General Mills (GIS)

EarningsTranscriptsUpdated
Export
Copy
API
Open as TSVfor agentsOpen as JSONcolumnarOpen as Markdowntable
GET /api/v1/entity/general-mills

As of Oct 24, 2026, Kalshi and Polymarket have settled 71 word markets on General Mills’ earnings calls since 2026, on 41 different words. Next call: Dec 16, 2026 (16 words listed).

“Protein” on the Jul 1 call · 8:17 · said 7 times. Play the clip

Next: Earnings call ·

16 words listed · Occasion page

Who counts: Kalshi: company speakers + operator

Kalshi

General Mills: the words listed for Wed, Dec 16, how often each was said on past occasions, and the probability for this one
WordQ2’25Dec '24Q3’25Mar '25Q4’25Jun '25Q1’26Sep '25Q2’26year agoQ3’26Mar '26Q4’26Jul '26Q1’27last callTrendLast 8ScriptedAll-timeProbabilityMarket
Protein1 time: Protein, Q2’25 Dec '24, counts as said14 times: Protein, Q3’25 Mar '25, counts as said7 times: Protein, Q4’25 Jun '25, counts as said11 times: Protein, Q1’26 Sep '25, counts as said4 times: Protein, Q2’26 Dec '25, counts as said13 times: Protein, Q3’26 Mar '26, counts as said6 times: Protein, Q4’26 Jul '26, counts as said4 times: Protein, Q1’27 Sep '26, counts as saidsteady8/8100%2/825%42/7755%94%n=2+tx from settlement history blended with transcripts88¢ Kalshi
Inflation6 times: Inflation, Q2’25 Dec '24, counts as said1 time: Inflation, Q3’25 Mar '25, counts as said5 times: Inflation, Q4’25 Jun '25, counts as said6 times: Inflation, Q1’26 Sep '25, counts as said3 times: Inflation, Q2’26 Dec '25, counts as said2 times: Inflation, Q3’26 Mar '26, counts as said5 times: Inflation, Q4’26 Jul '26, counts as said6 times: Inflation, Q1’27 Sep '26, counts as saidsteady8/8100%2/825%76/7799%90%n=1+tx from settlement history blended with transcripts90¢ Kalshi
Headwind8 times: Headwind, Q2’25 Dec '24, counts as said0 times: Headwind, Q3’25 Mar '250 times: Headwind, Q4’25 Jun '256 times: Headwind, Q1’26 Sep '25, counts as said4 times: Headwind, Q2’26 Dec '25, counts as said6 times: Headwind, Q3’26 Mar '26, counts as said7 times: Headwind, Q4’26 Jul '26, counts as said4 times: Headwind, Q1’27 Sep '26, counts as saidrising6/875%2/825%57/7774%90%n=3+tx from settlement history blended with transcripts89¢ Kalshi
Totino0 times: Totino, Q2’25 Dec '245 times: Totino, Q3’25 Mar '25, counts as said2 times: Totino, Q4’25 Jun '25, counts as said2 times: Totino, Q1’26 Sep '25, counts as said3 times: Totino, Q2’26 Dec '25, counts as said4 times: Totino, Q3’26 Mar '26, counts as said6 times: Totino, Q4’26 Jul '26, counts as said4 times: Totino, Q1’27 Sep '26, counts as saidrising7/888%3/838%46/7760%90%n=3+tx from settlement history blended with transcripts86¢ Kalshi
Cheerios0 times: Cheerios, Q2’25 Dec '244 times: Cheerios, Q3’25 Mar '25, counts as said1 time: Cheerios, Q4’25 Jun '25, counts as said5 times: Cheerios, Q1’26 Sep '25, counts as said2 times: Cheerios, Q2’26 Dec '25, counts as said2 times: Cheerios, Q3’26 Mar '26, counts as said7 times: Cheerios, Q4’26 Jul '26, counts as said2 times: Cheerios, Q1’27 Sep '26, counts as saidrising7/888%1/812%63/7782%88%n=3+tx from settlement history blended with transcripts86¢ Kalshi
