Wingstop (WING)

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As of Oct 24, 2026, Kalshi has settled 33 word markets on Wingstop’s earnings calls since 2026, on 16 different words. Next call: Oct 28, 2026 (16 words listed).

Next: Earnings call ·

16 words listed · Occasion page

Who counts: Kalshi: company speakers + operator

Kalshi

Wingstop: the words listed for Wed, Oct 28, how often each was said on past occasions, and the probability for this one
WordQ3’24Oct '24Q4’24Feb '25Q1’25Apr '25Q2’25Jul '25Q3’25year agoQ4’25Feb '26Q1’26Apr '26Q2’26last callTrendLast 8ScriptedAll-timeProbabilityMarket
Delivery2 times: Delivery, Q3’24 Oct '24, counts as said1 time: Delivery, Q4’24 Feb '25, counts as said8 times: Delivery, Q1’25 Apr '25, counts as said10 times: Delivery, Q2’25 Jul '25, counts as said3 times: Delivery, Q3’25 Nov '25, counts as said12 times: Delivery, Q4’25 Feb '26, counts as said8 times: Delivery, Q1’26 Apr '26, counts as said1 time: Delivery, Q2’26 Jul '26, counts as saidrising8/8100%6/875%40/4491%93%n=3+tx from settlement history blended with transcripts90¢ Kalshi
Smart Kitchen3+ times0 times: Smart Kitchen (3+ times), Q3’24 Oct '240 times: Smart Kitchen (3+ times), Q4’24 Feb '2511 times: Smart Kitchen (3+ times), Q1’25 Apr '25, counts as said32 times: Smart Kitchen (3+ times), Q2’25 Jul '25, counts as said22 times: Smart Kitchen (3+ times), Q3’25 Nov '25, counts as said20 times: Smart Kitchen (3+ times), Q4’25 Feb '26, counts as said14 times: Smart Kitchen (3+ times), Q1’26 Apr '26, counts as said10 times: Smart Kitchen (3+ times), Q2’26 Jul '26, counts as saidrising6/875%6/875%6/4414%84%transcripts from the transcript model93¢ Kalshi
AI / Artificial Intelligence1 time: AI / Artificial Intelligence, Q3’24 Oct '24, counts as said2 times: AI / Artificial Intelligence, Q4’24 Feb '25, counts as said1 time: AI / Artificial Intelligence, Q1’25 Apr '25, counts as said0 times: AI / Artificial Intelligence, Q2’25 Jul '250 times: AI / Artificial Intelligence, Q3’25 Nov '251 time: AI / Artificial Intelligence, Q4’25 Feb '26, counts as said2 times: AI / Artificial Intelligence, Q1’26 Apr '26, counts as said1 time: AI / Artificial Intelligence, Q2’26 Jul '26, counts as saidsteady6/875%6/875%13/4430%69%n=1+tx from settlement history blended with transcripts68¢ Kalshi
World Cup0 times: World Cup, Q3’24 Oct '240 times: World Cup, Q4’24 Feb '250 times: World Cup, Q1’25 Apr '250 times: World Cup, Q2’25 Jul '250 times: World Cup, Q3’25 Nov '252 times: World Cup, Q4’25 Feb '26, counts as said0 times: World Cup, Q1’26 Apr '266 times: World Cup, Q2’26 Jul '26, counts as saidrising2/825%2/825%3/447%69%n=1+tx from settlement history blended with transcripts60¢ Kalshi
Club Wingstop3+ times0 times: Club Wingstop (3+ times), Q3’24 Oct '240 times: Club Wingstop (3+ times), Q4’24 Feb '250 times: Club Wingstop (3+ times), Q1’25 Apr '250 times: Club Wingstop (3+ times), Q2’25 Jul '253 times: Club Wingstop (3+ times), Q3’25 Nov '25, counts as said5 times: Club Wingstop (3+ times), Q4’25 Feb '26, counts as said7 times: Club Wingstop (3+ times), Q1’26 Apr '26, counts as said15 times: Club Wingstop (3+ times), Q2’26 Jul '26, counts as saidrising4/850%4/850%4/449%68%transcripts from the transcript model90¢ Kalshi
Tender0 times: Tender, Q3’24 Oct '240 times: Tender, Q4’24 Feb '2518 times: Tender, Q1’25 Apr '25, counts as said15 times: Tender, Q2’25 Jul '25, counts as said4 times: Tender, Q3’25 Nov '25, counts as said2 times: Tender, Q4’25 Feb '26, counts as said3 times: Tender, Q1’26 Apr '26, counts as said0 times: Tender, Q2’26 Jul '26falling5/862%2/825%15/4434%63%n=3+tx from settlement history blended with transcripts52¢ Kalshi
