Amazon (AMZN)

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As of Oct 23, 2026, Kalshi and Polymarket have settled 178 word markets on Amazon’s earnings calls since 2025, on 79 different words; most reliably said: “Robotic / Robotics” (6 of 6). Next call: Oct 29, 2026 (22 words listed).

“Trainium” on the Jul 30 call · 9:19 · said 9 times. Play the clip

Next: Earnings call ·

22 words listed · Occasion page

Who counts: Kalshi: company speakers + operator

Kalshi

Amazon: 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 '25Q2’25Jul '25Q3’25year agoQ4’25Feb '26Q1’26Apr '26Q2’26last callTrendLast 8ScriptedAll-timeProbabilityMarket
Trainium6 times: Trainium, Q3’24 Oct '24, counts as said0 times: Trainium, Q4’24 Feb '256 times: Trainium, Q1’25 May '25, counts as said3 times: Trainium, Q2’25 Jul '25, counts as said11 times: Trainium, Q3’25 Oct '25, counts as said3 times: Trainium, Q4’25 Feb '26, counts as said14 times: Trainium, Q1’26 Apr '26, counts as said9 times: Trainium, Q2’26 Jul '26, counts as saidrising7/888%7/888%13/8316%94%n=2+tx from settlement history blended with transcripts97¢ Kalshi
Bedrock4 times: Bedrock, Q3’24 Oct '24, counts as said11 times: Bedrock, Q4’24 Feb '25, counts as said3 times: Bedrock, Q1’25 May '25, counts as said7 times: Bedrock, Q2’25 Jul '25, counts as said5 times: Bedrock, Q3’25 Oct '25, counts as said6 times: Bedrock, Q4’25 Feb '26, counts as said11 times: Bedrock, Q1’26 Apr '26, counts as said8 times: Bedrock, Q2’26 Jul '26, counts as saidrising8/8100%8/8100%14/8317%92%transcripts from the transcript model98¢ Kalshi
Robotic / Robotics13 times: Robotic / Robotics, Q3’24 Oct '24, counts as said16 times: Robotic / Robotics, Q4’24 Feb '25, counts as said3 times: Robotic / Robotics, Q1’25 May '25, counts as said4 times: Robotic / Robotics, Q2’25 Jul '25, counts as said5 times: Robotic / Robotics, Q3’25 Oct '25, counts as said3 times: Robotic / Robotics, Q4’25 Feb '26, counts as said1 time: Robotic / Robotics, Q1’26 Apr '26, counts as said2 times: Robotic / Robotics, Q2’26 Jul '26, counts as saidfalling8/8100%8/8100%17/8320%90%n=6+tx from settlement history blended with transcripts83¢ Kalshi
Gen AI / Generative AI16 times: Gen AI / Generative AI, Q3’24 Oct '24, counts as said21 times: Gen AI / Generative AI, Q4’24 Feb '25, counts as said8 times: Gen AI / Generative AI, Q1’25 May '25, counts as said13 times: Gen AI / Generative AI, Q2’25 Jul '25, counts as said4 times: Gen AI / Generative AI, Q3’25 Oct '25, counts as said1 time: Gen AI / Generative AI, Q4’25 Feb '26, counts as said3 times: Gen AI / Generative AI, Q1’26 Apr '26, counts as said3 times: Gen AI / Generative AI, Q2’26 Jul '26, counts as saidfalling8/8100%7/888%14/8317%90%n=5+tx from settlement history blended with transcripts78¢ Kalshi
Anthropic / Claude2 times: Anthropic / Claude, Q3’24 Oct '24, counts as said3 times: Anthropic / Claude, Q4’24 Feb '25, counts as said4 times: Anthropic / Claude, Q1’25 May '25, counts as said6 times: Anthropic / Claude, Q2’25 Jul '25, counts as said7 times: Anthropic / Claude, Q3’25 Oct '25, counts as said3 times: Anthropic / Claude, Q4’25 Feb '26, counts as said4 times: Anthropic / Claude, Q1’26 Apr '26, counts as said5 times: Anthropic / Claude, Q2’26 Jul '26, counts as saidrising8/8100%7/888%14/8317%89%transcripts from the transcript model90¢ Kalshi
Graviton0 times: Graviton, Q3’24 Oct '241 time: Graviton, Q4’24 Feb '25, counts as said1 time: Graviton, Q1’25 May '25, counts as said1 time: Graviton, Q2’25 Jul '25, counts as said1 time: Graviton, Q3’25 Oct '25, counts as said7 times: Graviton, Q4’25 Feb '26, counts as said5 times: Graviton, Q1’26 Apr '26, counts as said5 times: Graviton, Q2’26 Jul '26, counts as saidrising7/888%4/850%12/8314%85%transcripts from the transcript model91¢ Kalshi
