Grab (GRAB)

EarningsTranscriptsUpdated

As of Oct 24, 2026, Kalshi has settled 13 word markets on Grab’s earnings calls since 2026, on 13 different words. Next call: Nov 2, 2026 (12 words listed).

Next: Earnings call ·

12 words listed · Occasion page

Who counts: Kalshi: company speakers + operator

Kalshi

Grab: the words listed for Mon, Nov 2, how often each was said on past occasions, and the probability for this one
WordQ3’24Nov '24Q4’24Feb '25Q1’25Apr '25Q2’25Jul '25Q3’25year agoQ4’25Feb '26Q1’26May '26Q2’26last callTrendLast 8ScriptedAll-timeProbabilityMarket
GrabMart2 times: GrabMart, Q3’24 Nov '24, counts as said0 times: GrabMart, Q4’24 Feb '252 times: GrabMart, Q1’25 Apr '25, counts as said3 times: GrabMart, Q2’25 Jul '25, counts as said8 times: GrabMart, Q3’25 Nov '25, counts as said5 times: GrabMart, Q4’25 Feb '26, counts as said5 times: GrabMart, Q1’26 May '26, counts as said3 times: GrabMart, Q2’26 Aug '26, counts as saidrising7/888%3/838%10/1953%89%n=1+tx from settlement history blended with transcripts69¢ Kalshi
Superbank1 time: Superbank, Q3’24 Nov '24, counts as said0 times: Superbank, Q4’24 Feb '250 times: Superbank, Q1’25 Apr '250 times: Superbank, Q2’25 Jul '250 times: Superbank, Q3’25 Nov '252 times: Superbank, Q4’25 Feb '26, counts as said0 times: Superbank, Q1’26 May '2616 times: Superbank, Q2’26 Aug '26, counts as saidrising3/838%1/812%5/1926%82%n=1+tx from settlement history blended with transcripts76¢ Kalshi
Stash0 times: Stash, Q3’24 Nov '240 times: Stash, Q4’24 Feb '250 times: Stash, Q1’25 Apr '250 times: Stash, Q2’25 Jul '250 times: Stash, Q3’25 Nov '257 times: Stash, Q4’25 Feb '26, counts as said0 times: Stash, Q1’26 May '268 times: Stash, Q2’26 Aug '26, counts as saidrising2/825%2/825%2/1911%78%n=1+tx from settlement history blended with transcripts46¢ Kalshi
Commission1 time: Commission, Q3’24 Nov '24, counts as said0 times: Commission, Q4’24 Feb '250 times: Commission, Q1’25 Apr '250 times: Commission, Q2’25 Jul '250 times: Commission, Q3’25 Nov '251 time: Commission, Q4’25 Feb '26, counts as said5 times: Commission, Q1’26 May '26, counts as said3 times: Commission, Q2’26 Aug '26, counts as saidrising4/850%0/80%10/1953%75%n=1+tx from settlement history blended with transcripts70¢ Kalshi
Buyback / Buy Back6 times: Buyback / Buy Back, Q3’24 Nov '24, counts as said0 times: Buyback / Buy Back, Q4’24 Feb '250 times: Buyback / Buy Back, Q1’25 Apr '254 times: Buyback / Buy Back, Q2’25 Jul '25, counts as said0 times: Buyback / Buy Back, Q3’25 Nov '250 times: Buyback / Buy Back, Q4’25 Feb '263 times: Buyback / Buy Back, Q1’26 May '26, counts as said5 times: Buyback / Buy Back, Q2’26 Aug '26, counts as saidsteady4/850%1/812%7/1937%73%n=1+tx from settlement history blended with transcripts44¢ Kalshi
Headwind0 times: Headwind, Q3’24 Nov '242 times: Headwind, Q4’24 Feb '25, counts as said1 time: Headwind, Q1’25 Apr '25, counts as said0 times: Headwind, Q2’25 Jul '250 times: Headwind, Q3’25 Nov '251 time: Headwind, Q4’25 Feb '26, counts as said2 times: Headwind, Q1’26 May '26, counts as said3 times: Headwind, Q2’26 Aug '26, counts as saidrising5/862%0/80%10/1953%72%n=1+tx from settlement history blended with transcripts46¢ Kalshi