NFL / NBA14 times: NFL / NBA, Q3’24 Oct '24, counts as said3 times: NFL / NBA, Q4’24 Feb '25, counts as said4 times: NFL / NBA, Q1’25 Apr '25, counts as said5 times: NFL / NBA, Q2’25 Jul '25, counts as said0 times: NFL / NBA, Q3’25 Nov '250 times: NFL / NBA, Q4’25 Feb '260 times: NFL / NBA, Q1’26 Apr '264 times: NFL / NBA, Q2’26 Jul '26, counts as saidfalling5/862%5/862%17/4439%58%n=3+tx from settlement history blended with transcripts68¢ Kalshi
Chicken3 times: Chicken, Q3’24 Oct '24, counts as said6 times: Chicken, Q4’24 Feb '25, counts as said9 times: Chicken, Q1’25 Apr '25, counts as said4 times: Chicken, Q2’25 Jul '25, counts as said0 times: Chicken, Q3’25 Nov '252 times: Chicken, Q4’25 Feb '26, counts as said3 times: Chicken, Q1’26 Apr '26, counts as said0 times: Chicken, Q2’26 Jul '26falling6/875%4/850%41/4493%57%n=3+tx from settlement history blended with transcripts60¢ Kalshi
Iran / Middle East0 times: Iran / Middle East, Q3’24 Oct '240 times: Iran / Middle East, Q4’24 Feb '250 times: Iran / Middle East, Q1’25 Apr '250 times: Iran / Middle East, Q2’25 Jul '250 times: Iran / Middle East, Q3’25 Nov '250 times: Iran / Middle East, Q4’25 Feb '261 time: Iran / Middle East, Q1’26 Apr '26, counts as said1 time: Iran / Middle East, Q2’26 Jul '26, counts as saidrising2/825%1/812%4/449%50%n=1+tx from settlement history blended with transcripts47¢ Kalshi
Packaging0 times: Packaging, Q3’24 Oct '243 times: Packaging, Q4’24 Feb '25, counts as said0 times: Packaging, Q1’25 Apr '251 time: Packaging, Q2’25 Jul '25, counts as said1 time: Packaging, Q3’25 Nov '25, counts as said0 times: Packaging, Q4’25 Feb '261 time: Packaging, Q1’26 Apr '26, counts as said0 times: Packaging, Q2’26 Jul '26falling4/850%3/838%16/4436%35%n=3+tx from settlement history blended with transcripts40¢ Kalshi
India2+ times0 times: India (2+ times), Q3’24 Oct '240 times: India (2+ times), Q4’24 Feb '251 time: India (2+ times), Q1’25 Apr '25, below the threshold0 times: India (2+ times), Q2’25 Jul '254 times: India (2+ times), Q3’25 Nov '25, counts as said4 times: India (2+ times), Q4’25 Feb '26, counts as said1 time: India (2+ times), Q1’26 Apr '26, below the threshold1 time: India (2+ times), Q2’26 Jul '26, below the thresholdrising2/825%0/80%2/445%35%n=1+tx from settlement history blended with transcripts32¢ Kalshi
Lemon Pepper0 times: Lemon Pepper, Q3’24 Oct '240 times: Lemon Pepper, Q4’24 Feb '253 times: Lemon Pepper, Q1’25 Apr '25, counts as said0 times: Lemon Pepper, Q2’25 Jul '250 times: Lemon Pepper, Q3’25 Nov '250 times: Lemon Pepper, Q4’25 Feb '262 times: Lemon Pepper, Q1’26 Apr '26, counts as said0 times: Lemon Pepper, Q2’26 Jul '26steady2/825%2/825%2/445%31%n=3+tx from settlement history blended with transcripts58¢ Kalshi
Headwind0 times: Headwind, Q3’24 Oct '240 times: Headwind, Q4’24 Feb '251 time: Headwind, Q1’25 Apr '25, counts as said0 times: Headwind, Q2’25 Jul '250 times: Headwind, Q3’25 Nov '250 times: Headwind, Q4’25 Feb '261 time: Headwind, Q1’26 Apr '26, counts as said0 times: Headwind, Q2’26 Jul '26steady2/825%2/825%14/4432%27%n=2+tx from settlement history blended with transcripts33¢ Kalshi
Buyback / Buy Back0 times: Buyback / Buy Back, Q3’24 Oct '240 times: Buyback / Buy Back, Q4’24 Feb '250 times: Buyback / Buy Back, Q1’25 Apr '250 times: Buyback / Buy Back, Q2’25 Jul '250 times: Buyback / Buy Back, Q3’25 Nov '250 times: Buyback / Buy Back, Q4’25 Feb '261 time: Buyback / Buy Back, Q1’26 Apr '26, counts as said0 times: Buyback / Buy Back, Q2’26 Jul '26steady1/812%0/80%1/442%27%transcripts from the transcript model23¢ Kalshi