Alexa+ / Alexa Plus0 times: Alexa+ / Alexa Plus, Q3’24 Oct '240 times: Alexa+ / Alexa Plus, Q4’24 Feb '256 times: Alexa+ / Alexa Plus, Q1’25 May '25, counts as said8 times: Alexa+ / Alexa Plus, Q2’25 Jul '25, counts as said3 times: Alexa+ / Alexa Plus, Q3’25 Oct '25, counts as said3 times: Alexa+ / Alexa Plus, Q4’25 Feb '26, counts as said2 times: Alexa+ / Alexa Plus, Q1’26 Apr '26, counts as said3 times: Alexa+ / Alexa Plus, Q2’26 Jul '26, counts as saidrising6/875%6/875%6/837%85%n=5+tx from settlement history blended with transcripts88¢ Kalshi
Live Sports0 times: Live Sports, Q3’24 Oct '241 time: Live Sports, Q4’24 Feb '25, counts as said1 time: Live Sports, Q1’25 May '25, counts as said2 times: Live Sports, Q2’25 Jul '25, counts as said4 times: Live Sports, Q3’25 Oct '25, counts as said2 times: Live Sports, Q4’25 Feb '26, counts as said2 times: Live Sports, Q1’26 Apr '26, counts as said1 time: Live Sports, Q2’26 Jul '26, counts as saidrising7/888%7/888%17/8320%85%n=4+tx from settlement history blended with transcripts83¢ Kalshi
Prime Day2 times: Prime Day, Q3’24 Oct '24, counts as said1 time: Prime Day, Q4’24 Feb '25, counts as said3 times: Prime Day, Q1’25 May '25, counts as said5 times: Prime Day, Q2’25 Jul '25, counts as said1 time: Prime Day, Q3’25 Oct '25, counts as said0 times: Prime Day, Q4’25 Feb '264 times: Prime Day, Q1’26 Apr '26, counts as said7 times: Prime Day, Q2’26 Jul '26, counts as saidrising7/888%7/888%30/8336%84%n=6+tx from settlement history blended with transcripts88¢ Kalshi
Tariff0 times: Tariff, Q3’24 Oct '240 times: Tariff, Q4’24 Feb '2515 times: Tariff, Q1’25 May '25, counts as said9 times: Tariff, Q2’25 Jul '25, counts as said1 time: Tariff, Q3’25 Oct '25, counts as said1 time: Tariff, Q4’25 Feb '26, counts as said1 time: Tariff, Q1’26 Apr '26, counts as said7 times: Tariff, Q2’26 Jul '26, counts as saidsteady6/875%6/875%6/837%84%n=5+tx from settlement history blended with transcripts96¢ Kalshi
OpenAI0 times: OpenAI, Q3’24 Oct '240 times: OpenAI, Q4’24 Feb '250 times: OpenAI, Q1’25 May '250 times: OpenAI, Q2’25 Jul '250 times: OpenAI, Q3’25 Oct '253 times: OpenAI, Q4’25 Feb '26, counts as said9 times: OpenAI, Q1’26 Apr '26, counts as said3 times: OpenAI, Q2’26 Jul '26, counts as saidrising3/838%3/838%4/835%83%n=3+tx from settlement history blended with transcripts82¢ Kalshi
NVIDIA5 times: NVIDIA, Q3’24 Oct '24, counts as said2 times: NVIDIA, Q4’24 Feb '25, counts as said2 times: NVIDIA, Q1’25 May '25, counts as said3 times: NVIDIA, Q2’25 Jul '25, counts as said6 times: NVIDIA, Q3’25 Oct '25, counts as said0 times: NVIDIA, Q4’25 Feb '263 times: NVIDIA, Q1’26 Apr '26, counts as said3 times: NVIDIA, Q2’26 Jul '26, counts as saidsteady7/888%6/875%11/8313%81%transcripts from the transcript model78¢ Kalshi
Sponsored Products2 times: Sponsored Products, Q3’24 Oct '24, counts as said2 times: Sponsored Products, Q4’24 Feb '25, counts as said0 times: Sponsored Products, Q1’25 May '251 time: Sponsored Products, Q2’25 Jul '25, counts as said1 time: Sponsored Products, Q3’25 Oct '25, counts as said1 time: Sponsored Products, Q4’25 Feb '26, counts as said1 time: Sponsored Products, Q1’26 Apr '26, counts as said1 time: Sponsored Products, Q2’26 Jul '26, counts as saidfalling7/888%6/875%17/8320%69%n=4+tx from settlement history blended with transcripts72¢ Kalshi