Foodpanda0 times: Foodpanda, Q3’24 Nov '240 times: Foodpanda, Q4’24 Feb '250 times: Foodpanda, Q1’25 Apr '250 times: Foodpanda, Q2’25 Jul '250 times: Foodpanda, Q3’25 Nov '250 times: Foodpanda, Q4’25 Feb '261 time: Foodpanda, Q1’26 May '26, counts as said4 times: Foodpanda, Q2’26 Aug '26, counts as saidrising2/825%1/812%4/1921%62%n=1+tx from settlement history blended with transcripts46¢ Kalshi
Delivery Hero0 times: Delivery Hero, Q3’24 Nov '240 times: Delivery Hero, Q4’24 Feb '250 times: Delivery Hero, Q1’25 Apr '250 times: Delivery Hero, Q2’25 Jul '250 times: Delivery Hero, Q3’25 Nov '250 times: Delivery Hero, Q4’25 Feb '260 times: Delivery Hero, Q1’26 May '261 time: Delivery Hero, Q2’26 Aug '26, counts as saidrising1/812%0/80%2/1911%40%n=1+tx from settlement history blended with transcripts46¢ Kalshi
WeRide0 times: WeRide, Q3’24 Nov '240 times: WeRide, Q4’24 Feb '250 times: WeRide, Q1’25 Apr '250 times: WeRide, Q2’25 Jul '251 time: WeRide, Q3’25 Nov '25, counts as said1 time: WeRide, Q4’25 Feb '26, counts as said1 time: WeRide, Q1’26 May '26, counts as said0 times: WeRide, Q2’26 Aug '26rising3/838%2/825%4/1921%34%n=1+tx from settlement history blended with transcripts52¢ Kalshi
Robot / Robotic / Robotics0 times: Robot / Robotic / Robotics, Q3’24 Nov '241 time: Robot / Robotic / Robotics, Q4’24 Feb '25, counts as said0 times: Robot / Robotic / Robotics, Q1’25 Apr '250 times: Robot / Robotic / Robotics, Q2’25 Jul '250 times: Robot / Robotic / Robotics, Q3’25 Nov '252 times: Robot / Robotic / Robotics, Q4’25 Feb '26, counts as said0 times: Robot / Robotic / Robotics, Q1’26 May '260 times: Robot / Robotic / Robotics, Q2’26 Aug '26steady2/825%1/812%2/1911%28%n=1+tx from settlement history blended with transcripts30¢ Kalshi
Iran / Middle East0 times: Iran / Middle East, Q3’24 Nov '240 times: Iran / Middle East, Q4’24 Feb '250 times: Iran / Middle East, Q1’25 Apr '250 times: Iran / Middle East, Q2’25 Jul '250 times: Iran / Middle East, Q3’25 Nov '250 times: Iran / Middle East, Q4’25 Feb '261 time: Iran / Middle East, Q1’26 May '26, counts as said0 times: Iran / Middle East, Q2’26 Aug '26steady1/812%0/80%1/195%21%n=1+tx from settlement history blended with transcripts30¢ Kalshi
Tailwind0 times: Tailwind, Q3’24 Nov '240 times: Tailwind, Q4’24 Feb '250 times: Tailwind, Q1’25 Apr '250 times: Tailwind, Q2’25 Jul '250 times: Tailwind, Q3’25 Nov '250 times: Tailwind, Q4’25 Feb '260 times: Tailwind, Q1’26 May '260 times: Tailwind, Q2’26 Aug '26steady0/80%0/80%5/1926%12%n=1+tx from settlement history blended with transcripts25¢ 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 22, 2026 23:09 UTC.

Every word

1–1 of 1, most settled first
Grab: every word with settled markets, most settled first
WordQ3’24Nov '24Q4’24Feb '25Q1’25Apr '25Q2’25Jul '25Q3’25Nov '25Q4’25Feb '26Q1’26May '26Q2’26last callTrendLast 8ScriptedAll-timeProbability
MAI0 times: MAI, Q3’24 Nov '240 times: MAI, Q4’24 Feb '250 times: MAI, Q1’25 Apr '250 times: MAI, Q2’25 Jul '250 times: MAI, Q3’25 Nov '250 times: MAI, Q4’25 Feb '261 time: MAI, Q1’26 May '26, counts as said0 times: MAI, Q2’26 Aug '26steady1/812%1/812%1/195%21%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 13 of 13 settled words resolved (100.0%). How we check.

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

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