Supply Chain2 times: Supply Chain, Q2’25 Dec '24, counts as said1 time: Supply Chain, Q3’25 Mar '25, counts as said0 times: Supply Chain, Q4’25 Jun '255 times: Supply Chain, Q1’26 Sep '25, counts as said1 time: Supply Chain, Q2’26 Dec '25, counts as said4 times: Supply Chain, Q3’26 Mar '26, counts as said4 times: Supply Chain, Q4’26 Jul '26, counts as said1 time: Supply Chain, Q1’27 Sep '26, counts as saidrising7/888%1/812%57/7774%85%n=3+tx from settlement history blended with transcripts88¢ Kalshi
Divestiture3 times: Divestiture, Q2’25 Dec '24, counts as said0 times: Divestiture, Q3’25 Mar '251 time: Divestiture, Q4’25 Jun '25, counts as said2 times: Divestiture, Q1’26 Sep '25, counts as said1 time: Divestiture, Q2’26 Dec '25, counts as said4 times: Divestiture, Q3’26 Mar '26, counts as said2 times: Divestiture, Q4’26 Jul '26, counts as said1 time: Divestiture, Q1’27 Sep '26, counts as saidsteady7/888%3/838%43/7756%83%n=3+tx from settlement history blended with transcripts82¢ Kalshi
Wilderness2 times: Wilderness, Q2’25 Dec '24, counts as said0 times: Wilderness, Q3’25 Mar '251 time: Wilderness, Q4’25 Jun '25, counts as said1 time: Wilderness, Q1’26 Sep '25, counts as said2 times: Wilderness, Q2’26 Dec '25, counts as said0 times: Wilderness, Q3’26 Mar '265 times: Wilderness, Q4’26 Jul '26, counts as said4 times: Wilderness, Q1’27 Sep '26, counts as saidrising6/875%3/838%18/7723%80%n=3+tx from settlement history blended with transcripts82¢ Kalshi
Humanization0 times: Humanization, Q2’25 Dec '240 times: Humanization, Q3’25 Mar '252 times: Humanization, Q4’25 Jun '25, counts as said0 times: Humanization, Q1’26 Sep '251 time: Humanization, Q2’26 Dec '25, counts as said0 times: Humanization, Q3’26 Mar '263 times: Humanization, Q4’26 Jul '26, counts as said3 times: Humanization, Q1’27 Sep '26, counts as saidrising4/850%0/80%14/7718%73%n=1+tx from settlement history blended with transcripts72¢ Kalshi
Blue Buffalo2 times: Blue Buffalo, Q2’25 Dec '24, counts as said8 times: Blue Buffalo, Q3’25 Mar '25, counts as said9 times: Blue Buffalo, Q4’25 Jun '25, counts as said0 times: Blue Buffalo, Q1’26 Sep '250 times: Blue Buffalo, Q2’26 Dec '250 times: Blue Buffalo, Q3’26 Mar '262 times: Blue Buffalo, Q4’26 Jul '26, counts as said1 time: Blue Buffalo, Q1’27 Sep '26, counts as saidfalling5/862%2/825%27/7735%61%n=3+tx from settlement history blended with transcripts79¢ Kalshi
Tariff0 times: Tariff, Q2’25 Dec '240 times: Tariff, Q3’25 Mar '253 times: Tariff, Q4’25 Jun '25, counts as said0 times: Tariff, Q1’26 Sep '256 times: Tariff, Q2’26 Dec '25, counts as said0 times: Tariff, Q3’26 Mar '264 times: Tariff, Q4’26 Jul '26, counts as said0 times: Tariff, Q1’27 Sep '26rising3/838%0/80%4/775%56%n=3+tx from settlement history blended with transcripts30¢ Kalshi