Third Party Seller1 time: Third Party Seller, Q3’24 Oct '24, counts as said1 time: Third Party Seller, Q4’24 Feb '25, counts as said2 times: Third Party Seller, Q1’25 May '25, counts as said1 time: Third Party Seller, Q2’25 Jul '25, counts as said2 times: Third Party Seller, Q3’25 Oct '25, counts as said2 times: Third Party Seller, Q4’25 Feb '26, counts as said1 time: Third Party Seller, Q1’26 Apr '26, counts as said0 times: Third Party Seller, Q2’26 Jul '26steady7/888%6/875%40/8348%61%n=5+tx from settlement history blended with transcripts56¢ Kalshi
Supply Chain0 times: Supply Chain, Q3’24 Oct '242 times: Supply Chain, Q4’24 Feb '25, counts as said2 times: Supply Chain, Q1’25 May '25, counts as said0 times: Supply Chain, Q2’25 Jul '250 times: Supply Chain, Q3’25 Oct '250 times: Supply Chain, Q4’25 Feb '261 time: Supply Chain, Q1’26 Apr '26, counts as said3 times: Supply Chain, Q2’26 Jul '26, counts as saidrising4/850%1/812%19/8323%59%n=5+tx from settlement history blended with transcripts77¢ Kalshi
Continuum0 times: Continuum, Q3’24 Oct '240 times: Continuum, Q4’24 Feb '250 times: Continuum, Q1’25 May '250 times: Continuum, Q2’25 Jul '250 times: Continuum, Q3’25 Oct '250 times: Continuum, Q4’25 Feb '260 times: Continuum, Q1’26 Apr '265 times: Continuum, Q2’26 Jul '26, counts as saidrising1/812%1/812%1/831%53%transcripts from the transcript model66¢ Kalshi
Pinterest0 times: Pinterest, Q3’24 Oct '240 times: Pinterest, Q4’24 Feb '251 time: Pinterest, Q1’25 May '25, counts as said0 times: Pinterest, Q2’25 Jul '250 times: Pinterest, Q3’25 Oct '250 times: Pinterest, Q4’25 Feb '260 times: Pinterest, Q1’26 Apr '261 time: Pinterest, Q2’26 Jul '26, counts as saidsteady2/825%2/825%3/834%45%n=1+tx from settlement history blended with transcripts25¢ Kalshi
Iran / Middle East0 times: Iran / Middle East, Q3’24 Oct '240 times: Iran / Middle East, Q4’24 Feb '250 times: Iran / Middle East, Q1’25 May '250 times: Iran / Middle East, Q2’25 Jul '250 times: Iran / Middle East, Q3’25 Oct '250 times: Iran / Middle East, Q4’25 Feb '260 times: Iran / Middle East, Q1’26 Apr '261 time: Iran / Middle East, Q2’26 Jul '26, counts as saidrising1/812%1/812%9/8311%41%n=1+tx from settlement history blended with transcripts42¢ Kalshi
Snowflake0 times: Snowflake, Q3’24 Oct '240 times: Snowflake, Q4’24 Feb '250 times: Snowflake, Q1’25 May '250 times: Snowflake, Q2’25 Jul '250 times: Snowflake, Q3’25 Oct '250 times: Snowflake, Q4’25 Feb '260 times: Snowflake, Q1’26 Apr '261 time: Snowflake, Q2’26 Jul '26, counts as saidrising1/812%1/812%1/831%41%n=1+tx from settlement history blended with transcripts32¢ Kalshi
China0 times: China, Q3’24 Oct '240 times: China, Q4’24 Feb '255 times: China, Q1’25 May '25, counts as said2 times: China, Q2’25 Jul '25, counts as said0 times: China, Q3’25 Oct '250 times: China, Q4’25 Feb '260 times: China, Q1’26 Apr '260 times: China, Q2’26 Jul '26falling2/825%2/825%31/8337%15%n=4+tx from settlement history blended with transcripts20¢ Kalshi
Layoff / Job Cutsnever said0 times: Layoff / Job Cuts, Q3’24 Oct '240 times: Layoff / Job Cuts, Q4’24 Feb '250 times: Layoff / Job Cuts, Q1’25 May '250 times: Layoff / Job Cuts, Q2’25 Jul '250 times: Layoff / Job Cuts, Q3’25 Oct '250 times: Layoff / Job Cuts, Q4’25 Feb '260 times: Layoff / Job Cuts, Q1’26 Apr '260 times: Layoff / Job Cuts, Q2’26 Jul '26steady0/80%0/80%0/830%13%n=1+tx from settlement history blended with transcripts10¢ Kalshi
Drone0 times: Drone, Q3’24 Oct '240 times: Drone, Q4’24 Feb '250 times: Drone, Q1’25 May '250 times: Drone, Q2’25 Jul '250 times: Drone, Q3’25 Oct '250 times: Drone, Q4’25 Feb '260 times: Drone, Q1’26 Apr '260 times: Drone, Q2’26 Jul '26steady0/80%0/80%3/834%11%n=3+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

