Kroger (KR)

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As of Oct 23, 2026, Kalshi has settled 52 word markets on Kroger’s earnings calls since 2025, on 21 different words. Next call: Dec 3, 2026 (11 words listed).

“GLP-1” on the Sep 11 call · 15:18 · said 2 times. Play the clip

Next: Earnings call ·

11 words listed · Occasion page

Who counts: Kalshi: company speakers + operator

Kalshi

Kroger: the words listed for Thu, Dec 3, how often each was said on past occasions, and the probability for this one
WordQ3’24Dec '24Q4’24Mar '25Q1’25Jun '25Q2’25Sep '25Q3’25year agoQ4’26Mar '26Q1’27Jun '26Q2’27last callTrendLast 8ScriptedAll-timeProbabilityMarket
GLP-14 times: GLP-1, Q3’24 Dec '24, counts as said4 times: GLP-1, Q4’24 Mar '25, counts as said3 times: GLP-1, Q1’25 Jun '25, counts as said1 time: GLP-1, Q2’25 Sep '25, counts as said1 time: GLP-1, Q3’25 Dec '25, counts as said2 times: GLP-1, Q4’26 Mar '26, counts as said3 times: GLP-1, Q1’27 Jun '26, counts as said2 times: GLP-1, Q2’27 Sep '26, counts as saidfalling8/8100%8/8100%10/7613%87%n=4+tx from settlement history blended with transcripts84¢ Kalshi
AI / Artificial Intelligence2 times: AI / Artificial Intelligence, Q3’24 Dec '24, counts as said2 times: AI / Artificial Intelligence, Q4’24 Mar '25, counts as said2 times: AI / Artificial Intelligence, Q1’25 Jun '25, counts as said10 times: AI / Artificial Intelligence, Q2’25 Sep '25, counts as said5 times: AI / Artificial Intelligence, Q3’25 Dec '25, counts as said9 times: AI / Artificial Intelligence, Q4’26 Mar '26, counts as said3 times: AI / Artificial Intelligence, Q1’27 Jun '26, counts as said0 times: AI / Artificial Intelligence, Q2’27 Sep '26steady7/888%7/888%12/7616%85%n=3+tx from settlement history blended with transcripts84¢ Kalshi
SNAP / Food Stamp0 times: SNAP / Food Stamp, Q3’24 Dec '244 times: SNAP / Food Stamp, Q4’24 Mar '25, counts as said0 times: SNAP / Food Stamp, Q1’25 Jun '250 times: SNAP / Food Stamp, Q2’25 Sep '259 times: SNAP / Food Stamp, Q3’25 Dec '25, counts as said0 times: SNAP / Food Stamp, Q4’26 Mar '263 times: SNAP / Food Stamp, Q1’27 Jun '26, counts as said2 times: SNAP / Food Stamp, Q2’27 Sep '26, counts as saidrising4/850%3/838%26/7634%79%n=4+tx from settlement history blended with transcripts64¢ Kalshi
Shrink / Theft2 times: Shrink / Theft, Q3’24 Dec '24, counts as said4 times: Shrink / Theft, Q4’24 Mar '25, counts as said7 times: Shrink / Theft, Q1’25 Jun '25, counts as said4 times: Shrink / Theft, Q2’25 Sep '25, counts as said2 times: Shrink / Theft, Q3’25 Dec '25, counts as said5 times: Shrink / Theft, Q4’26 Mar '26, counts as said0 times: Shrink / Theft, Q1’27 Jun '264 times: Shrink / Theft, Q2’27 Sep '26, counts as saidsteady7/888%6/875%48/7663%78%transcripts from the transcript model72¢ Kalshi
