Carvana (CVNA)

EarningsTranscriptsUpdated
Export
Copy
API
Open as TSVfor agentsOpen as JSONcolumnarOpen as Markdowntable
GET /api/v1/entity/carvana

As of Oct 23, 2026, Kalshi has settled 37 word markets on Carvana’s earnings calls since 2026, on 17 different words. Next call: Oct 28, 2026 (13 words listed).

“AI / Artificial Intelligence” on the Jul 29 call · 23:20 · said once. Play the clip

Next: Earnings call ·

13 words listed · Occasion page

Who counts: Kalshi: company speakers + operator

Kalshi

Carvana: the words listed for Wed, Oct 28, 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
ADESA11 times: ADESA, Q3’24 Oct '24, counts as said5 times: ADESA, Q4’24 Feb '25, counts as said5 times: ADESA, Q1’25 May '25, counts as said15 times: ADESA, Q2’25 Jul '25, counts as said11 times: ADESA, Q3’25 Oct '25, counts as said2 times: ADESA, Q4’25 Feb '26, counts as said6 times: ADESA, Q1’26 Apr '26, counts as said2 times: ADESA, Q2’26 Jul '26, counts as saidfalling8/8100%4/850%18/3847%88%transcripts from the transcript model86¢ Kalshi
AI / Artificial Intelligence0 times: AI / Artificial Intelligence, Q3’24 Oct '243 times: AI / Artificial Intelligence, Q4’24 Feb '25, counts as said0 times: AI / Artificial Intelligence, Q1’25 May '252 times: AI / Artificial Intelligence, Q2’25 Jul '25, counts as said4 times: AI / Artificial Intelligence, Q3’25 Oct '25, counts as said5 times: AI / Artificial Intelligence, Q4’25 Feb '26, counts as said1 time: AI / Artificial Intelligence, Q1’26 Apr '26, counts as said1 time: AI / Artificial Intelligence, Q2’26 Jul '26, counts as saidrising6/875%1/812%10/3826%82%n=3+tx from settlement history blended with transcripts80¢ Kalshi
Acquired / Acquisition5 times: Acquired / Acquisition, Q3’24 Oct '24, counts as said3 times: Acquired / Acquisition, Q4’24 Feb '25, counts as said3 times: Acquired / Acquisition, Q1’25 May '25, counts as said1 time: Acquired / Acquisition, Q2’25 Jul '25, counts as said1 time: Acquired / Acquisition, Q3’25 Oct '25, counts as said2 times: Acquired / Acquisition, Q4’25 Feb '26, counts as said1 time: Acquired / Acquisition, Q1’26 Apr '26, counts as said1 time: Acquired / Acquisition, Q2’26 Jul '26, counts as saidfalling8/8100%4/850%34/3889%81%n=3+tx from settlement history blended with transcripts93¢ Kalshi
Market Share4 times: Market Share, Q3’24 Oct '24, counts as said12 times: Market Share, Q4’24 Feb '25, counts as said5 times: Market Share, Q1’25 May '25, counts as said1 time: Market Share, Q2’25 Jul '25, counts as said0 times: Market Share, Q3’25 Oct '253 times: Market Share, Q4’25 Feb '26, counts as said1 time: Market Share, Q1’26 Apr '26, counts as said1 time: Market Share, Q2’26 Jul '26, counts as saidfalling7/888%5/862%32/3884%73%n=1+tx from settlement history blended with transcripts74¢ Kalshi
Tariff0 times: Tariff, Q3’24 Oct '241 time: Tariff, Q4’24 Feb '25, counts as said5 times: Tariff, Q1’25 May '25, counts as said2 times: Tariff, Q2’25 Jul '25, counts as said1 time: Tariff, Q3’25 Oct '25, counts as said0 times: Tariff, Q4’25 Feb '261 time: Tariff, Q1’26 Apr '26, counts as said3 times: Tariff, Q2’26 Jul '26, counts as saidsteady6/875%3/838%6/3816%68%n=3+tx from settlement history blended with transcripts69¢ Kalshi
