DoorDash (DASH)

EarningsTranscriptsUpdated

As of Oct 24, 2026, Kalshi has settled 24 word markets on DoorDash’s earnings calls since 2026, on 17 different words. Next call: Nov 4, 2026 (16 words listed).

Next: Earnings call ·

16 words listed · Occasion page

Who counts: Kalshi: company speakers + operator

Kalshi

DoorDash: the words listed for Wed, Nov 4, 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 '26Q1’26May '26Q2’26last callTrendLast 8ScriptedAll-timeProbabilityMarket
Autonomous4 times: Autonomous, Q3’24 Oct '24, counts as said1 time: Autonomous, Q4’24 Feb '25, counts as said6 times: Autonomous, Q1’25 May '25, counts as said4 times: Autonomous, Q2’25 Aug '25, counts as said5 times: Autonomous, Q3’25 Nov '25, counts as said6 times: Autonomous, Q4’25 Feb '26, counts as said1 time: Autonomous, Q1’26 May '26, counts as said11 times: Autonomous, Q2’26 Aug '26, counts as saidrising8/8100%1/812%8/2335%92%n=2+tx from settlement history blended with transcripts75¢ Kalshi
Afford / Affordable / Affordabilityevery call4 times: Afford / Affordable / Affordability, Q3’24 Oct '24, counts as said3 times: Afford / Affordable / Affordability, Q4’24 Feb '25, counts as said13 times: Afford / Affordable / Affordability, Q1’25 May '25, counts as said4 times: Afford / Affordable / Affordability, Q2’25 Aug '25, counts as said4 times: Afford / Affordable / Affordability, Q3’25 Nov '25, counts as said2 times: Afford / Affordable / Affordability, Q4’25 Feb '26, counts as said2 times: Afford / Affordable / Affordability, Q1’26 May '26, counts as said2 times: Afford / Affordable / Affordability, Q2’26 Aug '26, counts as saidfalling8/8100%0/80%23/23100%85%n=1+tx from settlement history blended with transcripts88¢ Kalshi
DashMart6 times: DashMart, Q3’24 Oct '24, counts as said0 times: DashMart, Q4’24 Feb '250 times: DashMart, Q1’25 May '250 times: DashMart, Q2’25 Aug '258 times: DashMart, Q3’25 Nov '25, counts as said2 times: DashMart, Q4’25 Feb '26, counts as said2 times: DashMart, Q1’26 May '26, counts as said2 times: DashMart, Q2’26 Aug '26, counts as saidsteady5/862%0/80%14/2361%80%n=1+tx from settlement history blended with transcripts46¢ Kalshi
Local Commerce7 times: Local Commerce, Q3’24 Oct '24, counts as said1 time: Local Commerce, Q4’24 Feb '25, counts as said2 times: Local Commerce, Q1’25 May '25, counts as said1 time: Local Commerce, Q2’25 Aug '25, counts as said3 times: Local Commerce, Q3’25 Nov '25, counts as said4 times: Local Commerce, Q4’25 Feb '26, counts as said0 times: Local Commerce, Q1’26 May '261 time: Local Commerce, Q2’26 Aug '26, counts as saidfalling7/888%0/80%20/2387%78%n=1+tx from settlement history blended with transcripts46¢ Kalshi
Waymo0 times: Waymo, Q3’24 Oct '240 times: Waymo, Q4’24 Feb '250 times: Waymo, Q1’25 May '250 times: Waymo, Q2’25 Aug '250 times: Waymo, Q3’25 Nov '250 times: Waymo, Q4’25 Feb '260 times: Waymo, Q1’26 May '261 time: Waymo, Q2’26 Aug '26, counts as saidrising1/812%0/80%1/234%33%n=2+tx from settlement history blended with transcripts46¢ Kalshi
Kroger0 times: Kroger, Q3’24 Oct '240 times: Kroger, Q4’24 Feb '250 times: Kroger, Q1’25 May '250 times: Kroger, Q2’25 Aug '251 time: Kroger, Q3’25 Nov '25, counts as said1 time: Kroger, Q4’25 Feb '26, counts as said0 times: Kroger, Q1’26 May '260 times: Kroger, Q2’26 Aug '26steady2/825%0/80%2/239%31%n=2+tx from settlement history blended with transcripts46¢ Kalshi
Drone0 times: Drone, Q3’24 Oct '240 times: Drone, Q4’24 Feb '250 times: Drone, Q1’25 May '253 times: Drone, Q2’25 Aug '25, counts as said0 times: Drone, Q3’25 Nov '251 time: Drone, Q4’25 Feb '26, counts as said0 times: Drone, Q1’26 May '260 times: Drone, Q2’26 Aug '26steady2/825%0/80%2/239%22%n=1+tx from settlement history blended with transcripts46¢ Kalshi
Physical Retailer0 times: Physical Retailer, Q3’24 Oct '240 times: Physical Retailer, Q4’24 Feb '250 times: Physical Retailer, Q1’25 May '250 times: Physical Retailer, Q2’25 Aug '252 times: Physical Retailer, Q3’25 Nov '25, counts as said0 times: Physical Retailer, Q4’25 Feb '260 times: Physical Retailer, Q1’26 May '260 times: Physical Retailer, Q2’26 Aug '26steady1/812%0/80%5/2322%22%n=2+tx from settlement history blended with transcripts46¢ Kalshi