Produce1 time: Produce, Q3’24 Dec '24, counts as said4 times: Produce, Q4’24 Mar '25, counts as said1 time: Produce, Q1’25 Jun '25, counts as said1 time: Produce, Q2’25 Sep '25, counts as said0 times: Produce, Q3’25 Dec '251 time: Produce, Q4’26 Mar '26, counts as said1 time: Produce, Q1’27 Jun '26, counts as said4 times: Produce, Q2’27 Sep '26, counts as saidsteady7/888%5/862%65/7686%77%n=4+tx from settlement history blended with transcripts76¢ Kalshi
Inflation Reduction Act / IRA0 times: Inflation Reduction Act / IRA, Q3’24 Dec '240 times: Inflation Reduction Act / IRA, Q4’24 Mar '250 times: Inflation Reduction Act / IRA, Q1’25 Jun '250 times: Inflation Reduction Act / IRA, Q2’25 Sep '253 times: Inflation Reduction Act / IRA, Q3’25 Dec '25, counts as said6 times: Inflation Reduction Act / IRA, Q4’26 Mar '26, counts as said3 times: Inflation Reduction Act / IRA, Q1’27 Jun '26, counts as said3 times: Inflation Reduction Act / IRA, Q2’27 Sep '26, counts as saidrising4/850%4/850%4/765%76%transcripts from the transcript model62¢ Kalshi
Deflation0 times: Deflation, Q3’24 Dec '240 times: Deflation, Q4’24 Mar '250 times: Deflation, Q1’25 Jun '250 times: Deflation, Q2’25 Sep '250 times: Deflation, Q3’25 Dec '254 times: Deflation, Q4’26 Mar '26, counts as said3 times: Deflation, Q1’27 Jun '26, counts as said1 time: Deflation, Q2’27 Sep '26, counts as saidrising3/838%3/838%40/7653%73%n=2+tx from settlement history blended with transcripts74¢ Kalshi
Instacart0 times: Instacart, Q3’24 Dec '240 times: Instacart, Q4’24 Mar '250 times: Instacart, Q1’25 Jun '251 time: Instacart, Q2’25 Sep '25, counts as said5 times: Instacart, Q3’25 Dec '25, counts as said2 times: Instacart, Q4’26 Mar '26, counts as said0 times: Instacart, Q1’27 Jun '261 time: Instacart, Q2’27 Sep '26, counts as saidrising4/850%4/850%11/7614%70%n=4+tx from settlement history blended with transcripts75¢ Kalshi
Tariff3 times: Tariff, Q3’24 Dec '24, counts as said5 times: Tariff, Q4’24 Mar '25, counts as said6 times: Tariff, Q1’25 Jun '25, counts as said3 times: Tariff, Q2’25 Sep '25, counts as said0 times: Tariff, Q3’25 Dec '250 times: Tariff, Q4’26 Mar '260 times: Tariff, Q1’27 Jun '266 times: Tariff, Q2’27 Sep '26, counts as saidfalling5/862%4/850%6/768%62%n=4+tx from settlement history blended with transcripts40¢ Kalshi
Giant Eagle0 times: Giant Eagle, Q3’24 Dec '240 times: Giant Eagle, Q4’24 Mar '250 times: Giant Eagle, Q1’25 Jun '250 times: Giant Eagle, Q2’25 Sep '250 times: Giant Eagle, Q3’25 Dec '250 times: Giant Eagle, Q4’26 Mar '260 times: Giant Eagle, Q1’27 Jun '265 times: Giant Eagle, Q2’27 Sep '26, counts as saidrising1/812%1/812%2/763%58%n=1+tx from settlement history blended with transcripts74¢ Kalshi
Divestiture1 time: Divestiture, Q3’24 Dec '24, counts as said0 times: Divestiture, Q4’24 Mar '250 times: Divestiture, Q1’25 Jun '250 times: Divestiture, Q2’25 Sep '250 times: Divestiture, Q3’25 Dec '250 times: Divestiture, Q4’26 Mar '260 times: Divestiture, Q1’27 Jun '260 times: Divestiture, Q2’27 Sep '26falling1/812%0/80%3/764%20%transcripts from the transcript model15¢ 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