Sebastian0 times: Sebastian, Q3’24 Oct '241 time: Sebastian, Q4’24 Feb '25, counts as said0 times: Sebastian, Q1’25 May '250 times: Sebastian, Q2’25 Jul '250 times: Sebastian, Q3’25 Oct '251 time: Sebastian, Q4’25 Feb '26, counts as said0 times: Sebastian, Q1’26 Apr '263 times: Sebastian, Q2’26 Jul '26, counts as saidrising3/838%0/80%17/3845%59%n=1+tx from settlement history blended with transcripts58¢ Kalshi
Auction5 times: Auction, Q3’24 Oct '24, counts as said1 time: Auction, Q4’24 Feb '25, counts as said3 times: Auction, Q1’25 May '25, counts as said0 times: Auction, Q2’25 Jul '254 times: Auction, Q3’25 Oct '25, counts as said1 time: Auction, Q4’25 Feb '26, counts as said1 time: Auction, Q1’26 Apr '26, counts as said0 times: Auction, Q2’26 Jul '26falling6/875%2/825%28/3874%59%n=3+tx from settlement history blended with transcripts62¢ Kalshi
Title / Registration0 times: Title / Registration, Q3’24 Oct '244 times: Title / Registration, Q4’24 Feb '25, counts as said0 times: Title / Registration, Q1’25 May '252 times: Title / Registration, Q2’25 Jul '25, counts as said2 times: Title / Registration, Q3’25 Oct '25, counts as said4 times: Title / Registration, Q4’25 Feb '26, counts as said1 time: Title / Registration, Q1’26 Apr '26, counts as said0 times: Title / Registration, Q2’26 Jul '26steady5/862%1/812%18/3847%49%n=1+tx from settlement history blended with transcripts38¢ Kalshi
CARLI0 times: CARLI, Q3’24 Oct '240 times: CARLI, Q4’24 Feb '250 times: CARLI, Q1’25 May '251 time: CARLI, Q2’25 Jul '25, counts as said0 times: CARLI, Q3’25 Oct '251 time: CARLI, Q4’25 Feb '26, counts as said3 times: CARLI, Q1’26 Apr '26, counts as said0 times: CARLI, Q2’26 Jul '26rising3/838%0/80%5/3813%43%transcripts from the transcript model50¢ Kalshi
Ally0 times: Ally, Q3’24 Oct '240 times: Ally, Q4’24 Feb '251 time: Ally, Q1’25 May '25, counts as said0 times: Ally, Q2’25 Jul '252 times: Ally, Q3’25 Oct '25, counts as said1 time: Ally, Q4’25 Feb '26, counts as said0 times: Ally, Q1’26 Apr '260 times: Ally, Q2’26 Jul '26steady3/838%2/825%17/3845%34%n=3+tx from settlement history blended with transcripts18¢ Kalshi
Automation0 times: Automation, Q3’24 Oct '240 times: Automation, Q4’24 Feb '250 times: Automation, Q1’25 May '250 times: Automation, Q2’25 Jul '252 times: Automation, Q3’25 Oct '25, counts as said0 times: Automation, Q4’25 Feb '261 time: Automation, Q1’26 Apr '26, counts as said0 times: Automation, Q2’26 Jul '26rising2/825%0/80%3/388%34%n=3+tx from settlement history blended with transcripts18¢ 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 '262 times: Iran / Middle East, Q1’26 Apr '26, counts as said0 times: Iran / Middle East, Q2’26 Jul '26rising1/812%0/80%1/383%23%n=1+tx from settlement history blended with transcripts14¢ Kalshi
Insurance0 times: Insurance, Q3’24 Oct '240 times: Insurance, Q4’24 Feb '250 times: Insurance, Q1’25 May '250 times: Insurance, Q2’25 Jul '252 times: Insurance, Q3’25 Oct '25, counts as said0 times: Insurance, Q4’25 Feb '260 times: Insurance, Q1’26 Apr '260 times: Insurance, Q2’26 Jul '26steady1/812%0/80%2/385%20%n=3+tx from settlement history blended with transcripts12¢ 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

