Albertsons (ACI)

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As of Oct 25, 2026, Kalshi has settled 27 word markets on Albertsons’ earnings calls since 2026, on 17 different words. Next call: Jan 13, 2027 (14 words listed).

Next: Earnings call ·

14 words listed · Occasion page

Who counts: Kalshi: company speakers + operator

Kalshi

Albertsons: the words listed for Wed, Jan 13, how often each was said on past occasions, and the probability for this one
WordQ3’24Jan '25Q4’24Apr '25Q1’25Jul '25Q2’25Oct '25Q3’25year agoQ4’25Apr '26Q1’27Jul '26Q2’27last callTrendLast 8ScriptedAll-timeProbabilityMarket
AI / Artificial Intelligence4 times: AI / Artificial Intelligence, Q3’24 Jan '25, counts as said4 times: AI / Artificial Intelligence, Q4’24 Apr '25, counts as said7 times: AI / Artificial Intelligence, Q1’25 Jul '25, counts as said17 times: AI / Artificial Intelligence, Q2’25 Oct '25, counts as said27 times: AI / Artificial Intelligence, Q3’25 Jan '26, counts as said17 times: AI / Artificial Intelligence, Q4’25 Apr '26, counts as said18 times: AI / Artificial Intelligence, Q1’27 Jul '26, counts as said4 times: AI / Artificial Intelligence, Q2’27 Oct '26, counts as saidrising8/8100%8/8100%13/2162%97%n=2+tx from settlement history blended with transcripts90¢ Kalshi
Pharmacy16 times: Pharmacy, Q3’24 Jan '25, counts as said28 times: Pharmacy, Q4’24 Apr '25, counts as said43 times: Pharmacy, Q1’25 Jul '25, counts as said33 times: Pharmacy, Q2’25 Oct '25, counts as said23 times: Pharmacy, Q3’25 Jan '26, counts as said18 times: Pharmacy, Q4’25 Apr '26, counts as said13 times: Pharmacy, Q1’27 Jul '26, counts as said12 times: Pharmacy, Q2’27 Oct '26, counts as saidfalling8/8100%8/8100%19/2190%96%n=1+tx from settlement history blended with transcripts94¢ Kalshi
ACI Edge0 times: ACI Edge, Q3’24 Jan '250 times: ACI Edge, Q4’24 Apr '250 times: ACI Edge, Q1’25 Jul '250 times: ACI Edge, Q2’25 Oct '250 times: ACI Edge, Q3’25 Jan '260 times: ACI Edge, Q4’25 Apr '2618 times: ACI Edge, Q1’27 Jul '26, counts as said9 times: ACI Edge, Q2’27 Oct '26, counts as saidrising2/825%2/825%2/2110%84%n=1+tx from settlement history blended with transcripts88¢ Kalshi
Dividend4 times: Dividend, Q3’24 Jan '25, counts as said2 times: Dividend, Q4’24 Apr '25, counts as said1 time: Dividend, Q1’25 Jul '25, counts as said0 times: Dividend, Q2’25 Oct '252 times: Dividend, Q3’25 Jan '26, counts as said5 times: Dividend, Q4’25 Apr '26, counts as said1 time: Dividend, Q1’27 Jul '26, counts as said2 times: Dividend, Q2’27 Oct '26, counts as saidsteady7/888%7/888%15/2171%83%n=2+tx from settlement history blended with transcripts88¢ Kalshi
Personalization0 times: Personalization, Q3’24 Jan '250 times: Personalization, Q4’24 Apr '252 times: Personalization, Q1’25 Jul '25, counts as said3 times: Personalization, Q2’25 Oct '25, counts as said2 times: Personalization, Q3’25 Jan '26, counts as said9 times: Personalization, Q4’25 Apr '26, counts as said10 times: Personalization, Q1’27 Jul '26, counts as said0 times: Personalization, Q2’27 Oct '26rising5/862%5/862%5/2124%73%n=2+tx from settlement history blended with transcripts58¢ Kalshi
GLP-1 / GLP5 times: GLP-1 / GLP, Q3’24 Jan '25, counts as said3 times: GLP-1 / GLP, Q4’24 Apr '25, counts as said6 times: GLP-1 / GLP, Q1’25 Jul '25, counts as said6 times: GLP-1 / GLP, Q2’25 Oct '25, counts as said6 times: GLP-1 / GLP, Q3’25 Jan '26, counts as said7 times: GLP-1 / GLP, Q4’25 Apr '26, counts as said0 times: GLP-1 / GLP, Q1’27 Jul '260 times: GLP-1 / GLP, Q2’27 Oct '26falling6/875%4/850%6/2129%71%transcripts from the transcript model38¢ Kalshi