1–13 of 13, most settled first
Kroger: every word with settled markets, most settled first
WordQ3’24Dec '24Q4’24Mar '25Q1’25Jun '25Q2’25Sep '25Q3’25Dec '25Q4’26Mar '26Q1’27Jun '26Q2’27last callTrendLast 8ScriptedAll-timeProbability
Albertsons5 times: Albertsons, Q3’24 Dec '24, counts as said0 times: Albertsons, Q4’24 Mar '250 times: Albertsons, Q1’25 Jun '250 times: Albertsons, Q2’25 Sep '251 time: Albertsons, Q3’25 Dec '25, counts as said0 times: Albertsons, Q4’26 Mar '260 times: Albertsons, Q1’27 Jun '260 times: Albertsons, Q2’27 Sep '26falling2/825%1/812%12/7616%22%n=4+tx from settlement history blended with transcripts
Dividend1 time: Dividend, Q3’24 Dec '24, counts as said1 time: Dividend, Q4’24 Mar '25, counts as said1 time: Dividend, Q1’25 Jun '25, counts as said5 times: Dividend, Q2’25 Sep '25, counts as said1 time: Dividend, Q3’25 Dec '25, counts as said0 times: Dividend, Q4’26 Mar '260 times: Dividend, Q1’27 Jun '260 times: Dividend, Q2’27 Sep '26falling5/862%5/862%69/7691%28%n=4+tx from settlement history blended with transcripts
Economy0 times: Economy, Q3’24 Dec '240 times: Economy, Q4’24 Mar '250 times: Economy, Q1’25 Jun '252 times: Economy, Q2’25 Sep '25, counts as said1 time: Economy, Q3’25 Dec '25, counts as said0 times: Economy, Q4’26 Mar '260 times: Economy, Q1’27 Jun '260 times: Economy, Q2’27 Sep '26steady2/825%0/80%46/7661%22%n=4+tx from settlement history blended with transcripts
Ocado0 times: Ocado, Q3’24 Dec '241 time: Ocado, Q4’24 Mar '25, counts as said7 times: Ocado, Q1’25 Jun '25, counts as said0 times: Ocado, Q2’25 Sep '250 times: Ocado, Q3’25 Dec '251 time: Ocado, Q4’26 Mar '26, counts as said2 times: Ocado, Q1’27 Jun '26, counts as said0 times: Ocado, Q2’27 Sep '26falling4/850%1/812%18/7624%49%n=3+tx from settlement history blended with transcripts
Holiday3 times: Holiday, Q3’24 Dec '24, counts as said1 time: Holiday, Q4’24 Mar '25, counts as said0 times: Holiday, Q1’25 Jun '250 times: Holiday, Q2’25 Sep '254 times: Holiday, Q3’25 Dec '25, counts as said1 time: Holiday, Q4’26 Mar '26, counts as said0 times: Holiday, Q1’27 Jun '260 times: Holiday, Q2’27 Sep '26falling4/850%3/838%42/7655%60%n=2+tx from settlement history blended with transcripts
Personalization3 times: Personalization, Q3’24 Dec '24, counts as said0 times: Personalization, Q4’24 Mar '250 times: Personalization, Q1’25 Jun '251 time: Personalization, Q2’25 Sep '25, counts as said0 times: Personalization, Q3’25 Dec '250 times: Personalization, Q4’26 Mar '261 time: Personalization, Q1’27 Jun '26, counts as said0 times: Personalization, Q2’27 Sep '26falling3/838%2/825%25/7633%24%n=2+tx from settlement history blended with transcripts
Traffic2 times: Traffic, Q3’24 Dec '24, counts as said5 times: Traffic, Q4’24 Mar '25, counts as said0 times: Traffic, Q1’25 Jun '250 times: Traffic, Q2’25 Sep '251 time: Traffic, Q3’25 Dec '25, counts as said3 times: Traffic, Q4’26 Mar '26, counts as said3 times: Traffic, Q1’27 Jun '26, counts as said2 times: Traffic, Q2’27 Sep '26, counts as saidsteady6/875%5/862%35/7646%77%n=1+tx from settlement history blended with transcripts
2500 times: 250, Q3’24 Dec '240 times: 250, Q4’24 Mar '250 times: 250, Q1’25 Jun '250 times: 250, Q2’25 Sep '250 times: 250, Q3’25 Dec '250 times: 250, Q4’26 Mar '260 times: 250, Q1’27 Jun '260 times: 250, Q2’27 Sep '26steady0/80%0/80%10/7613%12%n=1+tx from settlement history blended with transcripts
AI2 times: AI, Q3’24 Dec '24, counts as said2 times: AI, Q4’24 Mar '25, counts as said2 times: AI, Q1’25 Jun '25, counts as said9 times: AI, Q2’25 Sep '25, counts as said4 times: AI, Q3’25 Dec '25, counts as said8 times: AI, Q4’26 Mar '26, counts as said3 times: AI, Q1’27 Jun '26, counts as said0 times: AI, Q2’27 Sep '26steady7/888%7/888%12/7616%70%n=1+tx from settlement history blended with transcripts
Air New Zealand0 times: Air New Zealand, Q3’24 Dec '240 times: Air New Zealand, Q4’24 Mar '250 times: Air New Zealand, Q1’25 Jun '250 times: Air New Zealand, Q2’25 Sep '250 times: Air New Zealand, Q3’25 Dec '251 time: Air New Zealand, Q4’26 Mar '26, counts as said0 times: Air New Zealand, Q1’27 Jun '260 times: Air New Zealand, Q2’27 Sep '26steady1/812%1/812%1/761%21%n=1+tx from settlement history blended with transcripts
Aldi0 times: Aldi, Q3’24 Dec '240 times: Aldi, Q4’24 Mar '250 times: Aldi, Q1’25 Jun '250 times: Aldi, Q2’25 Sep '250 times: Aldi, Q3’25 Dec '251 time: Aldi, Q4’26 Mar '26, counts as said1 time: Aldi, Q1’27 Jun '26, counts as said0 times: Aldi, Q2’27 Sep '26rising2/825%0/80%3/764%27%n=1+tx from settlement history blended with transcripts
Iran / Middle East0 times: Iran / Middle East, Q3’24 Dec '240 times: Iran / Middle East, Q4’24 Mar '250 times: Iran / Middle East, Q1’25 Jun '250 times: Iran / Middle East, Q2’25 Sep '250 times: Iran / Middle East, Q3’25 Dec '250 times: Iran / Middle East, Q4’26 Mar '261 time: Iran / Middle East, Q1’27 Jun '26, counts as said0 times: Iran / Middle East, Q2’27 Sep '26steady1/812%0/80%1/761%20%n=1+tx from settlement history blended with transcripts
Vitacost0 times: Vitacost, Q3’24 Dec '240 times: Vitacost, Q4’24 Mar '250 times: Vitacost, Q1’25 Jun '250 times: Vitacost, Q2’25 Sep '250 times: Vitacost, Q3’25 Dec '252 times: Vitacost, Q4’26 Mar '26, counts as said0 times: Vitacost, Q1’27 Jun '260 times: Vitacost, Q2’27 Sep '26rising1/812%1/812%13/7617%25%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 52 of 52 settled words resolved (100.0%). How we check.

