Avis (CAR)

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As of Oct 23, 2026, Kalshi has settled 25 word markets on Avis’ earnings calls since 2026, on 15 different words. Next call: Nov 4, 2026 (11 words listed).

Next: Earnings call ·

11 words listed · Occasion page

Who counts: Kalshi: company speakers + operator

Kalshi

Avis: the words listed for Wed, Nov 4, how often each was said on past occasions, and the probability for this one
WordQ3’24Nov '24Q4’24Feb '25Q1’25May '25Q2’25Jul '25Q3’25year agoQ4’25Feb '26Q1’26Apr '26Q2’26last callTrendLast 8ScriptedAll-timeProbabilityMarket
Leisure3 times: Leisure, Q3’24 Nov '24, counts as said8 times: Leisure, Q4’24 Feb '25, counts as said16 times: Leisure, Q1’25 May '25, counts as said1 time: Leisure, Q2’25 Jul '25, counts as said8 times: Leisure, Q3’25 Oct '25, counts as said1 time: Leisure, Q4’25 Feb '26, counts as said1 time: Leisure, Q1’26 Apr '26, counts as said2 times: Leisure, Q2’26 Jul '26, counts as saidfalling8/8100%7/888%74/7697%88%n=2+tx from settlement history blended with transcripts80¢ Kalshi
Recall / Recalled0 times: Recall / Recalled, Q3’24 Nov '243 times: Recall / Recalled, Q4’24 Feb '25, counts as said0 times: Recall / Recalled, Q1’25 May '259 times: Recall / Recalled, Q2’25 Jul '25, counts as said5 times: Recall / Recalled, Q3’25 Oct '25, counts as said7 times: Recall / Recalled, Q4’25 Feb '26, counts as said2 times: Recall / Recalled, Q1’26 Apr '26, counts as said9 times: Recall / Recalled, Q2’26 Jul '26, counts as saidrising6/875%5/862%47/7662%84%transcripts from the transcript model69¢ Kalshi
Waymo0 times: Waymo, Q3’24 Nov '240 times: Waymo, Q4’24 Feb '250 times: Waymo, Q1’25 May '2525 times: Waymo, Q2’25 Jul '25, counts as said0 times: Waymo, Q3’25 Oct '256 times: Waymo, Q4’25 Feb '26, counts as said2 times: Waymo, Q1’26 Apr '26, counts as said3 times: Waymo, Q2’26 Jul '26, counts as saidrising4/850%4/850%11/7614%78%n=2+tx from settlement history blended with transcripts46¢ Kalshi
Tariff0 times: Tariff, Q3’24 Nov '241 time: Tariff, Q4’24 Feb '25, counts as said8 times: Tariff, Q1’25 May '25, counts as said11 times: Tariff, Q2’25 Jul '25, counts as said2 times: Tariff, Q3’25 Oct '25, counts as said3 times: Tariff, Q4’25 Feb '26, counts as said0 times: Tariff, Q1’26 Apr '260 times: Tariff, Q2’26 Jul '26falling5/862%2/825%7/769%52%n=2+tx from settlement history blended with transcripts46¢ Kalshi
EV / Electric0 times: EV / Electric, Q3’24 Nov '240 times: EV / Electric, Q4’24 Feb '250 times: EV / Electric, Q1’25 May '255 times: EV / Electric, Q2’25 Jul '25, counts as said0 times: EV / Electric, Q3’25 Oct '256 times: EV / Electric, Q4’25 Feb '26, counts as said0 times: EV / Electric, Q1’26 Apr '260 times: EV / Electric, Q2’26 Jul '26rising2/825%2/825%17/7622%46%n=2+tx from settlement history blended with transcripts46¢ Kalshi
Autonomous1 time: Autonomous, Q3’24 Nov '24, counts as said0 times: Autonomous, Q4’24 Feb '250 times: Autonomous, Q1’25 May '2510 times: Autonomous, Q2’25 Jul '25, counts as said0 times: Autonomous, Q3’25 Oct '252 times: Autonomous, Q4’25 Feb '26, counts as said0 times: Autonomous, Q1’26 Apr '261 time: Autonomous, Q2’26 Jul '26, counts as saidsteady4/850%3/838%12/7616%45%n=1+tx from settlement history blended with transcripts46¢ Kalshi
Inflation2 times: Inflation, Q3’24 Nov '24, counts as said0 times: Inflation, Q4’24 Feb '253 times: Inflation, Q1’25 May '25, counts as said0 times: Inflation, Q2’25 Jul '251 time: Inflation, Q3’25 Oct '25, counts as said0 times: Inflation, Q4’25 Feb '261 time: Inflation, Q1’26 Apr '26, counts as said0 times: Inflation, Q2’26 Jul '26falling4/850%1/812%29/7638%40%n=2+tx from settlement history blended with transcripts46¢ Kalshi
Squeeze / Squeezed0 times: Squeeze / Squeezed, Q3’24 Nov '240 times: Squeeze / Squeezed, Q4’24 Feb '250 times: Squeeze / Squeezed, Q1’25 May '250 times: Squeeze / Squeezed, Q2’25 Jul '250 times: Squeeze / Squeezed, Q3’25 Oct '250 times: Squeeze / Squeezed, Q4’25 Feb '261 time: Squeeze / Squeezed, Q1’26 Apr '26, counts as said0 times: Squeeze / Squeezed, Q2’26 Jul '26steady1/812%1/812%6/768%31%n=1+tx from settlement history blended with transcripts46¢ Kalshi
Oil / Gas / Gasoline4 times: Oil / Gas / Gasoline, Q3’24 Nov '24, counts as said1 time: Oil / Gas / Gasoline, Q4’24 Feb '25, counts as said0 times: Oil / Gas / Gasoline, Q1’25 May '251 time: Oil / Gas / Gasoline, Q2’25 Jul '25, counts as said0 times: Oil / Gas / Gasoline, Q3’25 Oct '250 times: Oil / Gas / Gasoline, Q4’25 Feb '260 times: Oil / Gas / Gasoline, Q1’26 Apr '260 times: Oil / Gas / Gasoline, Q2’26 Jul '26falling3/838%1/812%40/7653%20%n=1+tx from settlement history blended with transcripts46¢ Kalshi
AI / Artificial Intelligence0 times: AI / Artificial Intelligence, Q3’24 Nov '240 times: AI / Artificial Intelligence, Q4’24 Feb '250 times: AI / Artificial Intelligence, Q1’25 May '250 times: AI / Artificial Intelligence, Q2’25 Jul '251 time: AI / Artificial Intelligence, Q3’25 Oct '25, counts as said0 times: AI / Artificial Intelligence, Q4’25 Feb '260 times: AI / Artificial Intelligence, Q1’26 Apr '260 times: AI / Artificial Intelligence, Q2’26 Jul '26steady1/812%0/80%6/768%19%n=2+tx from settlement history blended with transcripts46¢ Kalshi
Upgrade0 times: Upgrade, Q3’24 Nov '240 times: Upgrade, Q4’24 Feb '250 times: Upgrade, Q1’25 May '252 times: Upgrade, Q2’25 Jul '25, counts as said0 times: Upgrade, Q3’25 Oct '250 times: Upgrade, Q4’25 Feb '260 times: Upgrade, Q1’26 Apr '260 times: Upgrade, Q2’26 Jul '26steady1/812%1/812%19/7625%14%n=2+tx from settlement history blended with transcripts46¢ 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

