Accenture (ACN)

EarningsTranscriptsUpdated

As of Oct 25, 2026, Kalshi has settled 14 word markets on Accenture’s earnings calls since 2026, on 14 different words. Next call: Dec 17, 2026 (14 words listed).

Next: Earnings call ·

14 words listed · Occasion page

Who counts: Kalshi: company speakers + operator

Kalshi

Accenture: the words listed for Thu, Dec 17, how often each was said on past occasions, and the probability for this one
WordQ1’25Dec '24Q2’25Mar '25Q3’25Jun '25Q4’25Sep '25Q1’26year agoQ2’26Mar '26Q3’26Jun '26Q4’26last callTrendLast 8ScriptedAll-timeProbabilityMarket
Acquired / Acquisition10 times: Acquired / Acquisition, Q1’25 Dec '24, counts as said8 times: Acquired / Acquisition, Q2’25 Mar '25, counts as said13 times: Acquired / Acquisition, Q3’25 Jun '25, counts as said9 times: Acquired / Acquisition, Q4’25 Sep '25, counts as said7 times: Acquired / Acquisition, Q1’26 Dec '25, counts as said20 times: Acquired / Acquisition, Q2’26 Mar '26, counts as said23 times: Acquired / Acquisition, Q3’26 Jun '26, counts as said17 times: Acquired / Acquisition, Q4’26 Oct '26, counts as saidrising8/8100%8/8100%71/7792%97%n=1+tx from settlement history blended with transcripts88¢ Kalshi
Bookingevery call7 times: Booking, Q1’25 Dec '24, counts as said12 times: Booking, Q2’25 Mar '25, counts as said11 times: Booking, Q3’25 Jun '25, counts as said13 times: Booking, Q4’25 Sep '25, counts as said11 times: Booking, Q1’26 Dec '25, counts as said17 times: Booking, Q2’26 Mar '26, counts as said11 times: Booking, Q3’26 Jun '26, counts as said19 times: Booking, Q4’26 Oct '26, counts as saidrising8/8100%8/8100%77/77100%96%n=1+tx from settlement history blended with transcripts88¢ Kalshi
Managed Service18 times: Managed Service, Q1’25 Dec '24, counts as said11 times: Managed Service, Q2’25 Mar '25, counts as said7 times: Managed Service, Q3’25 Jun '25, counts as said14 times: Managed Service, Q4’25 Sep '25, counts as said5 times: Managed Service, Q1’26 Dec '25, counts as said7 times: Managed Service, Q2’26 Mar '26, counts as said18 times: Managed Service, Q3’26 Jun '26, counts as said18 times: Managed Service, Q4’26 Oct '26, counts as saidsteady8/8100%8/8100%29/7738%96%n=1+tx from settlement history blended with transcripts82¢ Kalshi
Federal8 times: Federal, Q1’25 Dec '24, counts as said18 times: Federal, Q2’25 Mar '25, counts as said2 times: Federal, Q3’25 Jun '25, counts as said11 times: Federal, Q4’25 Sep '25, counts as said7 times: Federal, Q1’26 Dec '25, counts as said9 times: Federal, Q2’26 Mar '26, counts as said5 times: Federal, Q3’26 Jun '26, counts as said7 times: Federal, Q4’26 Oct '26, counts as saidfalling8/8100%8/8100%43/7756%93%n=1+tx from settlement history blended with transcripts82¢ Kalshi
Reinvention12 times: Reinvention, Q1’25 Dec '24, counts as said13 times: Reinvention, Q2’25 Mar '25, counts as said14 times: Reinvention, Q3’25 Jun '25, counts as said12 times: Reinvention, Q4’25 Sep '25, counts as said7 times: Reinvention, Q1’26 Dec '25, counts as said6 times: Reinvention, Q2’26 Mar '26, counts as said4 times: Reinvention, Q3’26 Jun '26, counts as said8 times: Reinvention, Q4’26 Oct '26, counts as saidfalling8/8100%8/8100%24/7731%93%n=1+tx from settlement history blended with transcripts86¢ Kalshi
Digital Core7 times: Digital Core, Q1’25 Dec '24, counts as said7 times: Digital Core, Q2’25 Mar '25, counts as said3 times: Digital Core, Q3’25 Jun '25, counts as said10 times: Digital Core, Q4’25 Sep '25, counts as said8 times: Digital Core, Q1’26 Dec '25, counts as said3 times: Digital Core, Q2’26 Mar '26, counts as said4 times: Digital Core, Q3’26 Jun '26, counts as said6 times: Digital Core, Q4’26 Oct '26, counts as saidsteady8/8100%8/8100%29/7738%92%n=1+tx from settlement history blended with transcripts87¢ Kalshi
Song2 times: Song, Q1’25 Dec '24, counts as said6 times: Song, Q2’25 Mar '25, counts as said4 times: Song, Q3’25 Jun '25, counts as said2 times: Song, Q4’25 Sep '25, counts as said4 times: Song, Q1’26 Dec '25, counts as said3 times: Song, Q2’26 Mar '26, counts as said0 times: Song, Q3’26 Jun '263 times: Song, Q4’26 Oct '26, counts as saidfalling7/888%7/888%17/7722%83%n=1+tx from settlement history blended with transcripts84¢ Kalshi