Whitebridge4 times: Whitebridge, Q2’25 Dec '24, counts as said0 times: Whitebridge, Q3’25 Mar '250 times: Whitebridge, Q4’25 Jun '251 time: Whitebridge, Q1’26 Sep '25, counts as said0 times: Whitebridge, Q2’26 Dec '250 times: Whitebridge, Q3’26 Mar '260 times: Whitebridge, Q4’26 Jul '261 time: Whitebridge, Q1’27 Sep '26, counts as saidfalling3/838%2/825%3/774%41%transcripts from the transcript model24¢ Kalshi
Brazil1 time: Brazil, Q2’25 Dec '24, counts as said0 times: Brazil, Q3’25 Mar '250 times: Brazil, Q4’25 Jun '250 times: Brazil, Q1’26 Sep '250 times: Brazil, Q2’26 Dec '253 times: Brazil, Q3’26 Mar '26, counts as said1 time: Brazil, Q4’26 Jul '26, counts as said0 times: Brazil, Q1’27 Sep '26rising3/838%2/825%50/7765%38%n=1+tx from settlement history blended with transcripts40¢ Kalshi
GLP-1 / Ozempic0 times: GLP-1 / Ozempic, Q2’25 Dec '243 times: GLP-1 / Ozempic, Q3’25 Mar '25, counts as said0 times: GLP-1 / Ozempic, Q4’25 Jun '256 times: GLP-1 / Ozempic, Q1’26 Sep '25, counts as said0 times: GLP-1 / Ozempic, Q2’26 Dec '252 times: GLP-1 / Ozempic, Q3’26 Mar '26, counts as said0 times: GLP-1 / Ozempic, Q4’26 Jul '260 times: GLP-1 / Ozempic, Q1’27 Sep '26falling3/838%0/80%3/774%31%n=3+tx from settlement history blended with transcripts22¢ Kalshi
Progresso0 times: Progresso, Q2’25 Dec '241 time: Progresso, Q3’25 Mar '25, counts as said0 times: Progresso, Q4’25 Jun '251 time: Progresso, Q1’26 Sep '25, counts as said0 times: Progresso, Q2’26 Dec '250 times: Progresso, Q3’26 Mar '260 times: Progresso, Q4’26 Jul '260 times: Progresso, Q1’27 Sep '26falling2/825%0/80%37/7748%18%n=1+tx from settlement history blended with transcripts27¢ Kalshi
Certified Color0 times: Certified Color, Q2’25 Dec '240 times: Certified Color, Q3’25 Mar '250 times: Certified Color, Q4’25 Jun '252 times: Certified Color, Q1’26 Sep '25, counts as said0 times: Certified Color, Q2’26 Dec '250 times: Certified Color, Q3’26 Mar '260 times: Certified Color, Q4’26 Jul '260 times: Certified Color, Q1’27 Sep '26steady1/812%0/80%1/771%16%n=1+tx from settlement history blended with transcripts26¢ 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

1–26 of 26, most settled first
General Mills: every word with settled markets, most settled first
WordQ2’25Dec '24Q3’25Mar '25Q4’25Jun '25Q1’26Sep '25Q2’26Dec '25Q3’26Mar '26Q4’26Jul '26Q1’27last callTrendLast 8ScriptedAll-timeProbability
Iran / Middle East0 times: Iran / Middle East, Q2’25 Dec '240 times: Iran / Middle East, Q3’25 Mar '250 times: Iran / Middle East, Q4’25 Jun '250 times: Iran / Middle East, Q1’26 Sep '250 times: Iran / Middle East, Q2’26 Dec '250 times: Iran / Middle East, Q3’26 Mar '260 times: Iran / Middle East, Q4’26 Jul '260 times: Iran / Middle East, Q1’27 Sep '26steady0/80%0/80%24/7731%11%n=2+tx from settlement history blended with transcripts
