Target (TGT)

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As of Oct 24, 2026, Kalshi and Polymarket have settled 64 word markets on Target’s earnings calls since 2025, on 29 different words. Next call: Nov 18, 2026 (15 words listed).

“Target Plus” on the Aug 19 call · 28:41 · said once. Play the clip

Next: Earnings call ·

15 words listed · Occasion page

Who counts: Kalshi: company speakers + operator

Kalshi

Target: the words listed for Wed, Nov 18, how often each was said on past occasions, and the probability for this one
WordQ3’24Nov '24Q4’24Mar '25Q1’25May '25Q2’25Aug '25Q3’25year agoQ4’25Mar '26Q1’27May '26Q2’27last callTrendLast 8ScriptedAll-timeProbabilityMarket
Target Plus3 times: Target Plus, Q3’24 Nov '24, counts as said33 times: Target Plus, Q4’24 Mar '25, counts as said5 times: Target Plus, Q1’25 May '25, counts as said2 times: Target Plus, Q2’25 Aug '25, counts as said1 time: Target Plus, Q3’25 Nov '25, counts as said11 times: Target Plus, Q4’25 Mar '26, counts as said2 times: Target Plus, Q1’27 May '26, counts as said1 time: Target Plus, Q2’27 Aug '26, counts as saidfalling8/8100%8/8100%17/7922%89%n=1+tx from settlement history blended with transcripts89¢ Kalshi
Tariff0 times: Tariff, Q3’24 Nov '2415 times: Tariff, Q4’24 Mar '25, counts as said24 times: Tariff, Q1’25 May '25, counts as said27 times: Tariff, Q2’25 Aug '25, counts as said2 times: Tariff, Q3’25 Nov '25, counts as said17 times: Tariff, Q4’25 Mar '26, counts as said0 times: Tariff, Q1’27 May '2615 times: Tariff, Q2’27 Aug '26, counts as saidsteady6/875%6/875%12/7915%88%n=2+tx from settlement history blended with transcripts76¢ Kalshi
Fun 1010 times: Fun 101, Q3’24 Nov '243 times: Fun 101, Q4’24 Mar '25, counts as said0 times: Fun 101, Q1’25 May '258 times: Fun 101, Q2’25 Aug '25, counts as said10 times: Fun 101, Q3’25 Nov '25, counts as said6 times: Fun 101, Q4’25 Mar '26, counts as said3 times: Fun 101, Q1’27 May '26, counts as said8 times: Fun 101, Q2’27 Aug '26, counts as saidrising6/875%6/875%6/798%85%transcripts from the transcript model83¢ Kalshi
Roundel6 times: Roundel, Q3’24 Nov '24, counts as said22 times: Roundel, Q4’24 Mar '25, counts as said2 times: Roundel, Q1’25 May '25, counts as said2 times: Roundel, Q2’25 Aug '25, counts as said1 time: Roundel, Q3’25 Nov '25, counts as said7 times: Roundel, Q4’25 Mar '26, counts as said1 time: Roundel, Q1’27 May '26, counts as said1 time: Roundel, Q2’27 Aug '26, counts as saidfalling8/8100%8/8100%17/7922%85%n=1+tx from settlement history blended with transcripts83¢ Kalshi
Back to School1 time: Back to School, Q3’24 Nov '24, counts as said0 times: Back to School, Q4’24 Mar '253 times: Back to School, Q1’25 May '25, counts as said4 times: Back to School, Q2’25 Aug '25, counts as said2 times: Back to School, Q3’25 Nov '25, counts as said0 times: Back to School, Q4’25 Mar '260 times: Back to School, Q1’27 May '2618 times: Back to School, Q2’27 Aug '26, counts as saidrising5/862%5/862%53/7967%85%n=1+tx from settlement history blended with transcripts88¢ Kalshi
Remodel3+ times3 times: Remodel (3+ times), Q3’24 Nov '24, counts as said4 times: Remodel (3+ times), Q4’24 Mar '25, counts as said5 times: Remodel (3+ times), Q1’25 May '25, counts as said5 times: Remodel (3+ times), Q2’25 Aug '25, counts as said10 times: Remodel (3+ times), Q3’25 Nov '25, counts as said20 times: Remodel (3+ times), Q4’25 Mar '26, counts as said4 times: Remodel (3+ times), Q1’27 May '26, counts as said8 times: Remodel (3+ times), Q2’27 Aug '26, counts as saidrising8/8100%4/850%52/7966%83%transcripts from the transcript model77¢ Kalshi