1–40 of 63, most settled first · page 1 of 2
Amazon: every word with settled markets, most settled first
WordQ3’24Oct '24Q4’24Feb '25Q1’25May '25Q2’25Jul '25Q3’25Oct '25Q4’25Feb '26Q1’26Apr '26Q2’26last callTrendLast 8ScriptedAll-timeProbability
Project Kuiper0 times: Project Kuiper, Q3’24 Oct '240 times: Project Kuiper, Q4’24 Feb '251 time: Project Kuiper, Q1’25 May '25, counts as said8 times: Project Kuiper, Q2’25 Jul '25, counts as said0 times: Project Kuiper, Q3’25 Oct '250 times: Project Kuiper, Q4’25 Feb '260 times: Project Kuiper, Q1’26 Apr '260 times: Project Kuiper, Q2’26 Jul '26falling2/825%2/825%5/836%20%n=4+tx from settlement history blended with transcripts
RxPass0 times: RxPass, Q3’24 Oct '240 times: RxPass, Q4’24 Feb '250 times: RxPass, Q1’25 May '250 times: RxPass, Q2’25 Jul '250 times: RxPass, Q3’25 Oct '250 times: RxPass, Q4’25 Feb '260 times: RxPass, Q1’26 Apr '260 times: RxPass, Q2’26 Jul '26steady0/80%0/80%4/835%11%n=4+tx from settlement history blended with transcripts
Data Center6 times: Data Center, Q3’24 Oct '24, counts as said2 times: Data Center, Q4’24 Feb '25, counts as said1 time: Data Center, Q1’25 May '25, counts as said1 time: Data Center, Q2’25 Jul '25, counts as said3 times: Data Center, Q3’25 Oct '25, counts as said2 times: Data Center, Q4’25 Feb '26, counts as said3 times: Data Center, Q1’26 Apr '26, counts as said12 times: Data Center, Q2’26 Jul '26, counts as saidrising8/8100%5/862%30/8336%91%n=3+tx from settlement history blended with transcripts
Rufus1 time: Rufus, Q3’24 Oct '24, counts as said7 times: Rufus, Q4’24 Feb '25, counts as said0 times: Rufus, Q1’25 May '250 times: Rufus, Q2’25 Jul '254 times: Rufus, Q3’25 Oct '25, counts as said8 times: Rufus, Q4’25 Feb '26, counts as said8 times: Rufus, Q1’26 Apr '26, counts as said0 times: Rufus, Q2’26 Jul '26rising5/862%5/862%7/838%76%n=3+tx from settlement history blended with transcripts
AWS / Amazon Web Services29 times: AWS / Amazon Web Services, Q3’24 Oct '24, counts as said30 times: AWS / Amazon Web Services, Q4’24 Feb '25, counts as said18 times: AWS / Amazon Web Services, Q1’25 May '25, counts as said33 times: AWS / Amazon Web Services, Q2’25 Jul '25, counts as said27 times: AWS / Amazon Web Services, Q3’25 Oct '25, counts as said40 times: AWS / Amazon Web Services, Q4’25 Feb '26, counts as said32 times: AWS / Amazon Web Services, Q1’26 Apr '26, counts as said33 times: AWS / Amazon Web Services, Q2’26 Jul '26, counts as saidsteady8/8100%8/8100%69/8383%97%n=2+tx from settlement history blended with transcripts
Operating Margin4 times: Operating Margin, Q3’24 Oct '24, counts as said4 times: Operating Margin, Q4’24 Feb '25, counts as said4 times: Operating Margin, Q1’25 May '25, counts as said7 times: Operating Margin, Q2’25 Jul '25, counts as said7 times: Operating Margin, Q3’25 Oct '25, counts as said6 times: Operating Margin, Q4’25 Feb '26, counts as said6 times: Operating Margin, Q1’26 Apr '26, counts as said4 times: Operating Margin, Q2’26 Jul '26, counts as saidsteady8/8100%8/8100%70/8384%92%n=2+tx from settlement history blended with transcripts
Prime Video2 times: Prime Video, Q3’24 Oct '24, counts as said2 times: Prime Video, Q4’24 Feb '25, counts as said2 times: Prime Video, Q1’25 May '25, counts as said3 times: Prime Video, Q2’25 Jul '25, counts as said4 times: Prime Video, Q3’25 Oct '25, counts as said2 times: Prime Video, Q4’25 Feb '26, counts as said2 times: Prime Video, Q1’26 Apr '26, counts as said5 times: Prime Video, Q2’26 Jul '26, counts as saidrising8/8100%8/8100%37/8345%88%n=2+tx from settlement history blended with transcripts
Silicon2 times: Silicon, Q3’24 Oct '24, counts as said1 time: Silicon, Q4’24 Feb '25, counts as said2 times: Silicon, Q1’25 May '25, counts as said3 times: Silicon, Q2’25 Jul '25, counts as said4 times: Silicon, Q3’25 Oct '25, counts as said3 times: Silicon, Q4’25 Feb '26, counts as said3 times: Silicon, Q1’26 Apr '26, counts as said1 time: Silicon, Q2’26 Jul '26, counts as saidsteady8/8100%8/8100%13/8316%88%n=2+tx from settlement history blended with transcripts
Grocery3 times: Grocery, Q3’24 Oct '24, counts as said2 times: Grocery, Q4’24 Feb '25, counts as said1 time: Grocery, Q1’25 May '25, counts as said0 times: Grocery, Q2’25 Jul '2518 times: Grocery, Q3’25 Oct '25, counts as said7 times: Grocery, Q4’25 Feb '26, counts as said2 times: Grocery, Q1’26 Apr '26, counts as said7 times: Grocery, Q2’26 Jul '26, counts as saidrising7/888%7/888%44/8353%91%n=2+tx from settlement history blended with transcripts
Subscription1 time: Subscription, Q3’24 Oct '24, counts as said0 times: Subscription, Q4’24 Feb '250 times: Subscription, Q1’25 May '251 time: Subscription, Q2’25 Jul '25, counts as said1 time: Subscription, Q3’25 Oct '25, counts as said0 times: Subscription, Q4’25 Feb '260 times: Subscription, Q1’26 Apr '260 times: Subscription, Q2’26 Jul '26falling3/838%1/812%29/8335%33%n=2+tx from settlement history blended with transcripts