Ozempicnever said0 times: Ozempic, Q2’25 Dec '240 times: Ozempic, Q3’25 Mar '250 times: Ozempic, Q4’25 Jun '250 times: Ozempic, Q1’26 Sep '250 times: Ozempic, Q2’26 Dec '250 times: Ozempic, Q3’26 Mar '260 times: Ozempic, Q4’26 Jul '260 times: Ozempic, Q1’27 Sep '26steady0/80%0/80%0/770%11%n=2+tx from settlement history blended with transcripts
Accelerate4 times: Accelerate, Q2’25 Dec '24, counts as said0 times: Accelerate, Q3’25 Mar '250 times: Accelerate, Q4’25 Jun '250 times: Accelerate, Q1’26 Sep '251 time: Accelerate, Q2’26 Dec '25, counts as said1 time: Accelerate, Q3’26 Mar '26, counts as said1 time: Accelerate, Q4’26 Jul '26, counts as said4 times: Accelerate, Q1’27 Sep '26, counts as saidrising5/862%3/838%54/7770%74%n=1+tx from settlement history blended with transcripts
Confidence0 times: Confidence, Q2’25 Dec '247 times: Confidence, Q3’25 Mar '25, counts as said4 times: Confidence, Q4’25 Jun '25, counts as said5 times: Confidence, Q1’26 Sep '25, counts as said1 time: Confidence, Q2’26 Dec '25, counts as said2 times: Confidence, Q3’26 Mar '26, counts as said3 times: Confidence, Q4’26 Jul '26, counts as said1 time: Confidence, Q1’27 Sep '26, counts as saidfalling7/888%3/838%61/7779%78%n=1+tx from settlement history blended with transcripts
Fiscalevery call21 times: Fiscal, Q2’25 Dec '24, counts as said10 times: Fiscal, Q3’25 Mar '25, counts as said7 times: Fiscal, Q4’25 Jun '25, counts as said9 times: Fiscal, Q1’26 Sep '25, counts as said12 times: Fiscal, Q2’26 Dec '25, counts as said22 times: Fiscal, Q3’26 Mar '26, counts as said26 times: Fiscal, Q4’26 Jul '26, counts as said11 times: Fiscal, Q1’27 Sep '26, counts as saidsteady8/8100%8/8100%77/77100%97%n=1+tx from settlement history blended with transcripts
Inflation / Inflationaryevery call6 times: Inflation / Inflationary, Q2’25 Dec '24, counts as said2 times: Inflation / Inflationary, Q3’25 Mar '25, counts as said5 times: Inflation / Inflationary, Q4’25 Jun '25, counts as said8 times: Inflation / Inflationary, Q1’26 Sep '25, counts as said4 times: Inflation / Inflationary, Q2’26 Dec '25, counts as said7 times: Inflation / Inflationary, Q3’26 Mar '26, counts as said10 times: Inflation / Inflationary, Q4’26 Jul '26, counts as said19 times: Inflation / Inflationary, Q1’27 Sep '26, counts as saidrising8/8100%2/825%77/77100%95%n=1+tx from settlement history blended with transcripts
Inventory6 times: Inventory, Q2’25 Dec '24, counts as said10 times: Inventory, Q3’25 Mar '25, counts as said8 times: Inventory, Q4’25 Jun '25, counts as said1 time: Inventory, Q1’26 Sep '25, counts as said2 times: Inventory, Q2’26 Dec '25, counts as said7 times: Inventory, Q3’26 Mar '26, counts as said6 times: Inventory, Q4’26 Jul '26, counts as said4 times: Inventory, Q1’27 Sep '26, counts as saidfalling8/8100%2/825%69/7790%91%n=1+tx from settlement history blended with transcripts