Circle 36010 times: Circle 360, Q3’24 Nov '24, counts as said21 times: Circle 360, Q4’24 Mar '25, counts as said10 times: Circle 360, Q1’25 May '25, counts as said1 time: Circle 360, Q2’25 Aug '25, counts as said5 times: Circle 360, Q3’25 Nov '25, counts as said7 times: Circle 360, Q4’25 Mar '26, counts as said0 times: Circle 360, Q1’27 May '261 time: Circle 360, Q2’27 Aug '26, counts as saidfalling7/888%7/888%10/7913%83%n=4+tx from settlement history blended with transcripts79¢ Kalshi
Beauty3+ times9 times: Beauty (3+ times), Q3’24 Nov '24, counts as said14 times: Beauty (3+ times), Q4’24 Mar '25, counts as said2 times: Beauty (3+ times), Q1’25 May '25, below the threshold10 times: Beauty (3+ times), Q2’25 Aug '25, counts as said2 times: Beauty (3+ times), Q3’25 Nov '25, below the threshold17 times: Beauty (3+ times), Q4’25 Mar '26, counts as said16 times: Beauty (3+ times), Q1’27 May '26, counts as said16 times: Beauty (3+ times), Q2’27 Aug '26, counts as saidrising6/875%6/875%50/7963%79%transcripts from the transcript model86¢ Kalshi
Revenue2 times: Revenue, Q3’24 Nov '24, counts as said3 times: Revenue, Q4’24 Mar '25, counts as said0 times: Revenue, Q1’25 May '250 times: Revenue, Q2’25 Aug '250 times: Revenue, Q3’25 Nov '252 times: Revenue, Q4’25 Mar '26, counts as said1 time: Revenue, Q1’27 May '26, counts as said2 times: Revenue, Q2’27 Aug '26, counts as saidsteady5/862%5/862%40/7951%69%n=4+tx from settlement history blended with transcripts78¢ Kalshi
Agentic0 times: Agentic, Q3’24 Nov '240 times: Agentic, Q4’24 Mar '250 times: Agentic, Q1’25 May '250 times: Agentic, Q2’25 Aug '250 times: Agentic, Q3’25 Nov '251 time: Agentic, Q4’25 Mar '26, counts as said0 times: Agentic, Q1’27 May '262 times: Agentic, Q2’27 Aug '26, counts as saidrising2/825%2/825%2/793%45%transcripts from the transcript model70¢ Kalshi
OpenAI / Open AI0 times: OpenAI / Open AI, Q3’24 Nov '240 times: OpenAI / Open AI, Q4’24 Mar '250 times: OpenAI / Open AI, Q1’25 May '250 times: OpenAI / Open AI, Q2’25 Aug '252 times: OpenAI / Open AI, Q3’25 Nov '25, counts as said0 times: OpenAI / Open AI, Q4’25 Mar '260 times: OpenAI / Open AI, Q1’27 May '261 time: OpenAI / Open AI, Q2’27 Aug '26, counts as saidrising2/825%2/825%2/793%45%transcripts from the transcript model34¢ Kalshi
Competition0 times: Competition, Q3’24 Nov '240 times: Competition, Q4’24 Mar '251 time: Competition, Q1’25 May '25, counts as said0 times: Competition, Q2’25 Aug '250 times: Competition, Q3’25 Nov '251 time: Competition, Q4’25 Mar '26, counts as said0 times: Competition, Q1’27 May '260 times: Competition, Q2’27 Aug '26steady2/825%1/812%17/7922%23%n=4+tx from settlement history blended with transcripts13¢ Kalshi
Inflation1 time: Inflation, Q3’24 Nov '24, counts as said2 times: Inflation, Q4’24 Mar '25, counts as said1 time: Inflation, Q1’25 May '25, counts as said1 time: Inflation, Q2’25 Aug '25, counts as said0 times: Inflation, Q3’25 Nov '250 times: Inflation, Q4’25 Mar '260 times: Inflation, Q1’27 May '260 times: Inflation, Q2’27 Aug '26falling4/850%3/838%35/7944%17%n=4+tx from settlement history blended with transcripts26¢ Kalshi
PetaJane / Peta Janenever said0 times: PetaJane / Peta Jane, Q3’24 Nov '240 times: PetaJane / Peta Jane, Q4’24 Mar '250 times: PetaJane / Peta Jane, Q1’25 May '250 times: PetaJane / Peta Jane, Q2’25 Aug '250 times: PetaJane / Peta Jane, Q3’25 Nov '250 times: PetaJane / Peta Jane, Q4’25 Mar '260 times: PetaJane / Peta Jane, Q1’27 May '260 times: PetaJane / Peta Jane, Q2’27 Aug '26steady0/80%0/80%0/790%15%transcripts from the transcript model34¢ Kalshi
SNAP / Food Stamp0 times: SNAP / Food Stamp, Q3’24 Nov '240 times: SNAP / Food Stamp, Q4’24 Mar '250 times: SNAP / Food Stamp, Q1’25 May '250 times: SNAP / Food Stamp, Q2’25 Aug '250 times: SNAP / Food Stamp, Q3’25 Nov '250 times: SNAP / Food Stamp, Q4’25 Mar '260 times: SNAP / Food Stamp, Q1’27 May '260 times: SNAP / Food Stamp, Q2’27 Aug '26steady0/80%0/80%4/795%10%n=4+tx from settlement history blended with transcripts4¢ 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