Headwind0 times: Headwind, Q3’24 Oct '240 times: Headwind, Q4’24 Feb '251 time: Headwind, Q1’25 May '25, counts as said0 times: Headwind, Q2’25 Aug '250 times: Headwind, Q3’25 Nov '250 times: Headwind, Q4’25 Feb '260 times: Headwind, Q1’26 May '260 times: Headwind, Q2’26 Aug '26steady1/812%0/80%7/2330%14%n=1+tx from settlement history blended with transcripts46¢ Kalshi
Tailwind0 times: Tailwind, Q3’24 Oct '240 times: Tailwind, Q4’24 Feb '252 times: Tailwind, Q1’25 May '25, counts as said0 times: Tailwind, Q2’25 Aug '250 times: Tailwind, Q3’25 Nov '250 times: Tailwind, Q4’25 Feb '260 times: Tailwind, Q1’26 May '260 times: Tailwind, Q2’26 Aug '26falling1/812%0/80%6/2326%14%n=1+tx from settlement history blended with transcripts46¢ Kalshi
New York0 times: New York, Q3’24 Oct '240 times: New York, Q4’24 Feb '252 times: New York, Q1’25 May '25, counts as said0 times: New York, Q2’25 Aug '250 times: New York, Q3’25 Nov '250 times: New York, Q4’25 Feb '260 times: New York, Q1’26 May '260 times: New York, Q2’26 Aug '26falling1/812%0/80%8/2335%13%n=2+tx from settlement history blended with transcripts46¢ Kalshi
Robot / Robotic / Robotics0 times: Robot / Robotic / Robotics, Q3’24 Oct '240 times: Robot / Robotic / Robotics, Q4’24 Feb '250 times: Robot / Robotic / Robotics, Q1’25 May '252 times: Robot / Robotic / Robotics, Q2’25 Aug '25, counts as said0 times: Robot / Robotic / Robotics, Q3’25 Nov '250 times: Robot / Robotic / Robotics, Q4’25 Feb '260 times: Robot / Robotic / Robotics, Q1’26 May '260 times: Robot / Robotic / Robotics, Q2’26 Aug '26steady1/812%0/80%1/234%13%n=2+tx from settlement history blended with transcripts46¢ Kalshi
Delivery Heronever said0 times: Delivery Hero, Q3’24 Oct '240 times: Delivery Hero, Q4’24 Feb '250 times: Delivery Hero, Q1’25 May '250 times: Delivery Hero, Q2’25 Aug '250 times: Delivery Hero, Q3’25 Nov '250 times: Delivery Hero, Q4’25 Feb '260 times: Delivery Hero, Q1’26 May '260 times: Delivery Hero, Q2’26 Aug '26steady0/80%0/80%0/230%11%n=1+tx from settlement history blended with transcripts46¢ Kalshi
Shopifynever said0 times: Shopify, Q3’24 Oct '240 times: Shopify, Q4’24 Feb '250 times: Shopify, Q1’25 May '250 times: Shopify, Q2’25 Aug '250 times: Shopify, Q3’25 Nov '250 times: Shopify, Q4’25 Feb '260 times: Shopify, Q1’26 May '260 times: Shopify, Q2’26 Aug '26steady0/80%0/80%0/230%11%n=1+tx from settlement history blended with transcripts46¢ Kalshi
Ubernever said0 times: Uber, Q3’24 Oct '240 times: Uber, Q4’24 Feb '250 times: Uber, Q1’25 May '250 times: Uber, Q2’25 Aug '250 times: Uber, Q3’25 Nov '250 times: Uber, Q4’25 Feb '260 times: Uber, Q1’26 May '260 times: Uber, Q2’26 Aug '26steady0/80%0/80%0/230%11%n=1+tx from settlement history blended with transcripts20¢ Kalshi
Wingstopnever said0 times: Wingstop, Q3’24 Oct '240 times: Wingstop, Q4’24 Feb '250 times: Wingstop, Q1’25 May '250 times: Wingstop, Q2’25 Aug '250 times: Wingstop, Q3’25 Nov '250 times: Wingstop, Q4’25 Feb '260 times: Wingstop, Q1’26 May '260 times: Wingstop, Q2’26 Aug '26steady0/80%0/80%0/230%10%n=2+tx from settlement history blended with transcripts45¢ 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 23:21 UTC.

Every word

1–1 of 1, most settled first
DoorDash: every word with settled markets, most settled first
WordQ3’24Oct '24Q4’24Feb '25Q1’25May '25Q2’25Aug '25Q3’25Nov '25Q4’25Feb '26Q1’26May '26Q2’26last callTrendLast 8ScriptedAll-timeProbability
Grocery20 times: Grocery, Q3’24 Oct '24, counts as said8 times: Grocery, Q4’24 Feb '25, counts as said8 times: Grocery, Q1’25 May '25, counts as said1 time: Grocery, Q2’25 Aug '25, counts as said9 times: Grocery, Q3’25 Nov '25, counts as said15 times: Grocery, Q4’25 Feb '26, counts as said16 times: Grocery, Q1’26 May '26, counts as said17 times: Grocery, Q2’26 Aug '26, counts as saidsteady8/8100%0/80%22/2396%95%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 24 of 24 settled words resolved (100.0%). How we check.

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

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