Advertising7 times: Advertising, Q3’24 Oct '24, counts as said5 times: Advertising, Q4’24 Feb '25, counts as said7 times: Advertising, Q1’25 May '25, counts as said10 times: Advertising, Q2’25 Jul '25, counts as said11 times: Advertising, Q3’25 Oct '25, counts as said5 times: Advertising, Q4’25 Feb '26, counts as said11 times: Advertising, Q1’26 Apr '26, counts as said0 times: Advertising, Q2’26 Jul '26steady7/888%7/888%57/8369%86%n=1+tx from settlement history blended with transcripts
AI / Artificial Intelligence10+ times46 times: AI / Artificial Intelligence 10+ times, Q3’24 Oct '24, counts as said58 times: AI / Artificial Intelligence 10+ times, Q4’24 Feb '25, counts as said44 times: AI / Artificial Intelligence 10+ times, Q1’25 May '25, counts as said37 times: AI / Artificial Intelligence 10+ times, Q2’25 Jul '25, counts as said35 times: AI / Artificial Intelligence 10+ times, Q3’25 Oct '25, counts as said57 times: AI / Artificial Intelligence 10+ times, Q4’25 Feb '26, counts as said61 times: AI / Artificial Intelligence 10+ times, Q1’26 Apr '26, counts as said49 times: AI / Artificial Intelligence 10+ times, Q2’26 Jul '26, counts as saidsteady8/8100%8/8100%14/8317%91%n=1+tx from settlement history blended with transcripts
Alexa6 times: Alexa, Q3’24 Oct '24, counts as said2 times: Alexa, Q4’24 Feb '25, counts as said9 times: Alexa, Q1’25 May '25, counts as said4 times: Alexa, Q2’25 Jul '25, counts as said2 times: Alexa, Q3’25 Oct '25, counts as said5 times: Alexa, Q4’25 Feb '26, counts as said2 times: Alexa, Q1’26 Apr '26, counts as said5 times: Alexa, Q2’26 Jul '26, counts as saidsteady8/8100%7/888%31/8337%88%n=1+tx from settlement history blended with transcripts
Amazon Bedrock1 time: Amazon Bedrock, Q3’24 Oct '24, counts as said2 times: Amazon Bedrock, Q4’24 Feb '25, counts as said1 time: Amazon Bedrock, Q1’25 May '25, counts as said1 time: Amazon Bedrock, Q2’25 Jul '25, counts as said1 time: Amazon Bedrock, Q3’25 Oct '25, counts as said1 time: Amazon Bedrock, Q4’25 Feb '26, counts as said2 times: Amazon Bedrock, Q1’26 Apr '26, counts as said3 times: Amazon Bedrock, Q2’26 Jul '26, counts as saidrising8/8100%8/8100%12/8314%81%n=1+tx from settlement history blended with transcripts
Amazon Leo / Project Kuiper0 times: Amazon Leo / Project Kuiper, Q3’24 Oct '240 times: Amazon Leo / Project Kuiper, Q4’24 Feb '251 time: Amazon Leo / Project Kuiper, Q1’25 May '25, counts as said8 times: Amazon Leo / Project Kuiper, Q2’25 Jul '25, counts as said0 times: Amazon Leo / Project Kuiper, Q3’25 Oct '253 times: Amazon Leo / Project Kuiper, Q4’25 Feb '26, counts as said6 times: Amazon Leo / Project Kuiper, Q1’26 Apr '26, counts as said1 time: Amazon Leo / Project Kuiper, Q2’26 Jul '26, counts as saidrising5/862%5/862%8/8310%79%n=1+tx from settlement history blended with transcripts
America12 times: America, Q3’24 Oct '24, counts as said6 times: America, Q4’24 Feb '25, counts as said9 times: America, Q1’25 May '25, counts as said5 times: America, Q2’25 Jul '25, counts as said7 times: America, Q3’25 Oct '25, counts as said6 times: America, Q4’25 Feb '26, counts as said5 times: America, Q1’26 Apr '26, counts as said4 times: America, Q2’26 Jul '26, counts as saidfalling8/8100%8/8100%81/8398%92%n=1+tx from settlement history blended with transcripts
Anthropic1 time: Anthropic, Q3’24 Oct '24, counts as said3 times: Anthropic, Q4’24 Feb '25, counts as said3 times: Anthropic, Q1’25 May '25, counts as said3 times: Anthropic, Q2’25 Jul '25, counts as said6 times: Anthropic, Q3’25 Oct '25, counts as said3 times: Anthropic, Q4’25 Feb '26, counts as said4 times: Anthropic, Q1’26 Apr '26, counts as said3 times: Anthropic, Q2’26 Jul '26, counts as saidrising8/8100%7/888%14/8317%89%n=1+tx from settlement history blended with transcripts
AWS20+ times33 times: AWS 20+ times, Q3’24 Oct '24, counts as said33 times: AWS 20+ times, Q4’24 Feb '25, counts as said23 times: AWS 20+ times, Q1’25 May '25, counts as said41 times: AWS 20+ times, Q2’25 Jul '25, counts as said31 times: AWS 20+ times, Q3’25 Oct '25, counts as said42 times: AWS 20+ times, Q4’25 Feb '26, counts as said35 times: AWS 20+ times, Q1’26 Apr '26, counts as said37 times: AWS 20+ times, Q2’26 Jul '26, counts as saidsteady8/8100%4/850%20/8324%81%n=1+tx from settlement history blended with transcripts
Content0 times: Content, Q3’24 Oct '240 times: Content, Q4’24 Feb '251 time: Content, Q1’25 May '25, counts as said0 times: Content, Q2’25 Jul '251 time: Content, Q3’25 Oct '25, counts as said0 times: Content, Q4’25 Feb '262 times: Content, Q1’26 Apr '26, counts as said0 times: Content, Q2’26 Jul '26rising3/838%3/838%71/8386%48%n=1+tx from settlement history blended with transcripts