1–20 of 20, most settled first
Target: every word with settled markets, most settled first
WordQ3’24Nov '24Q4’24Mar '25Q1’25May '25Q2’25Aug '25Q3’25Nov '25Q4’25Mar '26Q1’27May '26Q2’27last callTrendLast 8ScriptedAll-timeProbability
Beauty9 times: Beauty, Q3’24 Nov '24, counts as said14 times: Beauty, Q4’24 Mar '25, counts as said2 times: Beauty, Q1’25 May '25, counts as said10 times: Beauty, Q2’25 Aug '25, counts as said2 times: Beauty, Q3’25 Nov '25, counts as said17 times: Beauty, Q4’25 Mar '26, counts as said18 times: Beauty, Q1’27 May '26, counts as said16 times: Beauty, Q2’27 Aug '26, counts as saidrising8/8100%8/8100%71/7990%96%n=4+tx from settlement history blended with transcripts
Labor0 times: Labor, Q3’24 Nov '240 times: Labor, Q4’24 Mar '251 time: Labor, Q1’25 May '25, counts as said0 times: Labor, Q2’25 Aug '251 time: Labor, Q3’25 Nov '25, counts as said4 times: Labor, Q4’25 Mar '26, counts as said1 time: Labor, Q1’27 May '26, counts as said0 times: Labor, Q2’27 Aug '26rising4/850%3/838%42/7953%64%n=3+tx from settlement history blended with transcripts
Synthetic Color0 times: Synthetic Color, Q3’24 Nov '240 times: Synthetic Color, Q4’24 Mar '250 times: Synthetic Color, Q1’25 May '250 times: Synthetic Color, Q2’25 Aug '250 times: Synthetic Color, Q3’25 Nov '251 time: Synthetic Color, Q4’25 Mar '26, counts as said1 time: Synthetic Color, Q1’27 May '26, counts as said0 times: Synthetic Color, Q2’27 Aug '26rising2/825%2/825%4/795%34%n=3+tx from settlement history blended with transcripts
Innovation2 times: Innovation, Q3’24 Nov '24, counts as said2 times: Innovation, Q4’24 Mar '25, counts as said1 time: Innovation, Q1’25 May '25, counts as said2 times: Innovation, Q2’25 Aug '25, counts as said0 times: Innovation, Q3’25 Nov '254 times: Innovation, Q4’25 Mar '26, counts as said0 times: Innovation, Q1’27 May '261 time: Innovation, Q2’27 Aug '26, counts as saidfalling6/875%6/875%57/7972%60%n=3+tx from settlement history blended with transcripts
Holiday30 times: Holiday, Q3’24 Nov '24, counts as said10 times: Holiday, Q4’24 Mar '25, counts as said2 times: Holiday, Q1’25 May '25, counts as said1 time: Holiday, Q2’25 Aug '25, counts as said16 times: Holiday, Q3’25 Nov '25, counts as said0 times: Holiday, Q4’25 Mar '260 times: Holiday, Q1’27 May '260 times: Holiday, Q2’27 Aug '26falling5/862%5/862%71/7990%70%n=2+tx from settlement history blended with transcripts
Autonomous / Automation0 times: Autonomous / Automation, Q3’24 Nov '240 times: Autonomous / Automation, Q4’24 Mar '250 times: Autonomous / Automation, Q1’25 May '250 times: Autonomous / Automation, Q2’25 Aug '251 time: Autonomous / Automation, Q3’25 Nov '25, counts as said0 times: Autonomous / Automation, Q4’25 Mar '260 times: Autonomous / Automation, Q1’27 May '260 times: Autonomous / Automation, Q2’27 Aug '26steady1/812%0/80%15/7919%18%n=2+tx from settlement history blended with transcripts
Black Friday5 times: Black Friday, Q3’24 Nov '24, counts as said3 times: Black Friday, Q4’24 Mar '25, counts as said0 times: Black Friday, Q1’25 May '250 times: Black Friday, Q2’25 Aug '250 times: Black Friday, Q3’25 Nov '250 times: Black Friday, Q4’25 Mar '260 times: Black Friday, Q1’27 May '260 times: Black Friday, Q2’27 Aug '26falling2/825%2/825%22/7928%16%n=2+tx from settlement history blended with transcripts