Delivery2 times: Delivery, Q3’24 Jan '25, counts as said5 times: Delivery, Q4’24 Apr '25, counts as said0 times: Delivery, Q1’25 Jul '252 times: Delivery, Q2’25 Oct '25, counts as said4 times: Delivery, Q3’25 Jan '26, counts as said5 times: Delivery, Q4’25 Apr '26, counts as said2 times: Delivery, Q1’27 Jul '26, counts as said0 times: Delivery, Q2’27 Oct '26steady6/875%6/875%19/2190%65%n=2+tx from settlement history blended with transcripts61¢ Kalshi
Economy0 times: Economy, Q3’24 Jan '250 times: Economy, Q4’24 Apr '250 times: Economy, Q1’25 Jul '250 times: Economy, Q2’25 Oct '250 times: Economy, Q3’25 Jan '260 times: Economy, Q4’25 Apr '260 times: Economy, Q1’27 Jul '261 time: Economy, Q2’27 Oct '26, counts as saidrising1/812%1/812%2/2110%35%n=2+tx from settlement history blended with transcripts38¢ Kalshi
SNAP / Food Stamp0 times: SNAP / Food Stamp, Q3’24 Jan '251 time: SNAP / Food Stamp, Q4’24 Apr '25, counts as said2 times: SNAP / Food Stamp, Q1’25 Jul '25, counts as said0 times: SNAP / Food Stamp, Q2’25 Oct '252 times: SNAP / Food Stamp, Q3’25 Jan '26, counts as said0 times: SNAP / Food Stamp, Q4’25 Apr '260 times: SNAP / Food Stamp, Q1’27 Jul '260 times: SNAP / Food Stamp, Q2’27 Oct '26falling3/838%1/812%8/2138%33%n=2+tx from settlement history blended with transcripts25¢ Kalshi
Holiday4 times: Holiday, Q3’24 Jan '25, counts as said0 times: Holiday, Q4’24 Apr '250 times: Holiday, Q1’25 Jul '251 time: Holiday, Q2’25 Oct '25, counts as said1 time: Holiday, Q3’25 Jan '26, counts as said0 times: Holiday, Q4’25 Apr '260 times: Holiday, Q1’27 Jul '260 times: Holiday, Q2’27 Oct '26falling3/838%1/812%12/2157%28%n=2+tx from settlement history blended with transcripts34¢ Kalshi
Uber0 times: Uber, Q3’24 Jan '250 times: Uber, Q4’24 Apr '250 times: Uber, Q1’25 Jul '250 times: Uber, Q2’25 Oct '251 time: Uber, Q3’25 Jan '26, counts as said0 times: Uber, Q4’25 Apr '260 times: Uber, Q1’27 Jul '260 times: Uber, Q2’27 Oct '26steady1/812%1/812%2/2110%23%n=2+tx from settlement history blended with transcripts10¢ Kalshi
Retirement0 times: Retirement, Q3’24 Jan '252 times: Retirement, Q4’24 Apr '25, counts as said0 times: Retirement, Q1’25 Jul '250 times: Retirement, Q2’25 Oct '250 times: Retirement, Q3’25 Jan '260 times: Retirement, Q4’25 Apr '261 time: Retirement, Q1’27 Jul '26, counts as said0 times: Retirement, Q2’27 Oct '26steady2/825%2/825%3/2114%22%n=1+tx from settlement history blended with transcripts13¢ Kalshi
Medicare / Medicaid0 times: Medicare / Medicaid, Q3’24 Jan '250 times: Medicare / Medicaid, Q4’24 Apr '250 times: Medicare / Medicaid, Q1’25 Jul '250 times: Medicare / Medicaid, Q2’25 Oct '251 time: Medicare / Medicaid, Q3’25 Jan '26, counts as said0 times: Medicare / Medicaid, Q4’25 Apr '260 times: Medicare / Medicaid, Q1’27 Jul '260 times: Medicare / Medicaid, Q2’27 Oct '26steady1/812%1/812%1/215%20%n=1+tx from settlement history blended with transcripts8¢ Kalshi
Tariff0 times: Tariff, Q3’24 Jan '255 times: Tariff, Q4’24 Apr '25, counts as said2 times: Tariff, Q1’25 Jul '25, counts as said2 times: Tariff, Q2’25 Oct '25, counts as said0 times: Tariff, Q3’25 Jan '260 times: Tariff, Q4’25 Apr '260 times: Tariff, Q1’27 Jul '260 times: Tariff, Q2’27 Oct '26falling3/838%2/825%3/2114%17%n=2+tx from settlement history blended with transcripts11¢ 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