1–6 of 6, most settled first
Carvana: 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
Bridgecrestnever said0 times: Bridgecrest, Q3’24 Oct '240 times: Bridgecrest, Q4’24 Feb '250 times: Bridgecrest, Q1’25 May '250 times: Bridgecrest, Q2’25 Jul '250 times: Bridgecrest, Q3’25 Oct '250 times: Bridgecrest, Q4’25 Feb '260 times: Bridgecrest, Q1’26 Apr '260 times: Bridgecrest, Q2’26 Jul '26steady0/80%0/80%0/380%10%n=3+tx from settlement history blended with transcripts
DriveTime0 times: DriveTime, Q3’24 Oct '240 times: DriveTime, Q4’24 Feb '250 times: DriveTime, Q1’25 May '250 times: DriveTime, Q2’25 Jul '250 times: DriveTime, Q3’25 Oct '250 times: DriveTime, Q4’25 Feb '260 times: DriveTime, Q1’26 Apr '260 times: DriveTime, Q2’26 Jul '26steady0/80%0/80%2/385%10%n=3+tx from settlement history blended with transcripts
Same Day5 times: Same Day, Q3’24 Oct '24, counts as said3 times: Same Day, Q4’24 Feb '25, counts as said0 times: Same Day, Q1’25 May '250 times: Same Day, Q2’25 Jul '256 times: Same Day, Q3’25 Oct '25, counts as said0 times: Same Day, Q4’25 Feb '260 times: Same Day, Q1’26 Apr '260 times: Same Day, Q2’26 Jul '26falling3/838%1/812%7/3818%38%n=3+tx from settlement history blended with transcripts
Headwind0 times: Headwind, Q3’24 Oct '240 times: Headwind, Q4’24 Feb '250 times: Headwind, Q1’25 May '250 times: Headwind, Q2’25 Jul '250 times: Headwind, Q3’25 Oct '251 time: Headwind, Q4’25 Feb '26, counts as said0 times: Headwind, Q1’26 Apr '263 times: Headwind, Q2’26 Jul '26, counts as saidrising2/825%0/80%18/3847%42%n=1+tx from settlement history blended with transcripts
Stadiumnever said0 times: Stadium, Q3’24 Oct '240 times: Stadium, Q4’24 Feb '250 times: Stadium, Q1’25 May '250 times: Stadium, Q2’25 Jul '250 times: Stadium, Q3’25 Oct '250 times: Stadium, Q4’25 Feb '260 times: Stadium, Q1’26 Apr '260 times: Stadium, Q2’26 Jul '26steady0/80%0/80%0/380%12%n=1+tx from settlement history blended with transcripts
Tailwind0 times: Tailwind, Q3’24 Oct '240 times: Tailwind, Q4’24 Feb '250 times: Tailwind, Q1’25 May '251 time: Tailwind, Q2’25 Jul '25, counts as said1 time: Tailwind, Q3’25 Oct '25, counts as said0 times: Tailwind, Q4’25 Feb '260 times: Tailwind, Q1’26 Apr '261 time: Tailwind, Q2’26 Jul '26, counts as saidrising3/838%0/80%16/3842%36%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 37 of 37 settled words resolved (100.0%). How we check.

Recent appearances and how their listed words settled
DateAppearanceTextWordsSettledOur count agreed
Jul 29, 2026Earnings call FY26 Q2Speaker-labelled transcript145 yes · 9 no14/14 (100%)
Apr 29, 2026Earnings call FY26 Q1Speaker-labelled transcript135 yes · 8 no13/13 (100%)
Feb 19, 2026Earnings call FY25 Q4Speaker-labelled transcript104 yes · 6 no10/10 (100%)
Oct 30, 2025Earnings call FY25 Q3Speaker-labelled transcript0––
Jul 31, 2025Earnings call FY25 Q2Speaker-labelled transcript0––
May 7, 2025Earnings call FY25 Q1Speaker-labelled transcript0––
Feb 19, 2025Earnings call FY24 Q4Speaker-labelled transcript0––
Oct 30, 2024Earnings call FY24 Q3Speaker-labelled transcript0––
Jul 31, 2024Earnings call FY24 Q2Speaker-labelled transcript0––
May 1, 2024Earnings call FY24 Q1Speaker-labelled transcript0––
Feb 22, 2024Earnings call FY23 Q4Speaker-labelled transcript0––
Nov 2, 2023Earnings call FY23 Q3Speaker-labelled transcript0––

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

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