Netflixnever said0 times: Netflix, Q3’24 Nov '240 times: Netflix, Q4’24 Mar '250 times: Netflix, Q1’25 May '250 times: Netflix, Q2’25 Aug '250 times: Netflix, Q3’25 Nov '250 times: Netflix, Q4’25 Mar '260 times: Netflix, Q1’27 May '260 times: Netflix, Q2’27 Aug '26steady0/80%0/80%0/790%11%n=2+tx from settlement history blended with transcripts
Shutdown / Shut Down0 times: Shutdown / Shut Down, Q3’24 Nov '240 times: Shutdown / Shut Down, Q4’24 Mar '250 times: Shutdown / Shut Down, Q1’25 May '250 times: Shutdown / Shut Down, Q2’25 Aug '250 times: Shutdown / Shut Down, Q3’25 Nov '250 times: Shutdown / Shut Down, Q4’25 Mar '260 times: Shutdown / Shut Down, Q1’27 May '260 times: Shutdown / Shut Down, Q2’27 Aug '26steady0/80%0/80%3/794%11%n=2+tx from settlement history blended with transcripts
Grocery0 times: Grocery, Q3’24 Nov '243 times: Grocery, Q4’24 Mar '25, counts as said0 times: Grocery, Q1’25 May '250 times: Grocery, Q2’25 Aug '250 times: Grocery, Q3’25 Nov '253 times: Grocery, Q4’25 Mar '26, counts as said2 times: Grocery, Q1’27 May '26, counts as said4 times: Grocery, Q2’27 Aug '26, counts as saidrising4/850%4/850%48/7961%74%n=1+tx from settlement history blended with transcripts
Question20+ times22 times: Question 20+ times, Q3’24 Nov '24, counts as said23 times: Question 20+ times, Q4’24 Mar '25, counts as said23 times: Question 20+ times, Q1’25 May '25, counts as said21 times: Question 20+ times, Q2’25 Aug '25, counts as said28 times: Question 20+ times, Q3’25 Nov '25, counts as said23 times: Question 20+ times, Q4’25 Mar '26, counts as said32 times: Question 20+ times, Q1’27 May '26, counts as said30 times: Question 20+ times, Q2’27 Aug '26, counts as saidsteady8/8100%1/812%65/7982%76%n=1+tx from settlement history blended with transcripts
Remodel3 times: Remodel, Q3’24 Nov '24, counts as said4 times: Remodel, Q4’24 Mar '25, counts as said5 times: Remodel, Q1’25 May '25, counts as said5 times: Remodel, Q2’25 Aug '25, counts as said10 times: Remodel, Q3’25 Nov '25, counts as said20 times: Remodel, Q4’25 Mar '26, counts as said4 times: Remodel, Q1’27 May '26, counts as said9 times: Remodel, Q2’27 Aug '26, counts as saidrising8/8100%8/8100%67/7985%95%n=1+tx from settlement history blended with transcripts
Tailwind0 times: Tailwind, Q3’24 Nov '247 times: Tailwind, Q4’24 Mar '25, counts as said1 time: Tailwind, Q1’25 May '25, counts as said0 times: Tailwind, Q2’25 Aug '250 times: Tailwind, Q3’25 Nov '253 times: Tailwind, Q4’25 Mar '26, counts as said2 times: Tailwind, Q1’27 May '26, counts as said0 times: Tailwind, Q2’27 Aug '26falling4/850%3/838%24/7930%57%n=1+tx from settlement history blended with transcripts
Million / Billion15+ times22 times: Million / Billion 15+ times, Q3’24 Nov '24, counts as said63 times: Million / Billion 15+ times, Q4’24 Mar '25, counts as said13 times: Million / Billion 15+ times, Q1’25 May '25, below the threshold12 times: Million / Billion 15+ times, Q2’25 Aug '25, below the threshold14 times: Million / Billion 15+ times, Q3’25 Nov '25, below the threshold37 times: Million / Billion 15+ times, Q4’25 Mar '26, counts as said10 times: Million / Billion 15+ times, Q1’27 May '26, below the threshold9 times: Million / Billion 15+ times, Q2’27 Aug '26, below the thresholdfalling3/838%3/838%49/7962%32%n=1+tx from settlement history blended with transcripts