Delivery17 times: Delivery, Q3’24 Oct '24, counts as said17 times: Delivery, Q4’24 Feb '25, counts as said14 times: Delivery, Q1’25 May '25, counts as said16 times: Delivery, Q2’25 Jul '25, counts as said14 times: Delivery, Q3’25 Oct '25, counts as said20 times: Delivery, Q4’25 Feb '26, counts as said10 times: Delivery, Q1’26 Apr '26, counts as said8 times: Delivery, Q2’26 Jul '26, counts as saidfalling8/8100%8/8100%70/8384%95%n=1+tx from settlement history blended with transcripts
Emerging Country2 times: Emerging Country, Q3’24 Oct '24, counts as said0 times: Emerging Country, Q4’24 Feb '250 times: Emerging Country, Q1’25 May '252 times: Emerging Country, Q2’25 Jul '25, counts as said0 times: Emerging Country, Q3’25 Oct '250 times: Emerging Country, Q4’25 Feb '260 times: Emerging Country, Q1’26 Apr '260 times: Emerging Country, Q2’26 Jul '26falling2/825%1/812%9/8311%27%n=1+tx from settlement history blended with transcripts
Fulfillment network7 times: Fulfillment network, Q3’24 Oct '24, counts as said5 times: Fulfillment network, Q4’24 Feb '25, counts as said4 times: Fulfillment network, Q1’25 May '25, counts as said1 time: Fulfillment network, Q2’25 Jul '25, counts as said3 times: Fulfillment network, Q3’25 Oct '25, counts as said6 times: Fulfillment network, Q4’25 Feb '26, counts as said3 times: Fulfillment network, Q1’26 Apr '26, counts as said2 times: Fulfillment network, Q2’26 Jul '26, counts as saidfalling8/8100%7/888%35/8342%88%n=1+tx from settlement history blended with transcripts
Inflation1 time: Inflation, Q3’24 Oct '24, counts as said1 time: Inflation, Q4’24 Feb '25, counts as said1 time: Inflation, Q1’25 May '25, counts as said1 time: Inflation, Q2’25 Jul '25, counts as said1 time: Inflation, Q3’25 Oct '25, counts as said1 time: Inflation, Q4’25 Feb '26, counts as said2 times: Inflation, Q1’26 Apr '26, counts as said3 times: Inflation, Q2’26 Jul '26, counts as saidrising8/8100%8/8100%23/8328%82%n=1+tx from settlement history blended with transcripts
International13 times: International, Q3’24 Oct '24, counts as said5 times: International, Q4’24 Feb '25, counts as said7 times: International, Q1’25 May '25, counts as said10 times: International, Q2’25 Jul '25, counts as said4 times: International, Q3’25 Oct '25, counts as said5 times: International, Q4’25 Feb '26, counts as said2 times: International, Q1’26 Apr '26, counts as said3 times: International, Q2’26 Jul '26, counts as saidfalling8/8100%8/8100%79/8395%89%n=1+tx from settlement history blended with transcripts
Labor Market1 time: Labor Market, Q3’24 Oct '24, counts as said1 time: Labor Market, Q4’24 Feb '25, counts as said1 time: Labor Market, Q1’25 May '25, counts as said1 time: Labor Market, Q2’25 Jul '25, counts as said1 time: Labor Market, Q3’25 Oct '25, counts as said1 time: Labor Market, Q4’25 Feb '26, counts as said1 time: Labor Market, Q1’26 Apr '26, counts as said1 time: Labor Market, Q2’26 Jul '26, counts as saidsteady8/8100%8/8100%21/8325%76%n=1+tx from settlement history blended with transcripts
Margin19 times: Margin, Q3’24 Oct '24, counts as said11 times: Margin, Q4’24 Feb '25, counts as said8 times: Margin, Q1’25 May '25, counts as said11 times: Margin, Q2’25 Jul '25, counts as said8 times: Margin, Q3’25 Oct '25, counts as said7 times: Margin, Q4’25 Feb '26, counts as said7 times: Margin, Q1’26 Apr '26, counts as said10 times: Margin, Q2’26 Jul '26, counts as saidfalling8/8100%8/8100%82/8399%94%n=1+tx from settlement history blended with transcripts
Marketplace0 times: Marketplace, Q3’24 Oct '241 time: Marketplace, Q4’24 Feb '25, counts as said1 time: Marketplace, Q1’25 May '25, counts as said2 times: Marketplace, Q2’25 Jul '25, counts as said0 times: Marketplace, Q3’25 Oct '250 times: Marketplace, Q4’25 Feb '260 times: Marketplace, Q1’26 Apr '260 times: Marketplace, Q2’26 Jul '26falling3/838%2/825%21/8325%29%n=1+tx from settlement history blended with transcripts
Middle East0 times: Middle East, Q3’24 Oct '240 times: Middle East, Q4’24 Feb '250 times: Middle East, Q1’25 May '250 times: Middle East, Q2’25 Jul '250 times: Middle East, Q3’25 Oct '250 times: Middle East, Q4’25 Feb '260 times: Middle East, Q1’26 Apr '261 time: Middle East, Q2’26 Jul '26, counts as saidrising1/812%1/812%9/8311%41%n=1+tx from settlement history blended with transcripts
Physical Store1 time: Physical Store, Q3’24 Oct '24, counts as said0 times: Physical Store, Q4’24 Feb '250 times: Physical Store, Q1’25 May '251 time: Physical Store, Q2’25 Jul '25, counts as said2 times: Physical Store, Q3’25 Oct '25, counts as said1 time: Physical Store, Q4’25 Feb '26, counts as said0 times: Physical Store, Q1’26 Apr '260 times: Physical Store, Q2’26 Jul '26steady4/850%2/825%23/8328%51%n=1+tx from settlement history blended with transcripts