1–5 of 5, most settled first
Avis: every word with settled markets, most settled first
WordQ3’24Nov '24Q4’24Feb '25Q1’25May '25Q2’25Jul '25Q3’25Oct '25Q4’25Feb '26Q1’26Apr '26Q2’26last callTrendLast 8ScriptedAll-timeProbability
Recall0 times: Recall, Q3’24 Nov '243 times: Recall, Q4’24 Feb '25, counts as said0 times: Recall, Q1’25 May '259 times: Recall, Q2’25 Jul '25, counts as said5 times: Recall, Q3’25 Oct '25, counts as said7 times: Recall, Q4’25 Feb '26, counts as said2 times: Recall, Q1’26 Apr '26, counts as said9 times: Recall, Q2’26 Jul '26, counts as saidrising6/875%5/862%47/7662%89%n=2+tx from settlement history blended with transcripts
Travel5 times: Travel, Q3’24 Nov '24, counts as said12 times: Travel, Q4’24 Feb '25, counts as said11 times: Travel, Q1’25 May '25, counts as said4 times: Travel, Q2’25 Jul '25, counts as said1 time: Travel, Q3’25 Oct '25, counts as said2 times: Travel, Q4’25 Feb '26, counts as said7 times: Travel, Q1’26 Apr '26, counts as said9 times: Travel, Q2’26 Jul '26, counts as saidsteady8/8100%8/8100%71/7693%91%n=2+tx from settlement history blended with transcripts
Syracusenever said0 times: Syracuse, Q3’24 Nov '240 times: Syracuse, Q4’24 Feb '250 times: Syracuse, Q1’25 May '250 times: Syracuse, Q2’25 Jul '250 times: Syracuse, Q3’25 Oct '250 times: Syracuse, Q4’25 Feb '260 times: Syracuse, Q1’26 Apr '260 times: Syracuse, Q2’26 Jul '26steady0/80%0/80%0/760%11%n=2+tx from settlement history blended with transcripts
World Cup0 times: World Cup, Q3’24 Nov '240 times: World Cup, Q4’24 Feb '250 times: World Cup, Q1’25 May '250 times: World Cup, Q2’25 Jul '251 time: World Cup, Q3’25 Oct '25, counts as said0 times: World Cup, Q4’25 Feb '264 times: World Cup, Q1’26 Apr '26, counts as said4 times: World Cup, Q2’26 Jul '26, counts as saidrising3/838%2/825%10/7613%72%n=1+tx from settlement history blended with transcripts
Memenever said0 times: Meme, Q3’24 Nov '240 times: Meme, Q4’24 Feb '250 times: Meme, Q1’25 May '250 times: Meme, Q2’25 Jul '250 times: Meme, Q3’25 Oct '250 times: Meme, Q4’25 Feb '260 times: Meme, Q1’26 Apr '260 times: Meme, Q2’26 Jul '26steady0/80%0/80%0/760%12%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 25 of 25 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 transcript0––
Apr 29, 2026Earnings call FY26 Q1Speaker-labelled transcript157 yes · 8 no15/15 (100%)
Feb 19, 2026Earnings call FY25 Q4Speaker-labelled transcript106 yes · 4 no10/10 (100%)
Oct 28, 2025Earnings call FY25 Q3Speaker-labelled transcript0––
Jul 30, 2025Earnings call FY25 Q2Speaker-labelled transcript0––
May 8, 2025Earnings call FY25 Q1Speaker-labelled transcript0––
Feb 12, 2025Earnings call FY24 Q4Speaker-labelled transcript0––
Nov 1, 2024Earnings call FY24 Q3Speaker-labelled transcript0––
Aug 6, 2024Earnings call FY24 Q2Speaker-labelled transcript0––
May 2, 2024Earnings call FY24 Q1Speaker-labelled transcript0––
Feb 13, 2024Earnings call FY23 Q4Speaker-labelled transcript0––
Nov 2, 2023Earnings call FY23 Q3Speaker-labelled transcript0––

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

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