Fiscalnever said 10+ times2 times: Fiscal 10+ times, Q3’24 Nov '24, below the threshold0 times: Fiscal 10+ times, Q4’24 Mar '250 times: Fiscal 10+ times, Q1’25 May '251 time: Fiscal 10+ times, Q2’25 Aug '25, below the threshold2 times: Fiscal 10+ times, Q3’25 Nov '25, below the threshold1 time: Fiscal 10+ times, Q4’25 Mar '26, below the threshold0 times: Fiscal 10+ times, Q1’27 May '260 times: Fiscal 10+ times, Q2’27 Aug '26falling0/80%0/80%0/790%4%n=1+tx from settlement history blended with transcripts
Grand Theft Auto / GTAnever said0 times: Grand Theft Auto / GTA, Q3’24 Nov '240 times: Grand Theft Auto / GTA, Q4’24 Mar '250 times: Grand Theft Auto / GTA, Q1’25 May '250 times: Grand Theft Auto / GTA, Q2’25 Aug '250 times: Grand Theft Auto / GTA, Q3’25 Nov '250 times: Grand Theft Auto / GTA, Q4’25 Mar '260 times: Grand Theft Auto / GTA, Q1’27 May '260 times: Grand Theft Auto / GTA, Q2’27 Aug '26steady0/80%0/80%0/790%12%n=1+tx from settlement history blended with transcripts
Nintendo Switch0 times: Nintendo Switch, Q3’24 Nov '240 times: Nintendo Switch, Q4’24 Mar '253 times: Nintendo Switch, Q1’25 May '25, counts as said2 times: Nintendo Switch, Q2’25 Aug '25, counts as said2 times: Nintendo Switch, Q3’25 Nov '25, counts as said0 times: Nintendo Switch, Q4’25 Mar '262 times: Nintendo Switch, Q1’27 May '26, counts as said0 times: Nintendo Switch, Q2’27 Aug '26steady4/850%4/850%8/7910%39%n=1+tx from settlement history blended with transcripts
Retail5+ times7 times: Retail 5+ times, Q3’24 Nov '24, counts as said29 times: Retail 5+ times, Q4’24 Mar '25, counts as said13 times: Retail 5+ times, Q1’25 May '25, counts as said11 times: Retail 5+ times, Q2’25 Aug '25, counts as said4 times: Retail 5+ times, Q3’25 Nov '25, below the threshold14 times: Retail 5+ times, Q4’25 Mar '26, counts as said8 times: Retail 5+ times, Q1’27 May '26, counts as said4 times: Retail 5+ times, Q2’27 Aug '26, below the thresholdfalling6/875%6/875%58/7973%46%n=1+tx from settlement history blended with transcripts
Sale25+ times40 times: Sale 25+ times, Q3’24 Nov '24, counts as said47 times: Sale 25+ times, Q4’24 Mar '25, counts as said25 times: Sale 25+ times, Q1’25 May '25, counts as said20 times: Sale 25+ times, Q2’25 Aug '25, below the threshold26 times: Sale 25+ times, Q3’25 Nov '25, counts as said40 times: Sale 25+ times, Q4’25 Mar '26, counts as said22 times: Sale 25+ times, Q1’27 May '26, below the threshold15 times: Sale 25+ times, Q2’27 Aug '26, below the thresholdfalling5/862%3/838%72/7991%34%n=1+tx from settlement history blended with transcripts
Taylor Swift4 times: Taylor Swift, Q3’24 Nov '24, counts as said2 times: Taylor Swift, Q4’24 Mar '25, counts as said0 times: Taylor Swift, Q1’25 May '250 times: Taylor Swift, Q2’25 Aug '250 times: Taylor Swift, Q3’25 Nov '250 times: Taylor Swift, Q4’25 Mar '260 times: Taylor Swift, Q1’27 May '260 times: Taylor Swift, Q2’27 Aug '26falling2/825%2/825%8/7910%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 64 of 64 settled words resolved (100.0%). How we check.

