GameStop (GME)

EarningsTranscriptsUpdated

As of Oct 23, 2026, Kalshi has settled 15 word markets on GameStop’s earnings calls since 2025, on 15 different words.

History Wall

1–15 of 15, most settled first
GameStop: every word with settled markets, most settled first
WordQ1’21Jun '21Q2’21Sep '21Q3’21Dec '21Q4’21Mar '22Q1’22Jun '22Q2’22Sep '22Q3’22Dec '22Q4’22last callTrendLast 8ScriptedAll-timeProbability
Close / Closure1 time: Close / Closure, Q1’21 Jun '21, counts as said1 time: Close / Closure, Q2’21 Sep '21, counts as said2 times: Close / Closure, Q3’21 Dec '21, counts as said2 times: Close / Closure, Q4’21 Mar '22, counts as said2 times: Close / Closure, Q1’22 Jun '22, counts as said3 times: Close / Closure, Q2’22 Sep '22, counts as said3 times: Close / Closure, Q3’22 Dec '22, counts as said1 time: Close / Closure, Q4’22 Mar '23, counts as saidrising8/8100%8/8100%50/7071%75%n=1+tx from settlement history blended with transcripts
Ryan / Cohen0 times: Ryan / Cohen, Q1’21 Jun '210 times: Ryan / Cohen, Q2’21 Sep '210 times: Ryan / Cohen, Q3’21 Dec '210 times: Ryan / Cohen, Q4’21 Mar '220 times: Ryan / Cohen, Q1’22 Jun '220 times: Ryan / Cohen, Q2’22 Sep '220 times: Ryan / Cohen, Q3’22 Dec '220 times: Ryan / Cohen, Q4’22 Mar '23steady0/80%0/80%1/701%12%n=1+tx from settlement history blended with transcripts
Collectibles0 times: Collectibles, Q1’21 Jun '211 time: Collectibles, Q2’21 Sep '21, counts as said0 times: Collectibles, Q3’21 Dec '210 times: Collectibles, Q4’21 Mar '220 times: Collectibles, Q1’22 Jun '221 time: Collectibles, Q2’22 Sep '22, counts as said2 times: Collectibles, Q3’22 Dec '22, counts as said1 time: Collectibles, Q4’22 Mar '23, counts as saidrising4/850%4/850%27/7039%48%n=1+tx from settlement history blended with transcripts
Console cycle2 times: Console cycle, Q1’21 Jun '21, counts as said0 times: Console cycle, Q2’21 Sep '210 times: Console cycle, Q3’21 Dec '210 times: Console cycle, Q4’21 Mar '220 times: Console cycle, Q1’22 Jun '220 times: Console cycle, Q2’22 Sep '220 times: Console cycle, Q3’22 Dec '220 times: Console cycle, Q4’22 Mar '23falling1/812%1/812%26/7037%15%n=1+tx from settlement history blended with transcripts
Cost cutting / Cost-cutting0 times: Cost cutting / Cost-cutting, Q1’21 Jun '210 times: Cost cutting / Cost-cutting, Q2’21 Sep '210 times: Cost cutting / Cost-cutting, Q3’21 Dec '210 times: Cost cutting / Cost-cutting, Q4’21 Mar '220 times: Cost cutting / Cost-cutting, Q1’22 Jun '220 times: Cost cutting / Cost-cutting, Q2’22 Sep '220 times: Cost cutting / Cost-cutting, Q3’22 Dec '220 times: Cost cutting / Cost-cutting, Q4’22 Mar '23steady0/80%0/80%2/703%12%n=1+tx from settlement history blended with transcripts
Crypto / Cryptocurrency0 times: Crypto / Cryptocurrency, Q1’21 Jun '210 times: Crypto / Cryptocurrency, Q2’21 Sep '210 times: Crypto / Cryptocurrency, Q3’21 Dec '211 time: Crypto / Cryptocurrency, Q4’21 Mar '22, counts as said2 times: Crypto / Cryptocurrency, Q1’22 Jun '22, counts as said1 time: Crypto / Cryptocurrency, Q2’22 Sep '22, counts as said1 time: Crypto / Cryptocurrency, Q3’22 Dec '22, counts as said0 times: Crypto / Cryptocurrency, Q4’22 Mar '23rising4/850%4/850%4/706%39%n=1+tx from settlement history blended with transcripts
Digital Sales0 times: Digital Sales, Q1’21 Jun '210 times: Digital Sales, Q2’21 Sep '210 times: Digital Sales, Q3’21 Dec '210 times: Digital Sales, Q4’21 Mar '220 times: Digital Sales, Q1’22 Jun '220 times: Digital Sales, Q2’22 Sep '220 times: Digital Sales, Q3’22 Dec '220 times: Digital Sales, Q4’22 Mar '23steady0/80%0/80%26/7037%12%n=1+tx from settlement history blended with transcripts