Prime10+ times17 times: Prime 10+ times, Q3’24 Oct '24, counts as said10 times: Prime 10+ times, Q4’24 Feb '25, counts as said11 times: Prime 10+ times, Q1’25 May '25, counts as said14 times: Prime 10+ times, Q2’25 Jul '25, counts as said9 times: Prime 10+ times, Q3’25 Oct '25, below the threshold11 times: Prime 10+ times, Q4’25 Feb '26, counts as said14 times: Prime 10+ times, Q1’26 Apr '26, counts as said15 times: Prime 10+ times, Q2’26 Jul '26, counts as saidsteady7/888%4/850%68/8382%70%n=1+tx from settlement history blended with transcripts
Rainier0 times: Rainier, Q3’24 Oct '240 times: Rainier, Q4’24 Feb '250 times: Rainier, Q1’25 May '250 times: Rainier, Q2’25 Jul '258 times: Rainier, Q3’25 Oct '25, counts as said4 times: Rainier, Q4’25 Feb '26, counts as said0 times: Rainier, Q1’26 Apr '260 times: Rainier, Q2’26 Jul '26rising2/825%1/812%2/832%68%n=1+tx from settlement history blended with transcripts
Settle / Settlement1 time: Settle / Settlement, Q3’24 Oct '24, counts as said1 time: Settle / Settlement, Q4’24 Feb '25, counts as said5 times: Settle / Settlement, Q1’25 May '25, counts as said4 times: Settle / Settlement, Q2’25 Jul '25, counts as said4 times: Settle / Settlement, Q3’25 Oct '25, counts as said2 times: Settle / Settlement, Q4’25 Feb '26, counts as said1 time: Settle / Settlement, Q1’26 Apr '26, counts as said1 time: Settle / Settlement, Q2’26 Jul '26, counts as saidsteady8/8100%8/8100%69/8383%84%n=1+tx from settlement history blended with transcripts
Severance0 times: Severance, Q3’24 Oct '240 times: Severance, Q4’24 Feb '250 times: Severance, Q1’25 May '250 times: Severance, Q2’25 Jul '255 times: Severance, Q3’25 Oct '25, counts as said1 time: Severance, Q4’25 Feb '26, counts as said0 times: Severance, Q1’26 Apr '260 times: Severance, Q2’26 Jul '26rising2/825%2/825%4/835%56%n=1+tx from settlement history blended with transcripts
Bank of America1 time: Bank of America, Q3’24 Oct '24, counts as said0 times: Bank of America, Q4’24 Feb '251 time: Bank of America, Q1’25 May '25, counts as said1 time: Bank of America, Q2’25 Jul '25, counts as said1 time: Bank of America, Q3’25 Oct '25, counts as said0 times: Bank of America, Q4’25 Feb '261 time: Bank of America, Q1’26 Apr '26, counts as said1 time: Bank of America, Q2’26 Jul '26, counts as saidsteady6/875%0/80%48/8358%53%n=1+tx from settlement history blended with transcripts
Black Friday0 times: Black Friday, Q3’24 Oct '242 times: Black Friday, Q4’24 Feb '25, counts as said0 times: Black Friday, Q1’25 May '250 times: Black Friday, Q2’25 Jul '251 time: Black Friday, Q3’25 Oct '25, counts as said0 times: Black Friday, Q4’25 Feb '260 times: Black Friday, Q1’26 Apr '260 times: Black Friday, Q2’26 Jul '26falling2/825%2/825%9/8311%25%n=1+tx from settlement history blended with transcripts
Cyber Monday0 times: Cyber Monday, Q3’24 Oct '241 time: Cyber Monday, Q4’24 Feb '25, counts as said0 times: Cyber Monday, Q1’25 May '250 times: Cyber Monday, Q2’25 Jul '250 times: Cyber Monday, Q3’25 Oct '250 times: Cyber Monday, Q4’25 Feb '260 times: Cyber Monday, Q1’26 Apr '260 times: Cyber Monday, Q2’26 Jul '26steady1/812%1/812%7/838%17%n=1+tx from settlement history blended with transcripts
Delivery10+ times17 times: Delivery 10+ times, Q3’24 Oct '24, counts as said17 times: Delivery 10+ times, Q4’24 Feb '25, counts as said14 times: Delivery 10+ times, Q1’25 May '25, counts as said16 times: Delivery 10+ times, Q2’25 Jul '25, counts as said14 times: Delivery 10+ times, Q3’25 Oct '25, counts as said20 times: Delivery 10+ times, Q4’25 Feb '26, counts as said10 times: Delivery 10+ times, Q1’26 Apr '26, counts as said8 times: Delivery 10+ times, Q2’26 Jul '26, below the thresholdfalling7/888%7/888%17/8320%48%n=1+tx from settlement history blended with transcripts
Emissionnever said0 times: Emission, Q3’24 Oct '240 times: Emission, Q4’24 Feb '250 times: Emission, Q1’25 May '250 times: Emission, Q2’25 Jul '250 times: Emission, Q3’25 Oct '250 times: Emission, Q4’25 Feb '260 times: Emission, Q1’26 Apr '260 times: Emission, Q2’26 Jul '26steady0/80%0/80%0/830%14%n=1+tx from settlement history blended with transcripts
Fiscalnever said 10+ times0 times: Fiscal 10+ times, Q3’24 Oct '240 times: Fiscal 10+ times, Q4’24 Feb '250 times: Fiscal 10+ times, Q1’25 May '250 times: Fiscal 10+ times, Q2’25 Jul '250 times: Fiscal 10+ times, Q3’25 Oct '250 times: Fiscal 10+ times, Q4’25 Feb '260 times: Fiscal 10+ times, Q1’26 Apr '260 times: Fiscal 10+ times, Q2’26 Jul '26steady0/80%0/80%0/830%2%n=1+tx from settlement history blended with transcripts
FTC0 times: FTC, Q3’24 Oct '240 times: FTC, Q4’24 Feb '250 times: FTC, Q1’25 May '250 times: FTC, Q2’25 Jul '252 times: FTC, Q3’25 Oct '25, counts as said0 times: FTC, Q4’25 Feb '260 times: FTC, Q1’26 Apr '260 times: FTC, Q2’26 Jul '26steady1/812%1/812%1/831%27%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