Iran / Middle East1 time: Iran / Middle East, Q1’25 Dec '24, counts as said0 times: Iran / Middle East, Q2’25 Mar '250 times: Iran / Middle East, Q3’25 Jun '250 times: Iran / Middle East, Q4’25 Sep '250 times: Iran / Middle East, Q1’26 Dec '252 times: Iran / Middle East, Q2’26 Mar '26, counts as said6 times: Iran / Middle East, Q3’26 Jun '26, counts as said3 times: Iran / Middle East, Q4’26 Oct '26, counts as saidrising4/850%2/825%14/7718%78%n=1+tx from settlement history blended with transcripts67¢ Kalshi
Cybersecurity2 times: Cybersecurity, Q1’25 Dec '24, counts as said0 times: Cybersecurity, Q2’25 Mar '252 times: Cybersecurity, Q3’25 Jun '25, counts as said1 time: Cybersecurity, Q4’25 Sep '25, counts as said1 time: Cybersecurity, Q1’26 Dec '25, counts as said4 times: Cybersecurity, Q2’26 Mar '26, counts as said13 times: Cybersecurity, Q3’26 Jun '26, counts as said0 times: Cybersecurity, Q4’26 Oct '26rising6/875%6/875%27/7735%70%n=1+tx from settlement history blended with transcripts49¢ Kalshi
Palantir0 times: Palantir, Q1’25 Dec '240 times: Palantir, Q2’25 Mar '250 times: Palantir, Q3’25 Jun '251 time: Palantir, Q4’25 Sep '25, counts as said1 time: Palantir, Q1’26 Dec '25, counts as said3 times: Palantir, Q2’26 Mar '26, counts as said1 time: Palantir, Q3’26 Jun '26, counts as said2 times: Palantir, Q4’26 Oct '26, counts as saidrising5/862%3/838%5/776%68%transcripts from the transcript model48¢ Kalshi
Agentic AI0 times: Agentic AI, Q1’25 Dec '243 times: Agentic AI, Q2’25 Mar '25, counts as said3 times: Agentic AI, Q3’25 Jun '25, counts as said5 times: Agentic AI, Q4’25 Sep '25, counts as said2 times: Agentic AI, Q1’26 Dec '25, counts as said4 times: Agentic AI, Q2’26 Mar '26, counts as said1 time: Agentic AI, Q3’26 Jun '26, counts as said0 times: Agentic AI, Q4’26 Oct '26steady6/875%6/875%6/778%54%n=1+tx from settlement history blended with transcripts52¢ Kalshi
Anthropic / Claude0 times: Anthropic / Claude, Q1’25 Dec '240 times: Anthropic / Claude, Q2’25 Mar '250 times: Anthropic / Claude, Q3’25 Jun '250 times: Anthropic / Claude, Q4’25 Sep '250 times: Anthropic / Claude, Q1’26 Dec '250 times: Anthropic / Claude, Q2’26 Mar '261 time: Anthropic / Claude, Q3’26 Jun '26, counts as said1 time: Anthropic / Claude, Q4’26 Oct '26, counts as saidrising2/825%1/812%2/773%51%n=1+tx from settlement history blended with transcripts67¢ Kalshi
Buyback / Buy Back0 times: Buyback / Buy Back, Q1’25 Dec '240 times: Buyback / Buy Back, Q2’25 Mar '250 times: Buyback / Buy Back, Q3’25 Jun '250 times: Buyback / Buy Back, Q4’25 Sep '251 time: Buyback / Buy Back, Q1’26 Dec '25, counts as said1 time: Buyback / Buy Back, Q2’26 Mar '26, counts as said1 time: Buyback / Buy Back, Q3’26 Jun '26, counts as said0 times: Buyback / Buy Back, Q4’26 Oct '26rising3/838%3/838%8/7710%34%n=1+tx from settlement history blended with transcripts35¢ Kalshi
OpenAI / ChatGPT0 times: OpenAI / ChatGPT, Q1’25 Dec '240 times: OpenAI / ChatGPT, Q2’25 Mar '250 times: OpenAI / ChatGPT, Q3’25 Jun '250 times: OpenAI / ChatGPT, Q4’25 Sep '250 times: OpenAI / ChatGPT, Q1’26 Dec '250 times: OpenAI / ChatGPT, Q2’26 Mar '261 time: OpenAI / ChatGPT, Q3’26 Jun '26, counts as said0 times: OpenAI / ChatGPT, Q4’26 Oct '26steady1/812%1/812%1/771%20%n=1+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

1–1 of 1, most settled first
Accenture: every word with settled markets, most settled first
WordQ1’25Dec '24Q2’25Mar '25Q3’25Jun '25Q4’25Sep '25Q1’26Dec '25Q2’26Mar '26Q3’26Jun '26Q4’26last callTrendLast 8ScriptedAll-timeProbability
Generative AI0 times: Generative AI, Q1’25 Dec '241 time: Generative AI, Q2’25 Mar '25, counts as said1 time: Generative AI, Q3’25 Jun '25, counts as said0 times: Generative AI, Q4’25 Sep '250 times: Generative AI, Q1’26 Dec '250 times: Generative AI, Q2’26 Mar '260 times: Generative AI, Q3’26 Jun '260 times: Generative AI, Q4’26 Oct '26falling2/825%2/825%8/7710%17%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 14 of 14 settled words resolved (100.0%). How we check.

Citeparrot.markets, “Accenture (ACN): earnings call word history”, as of Oct 25, 2026, https://parrot.markets/earnings/ACN (CC BY 4.0)

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