Management1 time: Management, Q2’25 Dec '24, counts as said1 time: Management, Q3’25 Mar '25, counts as said3 times: Management, Q4’25 Jun '25, counts as said1 time: Management, Q1’26 Sep '25, counts as said3 times: Management, Q2’26 Dec '25, counts as said1 time: Management, Q3’26 Mar '26, counts as said2 times: Management, Q4’26 Jul '26, counts as said4 times: Management, Q1’27 Sep '26, counts as saidrising8/8100%8/8100%75/7797%86%n=1+tx from settlement history blended with transcripts
Marketing1 time: Marketing, Q2’25 Dec '24, counts as said26 times: Marketing, Q3’25 Mar '25, counts as said16 times: Marketing, Q4’25 Jun '25, counts as said4 times: Marketing, Q1’26 Sep '25, counts as said4 times: Marketing, Q2’26 Dec '25, counts as said10 times: Marketing, Q3’26 Mar '26, counts as said2 times: Marketing, Q4’26 Jul '26, counts as said8 times: Marketing, Q1’27 Sep '26, counts as saidfalling8/8100%1/812%76/7799%92%n=1+tx from settlement history blended with transcripts
Nielsen2 times: Nielsen, Q2’25 Dec '24, counts as said0 times: Nielsen, Q3’25 Mar '251 time: Nielsen, Q4’25 Jun '25, counts as said1 time: Nielsen, Q1’26 Sep '25, counts as said1 time: Nielsen, Q2’26 Dec '25, counts as said0 times: Nielsen, Q3’26 Mar '260 times: Nielsen, Q4’26 Jul '261 time: Nielsen, Q1’27 Sep '26, counts as saidfalling5/862%1/812%47/7761%59%n=1+tx from settlement history blended with transcripts
Price13 times: Price, Q2’25 Dec '24, counts as said17 times: Price, Q3’25 Mar '25, counts as said19 times: Price, Q4’25 Jun '25, counts as said21 times: Price, Q1’26 Sep '25, counts as said27 times: Price, Q2’26 Dec '25, counts as said23 times: Price, Q3’26 Mar '26, counts as said26 times: Price, Q4’26 Jul '26, counts as said25 times: Price, Q1’27 Sep '26, counts as saidrising8/8100%5/862%76/7799%97%n=1+tx from settlement history blended with transcripts
Quarter15+ times26 times: Quarter 15+ times, Q2’25 Dec '24, counts as said35 times: Quarter 15+ times, Q3’25 Mar '25, counts as said25 times: Quarter 15+ times, Q4’25 Jun '25, counts as said24 times: Quarter 15+ times, Q1’26 Sep '25, counts as said26 times: Quarter 15+ times, Q2’26 Dec '25, counts as said21 times: Quarter 15+ times, Q3’26 Mar '26, counts as said5 times: Quarter 15+ times, Q4’26 Jul '26, below the threshold16 times: Quarter 15+ times, Q1’27 Sep '26, counts as saidfalling7/888%1/812%74/7796%68%n=1+tx from settlement history blended with transcripts
Sales5+ times35 times: Sales 5+ times, Q2’25 Dec '24, counts as said4 times: Sales 5+ times, Q3’25 Mar '25, below the threshold7 times: Sales 5+ times, Q4’25 Jun '25, counts as said5 times: Sales 5+ times, Q1’26 Sep '25, counts as said6 times: Sales 5+ times, Q2’26 Dec '25, counts as said13 times: Sales 5+ times, Q3’26 Mar '26, counts as said19 times: Sales 5+ times, Q4’26 Jul '26, counts as said6 times: Sales 5+ times, Q1’27 Sep '26, counts as saidfalling7/888%1/812%75/7797%79%n=1+tx from settlement history blended with transcripts
Snack3 times: Snack, Q2’25 Dec '24, counts as said23 times: Snack, Q3’25 Mar '25, counts as said7 times: Snack, Q4’25 Jun '25, counts as said9 times: Snack, Q1’26 Sep '25, counts as said5 times: Snack, Q2’26 Dec '25, counts as said20 times: Snack, Q3’26 Mar '26, counts as said5 times: Snack, Q4’26 Jul '26, counts as said6 times: Snack, Q1’27 Sep '26, counts as saidsteady8/8100%4/850%71/7792%94%n=1+tx from settlement history blended with transcripts