Recent appearances and how their listed words settled
DateAppearanceTextWordsSettledOur count agreed
Aug 19, 2026Earnings call FY27 Q2Speaker-labelled transcript2714 yes · 13 no27/27 (100%)
May 20, 2026Earnings call FY27 Q1Speaker-labelled transcript135 yes · 8 no13/13 (100%)
Mar 3, 2026Earnings call FY25 Q4Speaker-labelled transcript127 yes · 5 no12/12 (100%)
Nov 19, 2025Earnings call FY25 Q3Speaker-labelled transcript124 yes · 8 no12/12 (100%)
Aug 20, 2025Earnings call FY25 Q2Speaker-labelled transcript0––
May 21, 2025Earnings call FY25 Q1Speaker-labelled transcript0––
Mar 4, 2025Earnings call FY24 Q4Speaker-labelled transcript0––
Nov 20, 2024Earnings call FY24 Q3Speaker-labelled transcript0––
Aug 21, 2024Earnings call FY24 Q2Speaker-labelled transcript0––
May 22, 2024Earnings call FY24 Q1Speaker-labelled transcript0––
Mar 5, 2024Earnings call FY23 Q4Speaker-labelled transcript0––
Nov 15, 2023Earnings call FY23 Q3Speaker-labelled transcript0––

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

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