E-commerce2 times: E-commerce, Q1’21 Jun '21, counts as said1 time: E-commerce, Q2’21 Sep '21, counts as said3 times: E-commerce, Q3’21 Dec '21, counts as said2 times: E-commerce, Q4’21 Mar '22, counts as said1 time: E-commerce, Q1’22 Jun '22, counts as said4 times: E-commerce, Q2’22 Sep '22, counts as said2 times: E-commerce, Q3’22 Dec '22, counts as said0 times: E-commerce, Q4’22 Mar '23steady7/888%7/888%37/7053%57%n=1+tx from settlement history blended with transcripts
Headcount0 times: Headcount, Q1’21 Jun '210 times: Headcount, Q2’21 Sep '210 times: Headcount, Q3’21 Dec '210 times: Headcount, Q4’21 Mar '220 times: Headcount, Q1’22 Jun '221 time: Headcount, Q2’22 Sep '22, counts as said1 time: Headcount, Q3’22 Dec '22, counts as said1 time: Headcount, Q4’22 Mar '23, counts as saidrising3/838%3/838%5/707%41%n=1+tx from settlement history blended with transcripts
Inventory0 times: Inventory, Q1’21 Jun '211 time: Inventory, Q2’21 Sep '21, counts as said2 times: Inventory, Q3’21 Dec '21, counts as said4 times: Inventory, Q4’21 Mar '22, counts as said2 times: Inventory, Q1’22 Jun '22, counts as said2 times: Inventory, Q2’22 Sep '22, counts as said3 times: Inventory, Q3’22 Dec '22, counts as said4 times: Inventory, Q4’22 Mar '23, counts as saidrising7/888%7/888%68/7097%72%n=1+tx from settlement history blended with transcripts
NFT0 times: NFT, Q1’21 Jun '210 times: NFT, Q2’21 Sep '211 time: NFT, Q3’21 Dec '21, counts as said3 times: NFT, Q4’21 Mar '22, counts as said4 times: NFT, Q1’22 Jun '22, counts as said3 times: NFT, Q2’22 Sep '22, counts as said0 times: NFT, Q3’22 Dec '220 times: NFT, Q4’22 Mar '23rising4/850%4/850%4/706%48%n=1+tx from settlement history blended with transcripts
Omnichannel0 times: Omnichannel, Q1’21 Jun '210 times: Omnichannel, Q2’21 Sep '210 times: Omnichannel, Q3’21 Dec '210 times: Omnichannel, Q4’21 Mar '220 times: Omnichannel, Q1’22 Jun '220 times: Omnichannel, Q2’22 Sep '220 times: Omnichannel, Q3’22 Dec '220 times: Omnichannel, Q4’22 Mar '23steady0/80%0/80%19/7027%12%n=1+tx from settlement history blended with transcripts
Redditnever said0 times: Reddit, Q1’21 Jun '210 times: Reddit, Q2’21 Sep '210 times: Reddit, Q3’21 Dec '210 times: Reddit, Q4’21 Mar '220 times: Reddit, Q1’22 Jun '220 times: Reddit, Q2’22 Sep '220 times: Reddit, Q3’22 Dec '220 times: Reddit, Q4’22 Mar '23steady0/80%0/80%0/700%12%n=1+tx from settlement history blended with transcripts
Retail investornever said0 times: Retail investor, Q1’21 Jun '210 times: Retail investor, Q2’21 Sep '210 times: Retail investor, Q3’21 Dec '210 times: Retail investor, Q4’21 Mar '220 times: Retail investor, Q1’22 Jun '220 times: Retail investor, Q2’22 Sep '220 times: Retail investor, Q3’22 Dec '220 times: Retail investor, Q4’22 Mar '23steady0/80%0/80%0/700%12%n=1+tx from settlement history blended with transcripts
Short1 time: Short, Q1’21 Jun '21, counts as said0 times: Short, Q2’21 Sep '211 time: Short, Q3’21 Dec '21, counts as said0 times: Short, Q4’21 Mar '220 times: Short, Q1’22 Jun '220 times: Short, Q2’22 Sep '220 times: Short, Q3’22 Dec '220 times: Short, Q4’22 Mar '23falling2/825%2/825%39/7056%17%n=1+tx from settlement history blended with transcripts
  • 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

Appearances and settled record

latest 12

Settled results come from the venues. Our own transcript counts appear here once transcripts arrive for these appearances. How we check.

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

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