2500 times: 250, Q2’25 Dec '240 times: 250, Q3’25 Mar '250 times: 250, Q4’25 Jun '250 times: 250, Q1’26 Sep '250 times: 250, Q2’26 Dec '250 times: 250, Q3’26 Mar '260 times: 250, Q4’26 Jul '260 times: 250, Q1’27 Sep '26steady0/80%0/80%11/7714%13%n=1+tx from settlement history blended with transcripts
Appetite0 times: Appetite, Q2’25 Dec '240 times: Appetite, Q3’25 Mar '250 times: Appetite, Q4’25 Jun '250 times: Appetite, Q1’26 Sep '250 times: Appetite, Q2’26 Dec '250 times: Appetite, Q3’26 Mar '260 times: Appetite, Q4’26 Jul '260 times: Appetite, Q1’27 Sep '26steady0/80%0/80%4/775%12%n=1+tx from settlement history blended with transcripts
Grands / Croissants0 times: Grands / Croissants, Q2’25 Dec '240 times: Grands / Croissants, Q3’25 Mar '250 times: Grands / Croissants, Q4’25 Jun '250 times: Grands / Croissants, Q1’26 Sep '250 times: Grands / Croissants, Q2’26 Dec '250 times: Grands / Croissants, Q3’26 Mar '260 times: Grands / Croissants, Q4’26 Jul '260 times: Grands / Croissants, Q1’27 Sep '26steady0/80%0/80%4/775%12%n=1+tx from settlement history blended with transcripts
Customer10+ times1 time: Customer 10+ times, Q2’25 Dec '24, below the threshold0 times: Customer 10+ times, Q3’25 Mar '250 times: Customer 10+ times, Q4’25 Jun '251 time: Customer 10+ times, Q1’26 Sep '25, below the threshold3 times: Customer 10+ times, Q2’26 Dec '25, below the threshold0 times: Customer 10+ times, Q3’26 Mar '264 times: Customer 10+ times, Q4’26 Jul '26, below the threshold2 times: Customer 10+ times, Q1’27 Sep '26, below the thresholdrising0/80%0/80%12/7716%8%n=1+tx from settlement history blended with transcripts
Distributor3 times: Distributor, Q2’25 Dec '24, counts as said0 times: Distributor, Q3’25 Mar '250 times: Distributor, Q4’25 Jun '250 times: Distributor, Q1’26 Sep '250 times: Distributor, Q2’26 Dec '250 times: Distributor, Q3’26 Mar '260 times: Distributor, Q4’26 Jul '260 times: Distributor, Q1’27 Sep '26falling1/812%1/812%20/7726%16%n=1+tx from settlement history blended with transcripts
Fiber0 times: Fiber, Q2’25 Dec '241 time: Fiber, Q3’25 Mar '25, counts as said0 times: Fiber, Q4’25 Jun '253 times: Fiber, Q1’26 Sep '25, counts as said0 times: Fiber, Q2’26 Dec '258 times: Fiber, Q3’26 Mar '26, counts as said0 times: Fiber, Q4’26 Jul '261 time: Fiber, Q1’27 Sep '26, counts as saidrising4/850%0/80%54/7770%62%n=1+tx from settlement history blended with transcripts
GLP-10 times: GLP-1, Q2’25 Dec '244 times: GLP-1, Q3’25 Mar '25, counts as said0 times: GLP-1, Q4’25 Jun '257 times: GLP-1, Q1’26 Sep '25, counts as said0 times: GLP-1, Q2’26 Dec '252 times: GLP-1, Q3’26 Mar '26, counts as said0 times: GLP-1, Q4’26 Jul '260 times: GLP-1, Q1’27 Sep '26falling3/838%0/80%3/774%31%n=1+tx from settlement history blended with transcripts