More words (23 left)

Appearances and settled record

latest 12

Our transcript counts matched how 175 of 178 settled words resolved (98.3%). How we check.

Recent appearances and how their listed words settled
DateAppearanceTextWordsSettledOur count agreed
Jul 30, 2026Earnings call FY26 Q2Speaker-labelled transcript4529 yes · 16 no45/45 (100%)
Apr 29, 2026Earnings call FY26 Q1Speaker-labelled transcript1712 yes · 5 no16/17 (94%)
Feb 5, 2026Earnings call FY25 Q4Speaker-labelled transcript3017 yes · 13 no30/30 (100%)
Oct 30, 2025Earnings call FY25 Q3Speaker-labelled transcript3022 yes · 8 no28/30 (93%)
Jul 31, 2025Earnings call FY25 Q2Speaker-labelled transcript3622 yes · 14 no36/36 (100%)
May 1, 2025Earnings call FY25 Q1Speaker-labelled transcript2010 yes · 10 no20/20 (100%)
Feb 6, 2025Earnings call FY24 Q4Speaker-labelled transcript0––
Oct 31, 2024Earnings call FY24 Q3Speaker-labelled transcript0––
Aug 1, 2024Earnings call FY24 Q2Speaker-labelled transcript0––
Apr 30, 2024Earnings call FY24 Q1Speaker-labelled transcript0––
Feb 1, 2024Earnings call FY23 Q4Speaker-labelled transcript0––
Oct 26, 2023Earnings call FY23 Q3Speaker-labelled transcript0––

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

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