1–4 of 4, most settled first
Albertsons: every word with settled markets, most settled first
WordQ3’24Jan '25Q4’24Apr '25Q1’25Jul '25Q2’25Oct '25Q3’25Jan '26Q4’25Apr '26Q1’27Jul '26Q2’27last callTrendLast 8ScriptedAll-timeProbability
GLP-15 times: GLP-1, Q3’24 Jan '25, counts as said3 times: GLP-1, Q4’24 Apr '25, counts as said5 times: GLP-1, Q1’25 Jul '25, counts as said5 times: GLP-1, Q2’25 Oct '25, counts as said3 times: GLP-1, Q3’25 Jan '26, counts as said7 times: GLP-1, Q4’25 Apr '26, counts as said0 times: GLP-1, Q1’27 Jul '260 times: GLP-1, Q2’27 Oct '26falling6/875%4/850%6/2129%64%n=2+tx from settlement history blended with transcripts
Kroger0 times: Kroger, Q3’24 Jan '250 times: Kroger, Q4’24 Apr '250 times: Kroger, Q1’25 Jul '250 times: Kroger, Q2’25 Oct '250 times: Kroger, Q3’25 Jan '260 times: Kroger, Q4’25 Apr '260 times: Kroger, Q1’27 Jul '260 times: Kroger, Q2’27 Oct '26steady0/80%0/80%1/215%12%n=1+tx from settlement history blended with transcripts
Produce1 time: Produce, Q3’24 Jan '25, counts as said1 time: Produce, Q4’24 Apr '25, counts as said0 times: Produce, Q1’25 Jul '252 times: Produce, Q2’25 Oct '25, counts as said0 times: Produce, Q3’25 Jan '260 times: Produce, Q4’25 Apr '263 times: Produce, Q1’27 Jul '26, counts as said3 times: Produce, Q2’27 Oct '26, counts as saidrising5/862%4/850%14/2167%58%n=1+tx from settlement history blended with transcripts
Traffic1 time: Traffic, Q3’24 Jan '25, counts as said3 times: Traffic, Q4’24 Apr '25, counts as said3 times: Traffic, Q1’25 Jul '25, counts as said0 times: Traffic, Q2’25 Oct '250 times: Traffic, Q3’25 Jan '265 times: Traffic, Q4’25 Apr '26, counts as said1 time: Traffic, Q1’27 Jul '26, counts as said4 times: Traffic, Q2’27 Oct '26, counts as saidrising6/875%5/862%15/2171%69%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 27 of 27 settled words resolved (100.0%). How we check.

Recent appearances and how their listed words settled
DateAppearanceTextWordsSettledOur count agreed
Oct 13, 2026Earnings call FY27 Q2Speaker-labelled transcript145 yes · 9 no14/14 (100%)
Jul 23, 2026Earnings call FY27 Q1Speaker-labelled transcript0––
Apr 14, 2026Earnings call FY25 Q4Speaker-labelled transcript0––
Jan 7, 2026Earnings call FY25 Q3Speaker-labelled transcript138 yes · 5 no13/13 (100%)
Oct 14, 2025Earnings call FY25 Q2Speaker-labelled transcript0––
Jul 15, 2025Earnings call FY25 Q1Speaker-labelled transcript0––
Apr 15, 2025Earnings call FY24 Q4Speaker-labelled transcript0––
Jan 8, 2025Earnings call FY24 Q3Speaker-labelled transcript0––
Jul 26, 2022Earnings call FY23 Q1Speaker-labelled transcript0––
Apr 12, 2022Earnings call FY22 Q4Speaker-labelled transcript0––
Jan 11, 2022Earnings call FY22 Q3Speaker-labelled transcript0––
Oct 18, 2021Earnings call FY22 Q2Speaker-labelled transcript0––

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

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