GLP-1 / GLP10 times: GLP-1 / GLP1, Q2’25 Dec '244 times: GLP-1 / GLP1, Q3’25 Mar '25, counts as said0 times: GLP-1 / GLP1, Q4’25 Jun '257 times: GLP-1 / GLP1, Q1’26 Sep '25, counts as said0 times: GLP-1 / GLP1, Q2’26 Dec '252 times: GLP-1 / GLP1, Q3’26 Mar '26, counts as said0 times: GLP-1 / GLP1, Q4’26 Jul '260 times: GLP-1 / GLP1, Q1’27 Sep '26falling3/838%0/80%3/774%30%n=1+tx from settlement history blended with transcripts
Irannever said0 times: Iran, Q2’25 Dec '240 times: Iran, Q3’25 Mar '250 times: Iran, Q4’25 Jun '250 times: Iran, Q1’26 Sep '250 times: Iran, Q2’26 Dec '250 times: Iran, Q3’26 Mar '260 times: Iran, Q4’26 Jul '260 times: Iran, Q1’27 Sep '26steady0/80%0/80%0/770%12%n=1+tx from settlement history blended with transcripts
Peptidenever said0 times: Peptide, Q2’25 Dec '240 times: Peptide, Q3’25 Mar '250 times: Peptide, Q4’25 Jun '250 times: Peptide, Q1’26 Sep '250 times: Peptide, Q2’26 Dec '250 times: Peptide, Q3’26 Mar '260 times: Peptide, Q4’26 Jul '260 times: Peptide, Q1’27 Sep '26steady0/80%0/80%0/770%12%n=1+tx from settlement history blended with transcripts
Surge0 times: Surge, Q2’25 Dec '240 times: Surge, Q3’25 Mar '250 times: Surge, Q4’25 Jun '250 times: Surge, Q1’26 Sep '250 times: Surge, Q2’26 Dec '250 times: Surge, Q3’26 Mar '260 times: Surge, Q4’26 Jul '260 times: Surge, Q1’27 Sep '26steady0/80%0/80%2/773%12%n=1+tx from settlement history blended with transcripts
World Cup0 times: World Cup, Q2’25 Dec '240 times: World Cup, Q3’25 Mar '250 times: World Cup, Q4’25 Jun '250 times: World Cup, Q1’26 Sep '250 times: World Cup, Q2’26 Dec '250 times: World Cup, Q3’26 Mar '260 times: World Cup, Q4’26 Jul '260 times: World Cup, Q1’27 Sep '26steady0/80%0/80%4/775%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 71 of 71 settled words resolved (100.0%). How we check.

Recent appearances and how their listed words settled
DateAppearanceTextWordsSettledOur count agreed
Sep 23, 2026Earnings call FY27 Q1Speaker-labelled transcript3219 yes · 13 no32/32 (100%)
Jul 1, 2026Earnings call FY26 Q4Speaker-labelled transcript3019 yes · 11 no30/30 (100%)
Mar 18, 2026Earnings call FY26 Q3Speaker-labelled transcript96 yes · 3 no9/9 (100%)
Dec 17, 2025Earnings call FY26 Q2Speaker-labelled transcript0––
Sep 17, 2025Earnings call FY26 Q1Speaker-labelled transcript0––
Jun 26, 2025Earnings call FY25 Q4Speaker-labelled transcript0––
Mar 19, 2025Earnings call FY25 Q3Speaker-labelled transcript0––
Dec 18, 2024Earnings call FY25 Q2Speaker-labelled transcript0––
Sep 18, 2024Earnings call FY25 Q1Speaker-labelled transcript0––
Jun 26, 2024Earnings call FY24 Q4Speaker-labelled transcript0––
Mar 20, 2024Earnings call FY24 Q3Speaker-labelled transcript0––
Dec 20, 2023Earnings call FY24 Q2Speaker-labelled transcript0––

Citeparrot.markets, “General Mills (GIS): earnings call word history”, as of Oct 24, 2026, https://parrot.markets/earnings/GIS (CC BY 4.0)

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