Recent appearances and how their listed words settled
DateAppearanceTextWordsSettledOur count agreed
Sep 11, 2026Earnings call FY27 Q2Speaker-labelled transcript137 yes · 6 no13/13 (100%)
Jun 18, 2026Earnings call FY27 Q1Speaker-labelled transcript146 yes · 8 no14/14 (100%)
Mar 5, 2026Earnings call FY26 Q4Speaker-labelled transcript126 yes · 6 no12/12 (100%)
Dec 4, 2025Earnings call FY25 Q3Speaker-labelled transcript139 yes · 4 no13/13 (100%)
Sep 11, 2025Earnings call FY25 Q2Speaker-labelled transcript0––
Jun 20, 2025Earnings call FY25 Q1Speaker-labelled transcript0––
Mar 6, 2025Earnings call FY24 Q4Speaker-labelled transcript0––
Dec 5, 2024Earnings call FY24 Q3Speaker-labelled transcript0––
Sep 13, 2024Earnings call FY24 Q2Speaker-labelled transcript0––
Jun 20, 2024Earnings call FY24 Q1Speaker-labelled transcript0––
Mar 2, 2023Earnings call FY23 Q4Speaker-labelled transcript0––
Dec 1, 2022Earnings call FY23 Q3Speaker-labelled transcript0––

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

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