Wing Passnever said0 times: Wing Pass, Q3’24 Oct '240 times: Wing Pass, Q4’24 Feb '250 times: Wing Pass, Q1’25 Apr '250 times: Wing Pass, Q2’25 Jul '250 times: Wing Pass, Q3’25 Nov '250 times: Wing Pass, Q4’25 Feb '260 times: Wing Pass, Q1’26 Apr '260 times: Wing Pass, Q2’26 Jul '26steady0/80%0/80%0/440%16%transcripts from the transcript model38¢ Kalshi
Tajínnever said0 times: Tajín, Q3’24 Oct '240 times: Tajín, Q4’24 Feb '250 times: Tajín, Q1’25 Apr '250 times: Tajín, Q2’25 Jul '250 times: Tajín, Q3’25 Nov '250 times: Tajín, Q4’25 Feb '260 times: Tajín, Q1’26 Apr '260 times: Tajín, Q2’26 Jul '26steady0/80%0/80%0/440%12%n=1+tx from settlement history blended with transcripts12¢ 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
Wingstop: every word with settled markets, most settled first
WordQ3’24Oct '24Q4’24Feb '25Q1’25Apr '25Q2’25Jul '25Q3’25Nov '25Q4’25Feb '26Q1’26Apr '26Q2’26last callTrendLast 8ScriptedAll-timeProbability
Share Repurchase3 times: Share Repurchase, Q3’24 Oct '24, counts as said6 times: Share Repurchase, Q4’24 Feb '25, counts as said3 times: Share Repurchase, Q1’25 Apr '25, counts as said2 times: Share Repurchase, Q2’25 Jul '25, counts as said2 times: Share Repurchase, Q3’25 Nov '25, counts as said3 times: Share Repurchase, Q4’25 Feb '26, counts as said3 times: Share Repurchase, Q1’26 Apr '26, counts as said2 times: Share Repurchase, Q2’26 Jul '26, counts as saidfalling8/8100%8/8100%12/4427%88%n=3+tx from settlement history blended with transcripts
Citrus Mojo0 times: Citrus Mojo, Q3’24 Oct '240 times: Citrus Mojo, Q4’24 Feb '250 times: Citrus Mojo, Q1’25 Apr '250 times: Citrus Mojo, Q2’25 Jul '250 times: Citrus Mojo, Q3’25 Nov '250 times: Citrus Mojo, Q4’25 Feb '262 times: Citrus Mojo, Q1’26 Apr '26, counts as said1 time: Citrus Mojo, Q2’26 Jul '26, counts as saidrising2/825%1/812%2/445%57%n=2+tx from settlement history blended with transcripts
Habanero0 times: Habanero, Q3’24 Oct '240 times: Habanero, Q4’24 Feb '250 times: Habanero, Q1’25 Apr '250 times: Habanero, Q2’25 Jul '250 times: Habanero, Q3’25 Nov '250 times: Habanero, Q4’25 Feb '260 times: Habanero, Q1’26 Apr '260 times: Habanero, Q2’26 Jul '26steady0/80%0/80%1/442%11%n=2+tx from settlement history blended with transcripts
Hot Boxnever said0 times: Hot Box, Q3’24 Oct '240 times: Hot Box, Q4’24 Feb '250 times: Hot Box, Q1’25 Apr '250 times: Hot Box, Q2’25 Jul '250 times: Hot Box, Q3’25 Nov '250 times: Hot Box, Q4’25 Feb '260 times: Hot Box, Q1’26 Apr '260 times: Hot Box, Q2’26 Jul '26steady0/80%0/80%0/440%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 33 of 33 settled words resolved (100.0%). How we check.

Recent appearances and how their listed words settled
DateAppearanceTextWordsSettledOur count agreed
Jul 29, 2026Earnings call FY26 Q2Speaker-labelled transcript147 yes · 7 no14/14 (100%)
Apr 29, 2026Earnings call FY26 Q1Speaker-labelled transcript118 yes · 3 no11/11 (100%)
Feb 18, 2026Earnings call FY25 Q4Speaker-labelled transcript84 yes · 4 no8/8 (100%)
Nov 4, 2025Earnings call FY25 Q3Speaker-labelled transcript0––
Jul 30, 2025Earnings call FY25 Q2Speaker-labelled transcript0––
Apr 30, 2025Earnings call FY25 Q1Speaker-labelled transcript0––
Feb 19, 2025Earnings call FY24 Q4Speaker-labelled transcript0––
Oct 30, 2024Earnings call FY24 Q3Speaker-labelled transcript0––
Jul 31, 2024Earnings call FY24 Q2Speaker-labelled transcript0––
May 1, 2024Earnings call FY24 Q1Speaker-labelled transcript0––
Feb 21, 2024Earnings call FY23 Q4Speaker-labelled transcript0––
Nov 1, 2023Earnings call FY23 Q3Speaker-labelled transcript0––

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

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