx from settlement history blended with transcripts
  • 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

Appearances and settled record

latest 12

Our transcript counts matched how 15 of 15 settled words resolved (100.0%). How we check.

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

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