Aritzia (ATZAF)

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As of Oct 23, 2026, Kalshi has settled 14 word markets on Aritzia’s earnings calls since 2026, on 14 different words. Next call: Jan 14, 2027 (13 words listed).

Next: Earnings call ·

13 words listed · Occasion page

Who counts: Kalshi: company speakers + operator

Kalshi

Aritzia: the words listed for Thu, Jan 14, how often each was said on past occasions, and the probability for this one
WordQ1’27Jul '26Q2’27last callTrendLast 2ScriptedAll-timeProbabilityMarket
Tariff13 times: Tariff, Q1’27 Jul '26, counts as said9 times: Tariff, Q2’27 Oct '26, counts as saidnot enough history2/2100%2/2100%2/2100%94%n=1+tx from settlement history blended with transcripts94¢ Kalshi
Conversion3 times: Conversion, Q1’27 Jul '26, counts as said3 times: Conversion, Q2’27 Oct '26, counts as saidnot enough history2/2100%2/2100%2/2100%85%n=1+tx from settlement history blended with transcripts81¢ Kalshi
Runway3 times: Runway, Q1’27 Jul '26, counts as said2 times: Runway, Q2’27 Oct '26, counts as saidnot enough history2/2100%2/2100%2/2100%83%n=1+tx from settlement history blended with transcripts82¢ Kalshi
AI / Artificial Intelligence3 times: AI / Artificial Intelligence, Q1’27 Jul '26, counts as said2 times: AI / Artificial Intelligence, Q2’27 Oct '26, counts as saidnot enough history2/2100%2/2100%2/2100%78%transcripts from the transcript model70¢ Kalshi
Payback1 time: Payback, Q1’27 Jul '26, counts as said2 times: Payback, Q2’27 Oct '26, counts as saidnot enough history2/2100%2/2100%2/2100%77%n=1+tx from settlement history blended with transcripts65¢ Kalshi
Flagship1 time: Flagship, Q1’27 Jul '26, counts as said1 time: Flagship, Q2’27 Oct '26, counts as saidnot enough history2/2100%0/20%2/2100%73%n=1+tx from settlement history blended with transcripts92¢ Kalshi
New Orleans1 time: New Orleans, Q1’27 Jul '26, counts as said1 time: New Orleans, Q2’27 Oct '26, counts as saidnot enough history2/2100%2/2100%2/2100%73%n=1+tx from settlement history blended with transcripts42¢ Kalshi
Franchise / Franchisee2 times: Franchise / Franchisee, Q1’27 Jul '26, counts as said1 time: Franchise / Franchisee, Q2’27 Oct '26, counts as saidnot enough history2/2100%2/2100%2/2100%71%transcripts from the transcript model81¢ Kalshi
Super Puff0 times: Super Puff, Q1’27 Jul '261 time: Super Puff, Q2’27 Oct '26, counts as saidnot enough history1/250%1/250%1/250%56%n=1+tx from settlement history blended with transcripts51¢ Kalshi
Sweatfleece0 times: Sweatfleece, Q1’27 Jul '261 time: Sweatfleece, Q2’27 Oct '26, counts as saidnot enough history1/250%1/250%1/250%49%transcripts from the transcript model34¢ Kalshi
Influencer1 time: Influencer, Q1’27 Jul '26, counts as said0 times: Influencer, Q2’27 Oct '26not enough history1/250%1/250%1/250%32%n=1+tx from settlement history blended with transcripts25¢ Kalshi
Personalization1 time: Personalization, Q1’27 Jul '26, counts as said0 times: Personalization, Q2’27 Oct '26not enough history1/250%0/20%1/250%32%n=1+tx from settlement history blended with transcripts22¢ Kalshi
Cashmere0 times: Cashmere, Q1’27 Jul '260 times: Cashmere, Q2’27 Oct '26not enough history0/20%0/20%0/20%15%n=1+tx from settlement history blended with transcripts14¢ 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
Aritzia: every word with settled markets, most settled first
WordQ1’27Jul '26Q2’27last callTrendLast 2ScriptedAll-timeProbability
AI3 times: AI, Q1’27 Jul '26, counts as said2 times: AI, Q2’27 Oct '26, counts as saidnot enough history2/2100%2/2100%2/2100%83%n=1+tx from settlement history blended with transcripts
Franchise2 times: Franchise, Q1’27 Jul '26, counts as said1 time: Franchise, Q2’27 Oct '26, counts as saidnot enough history2/2100%2/2100%2/2100%77%n=1+tx from settlement history blended with transcripts
China0 times: China, Q1’27 Jul '260 times: China, Q2’27 Oct '26not enough history0/20%0/20%0/20%15%n=1+tx from settlement history blended with transcripts
Top of Mind2 times: Top of Mind, Q1’27 Jul '26, counts as said0 times: Top of Mind, Q2’27 Oct '26not enough history1/250%0/20%1/250%40%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 2

Our transcript counts matched how 14 of 14 settled words resolved (100.0%). How we check.

Recent appearances and how their listed words settled
DateAppearanceTextWordsSettledOur count agreed
Oct 8, 2026Earnings call FY27 Q2Speaker-labelled transcript149 yes · 5 no14/14 (100%)
Jul 9, 2026Earnings call FY27 Q1Speaker-labelled transcript0––

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

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