Progressive (PGR)

EarningsTranscriptsUpdated

As of Oct 24, 2026, Kalshi has settled 22 word markets on Progressive’s earnings calls since 2026, on 12 different words. Next call: Nov 3, 2026 (12 words listed).

Next: Earnings call ·

12 words listed · Occasion page

Who counts: Kalshi: company speakers + operator

Kalshi

Progressive: the words listed for Tue, Nov 3, 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 '26Q1’26May '26Q2’26last callTrendLast 8ScriptedAll-timeProbabilityMarket
M&A / Acquisition3 times: M&A / Acquisition, Q3’24 Nov '24, counts as said8 times: M&A / Acquisition, Q4’24 Mar '25, counts as said8 times: M&A / Acquisition, Q1’25 May '25, counts as said3 times: M&A / Acquisition, Q2’25 Aug '25, counts as said5 times: M&A / Acquisition, Q3’25 Nov '25, counts as said4 times: M&A / Acquisition, Q4’25 Mar '26, counts as said4 times: M&A / Acquisition, Q1’26 May '26, counts as said6 times: M&A / Acquisition, Q2’26 Aug '26, counts as saidsteady8/8100%4/850%48/5981%91%n=2+tx from settlement history blended with transcripts89¢ Kalshi
AI / Artificial Intelligence2 times: AI / Artificial Intelligence, Q3’24 Nov '24, counts as said0 times: AI / Artificial Intelligence, Q4’24 Mar '250 times: AI / Artificial Intelligence, Q1’25 May '250 times: AI / Artificial Intelligence, Q2’25 Aug '250 times: AI / Artificial Intelligence, Q3’25 Nov '2511 times: AI / Artificial Intelligence, Q4’25 Mar '26, counts as said6 times: AI / Artificial Intelligence, Q1’26 May '26, counts as said13 times: AI / Artificial Intelligence, Q2’26 Aug '26, counts as saidrising4/850%1/812%13/5922%89%n=2+tx from settlement history blended with transcripts80¢ Kalshi
Bundle / Bundling4 times: Bundle / Bundling, Q3’24 Nov '24, counts as said8 times: Bundle / Bundling, Q4’24 Mar '25, counts as said8 times: Bundle / Bundling, Q1’25 May '25, counts as said2 times: Bundle / Bundling, Q2’25 Aug '25, counts as said1 time: Bundle / Bundling, Q3’25 Nov '25, counts as said1 time: Bundle / Bundling, Q4’25 Mar '26, counts as said1 time: Bundle / Bundling, Q1’26 May '26, counts as said10 times: Bundle / Bundling, Q2’26 Aug '26, counts as saidsteady8/8100%2/825%45/5976%84%transcripts from the transcript model82¢ Kalshi
Inflation2 times: Inflation, Q3’24 Nov '24, counts as said0 times: Inflation, Q4’24 Mar '253 times: Inflation, Q1’25 May '25, counts as said4 times: Inflation, Q2’25 Aug '25, counts as said1 time: Inflation, Q3’25 Nov '25, counts as said5 times: Inflation, Q4’25 Mar '26, counts as said2 times: Inflation, Q1’26 May '26, counts as said1 time: Inflation, Q2’26 Aug '26, counts as saidsteady7/888%3/838%33/5956%82%n=2+tx from settlement history blended with transcripts54¢ Kalshi
Reinsurance0 times: Reinsurance, Q3’24 Nov '240 times: Reinsurance, Q4’24 Mar '250 times: Reinsurance, Q1’25 May '250 times: Reinsurance, Q2’25 Aug '250 times: Reinsurance, Q3’25 Nov '253 times: Reinsurance, Q4’25 Mar '26, counts as said0 times: Reinsurance, Q1’26 May '264 times: Reinsurance, Q2’26 Aug '26, counts as saidrising2/825%1/812%26/5944%58%transcripts from the transcript model55¢ Kalshi
Snapshot0 times: Snapshot, Q3’24 Nov '240 times: Snapshot, Q4’24 Mar '250 times: Snapshot, Q1’25 May '250 times: Snapshot, Q2’25 Aug '251 time: Snapshot, Q3’25 Nov '25, counts as said3 times: Snapshot, Q4’25 Mar '26, counts as said0 times: Snapshot, Q1’26 May '261 time: Snapshot, Q2’26 Aug '26, counts as saidrising3/838%0/80%45/5976%57%n=2+tx from settlement history blended with transcripts62¢ Kalshi
Buyback / Buy Back0 times: Buyback / Buy Back, Q3’24 Nov '240 times: Buyback / Buy Back, Q4’24 Mar '250 times: Buyback / Buy Back, Q1’25 May '251 time: Buyback / Buy Back, Q2’25 Aug '25, counts as said7 times: Buyback / Buy Back, Q3’25 Nov '25, counts as said0 times: Buyback / Buy Back, Q4’25 Mar '262 times: Buyback / Buy Back, Q1’26 May '26, counts as said0 times: Buyback / Buy Back, Q2’26 Aug '26rising3/838%0/80%9/5915%57%transcripts from the transcript model14¢ Kalshi
Catastrophe1 time: Catastrophe, Q3’24 Nov '24, counts as said1 time: Catastrophe, Q4’24 Mar '25, counts as said0 times: Catastrophe, Q1’25 May '250 times: Catastrophe, Q2’25 Aug '250 times: Catastrophe, Q3’25 Nov '253 times: Catastrophe, Q4’25 Mar '26, counts as said0 times: Catastrophe, Q1’26 May '261 time: Catastrophe, Q2’26 Aug '26, counts as saidsteady4/850%3/838%16/5927%57%n=2+tx from settlement history blended with transcripts76¢ Kalshi
Homeowner1 time: Homeowner, Q3’24 Nov '24, counts as said0 times: Homeowner, Q4’24 Mar '255 times: Homeowner, Q1’25 May '25, counts as said0 times: Homeowner, Q2’25 Aug '250 times: Homeowner, Q3’25 Nov '250 times: Homeowner, Q4’25 Mar '260 times: Homeowner, Q1’26 May '263 times: Homeowner, Q2’26 Aug '26, counts as saidsteady3/838%2/825%42/5971%48%transcripts from the transcript model66¢ Kalshi
Open the Housenever said0 times: Open the House, Q3’24 Nov '240 times: Open the House, Q4’24 Mar '250 times: Open the House, Q1’25 May '250 times: Open the House, Q2’25 Aug '250 times: Open the House, Q3’25 Nov '250 times: Open the House, Q4’25 Mar '260 times: Open the House, Q1’26 May '260 times: Open the House, Q2’26 Aug '26steady0/80%0/80%0/590%11%n=1+tx from settlement history blended with transcripts8¢ Kalshi
Hipponever said0 times: Hippo, Q3’24 Nov '240 times: Hippo, Q4’24 Mar '250 times: Hippo, Q1’25 May '250 times: Hippo, Q2’25 Aug '250 times: Hippo, Q3’25 Nov '250 times: Hippo, Q4’25 Mar '260 times: Hippo, Q1’26 May '260 times: Hippo, Q2’26 Aug '26steady0/80%0/80%0/590%10%n=2+tx from settlement history blended with transcripts4¢ Kalshi
Rosellanever said0 times: Rosella, Q3’24 Nov '240 times: Rosella, Q4’24 Mar '250 times: Rosella, Q1’25 May '250 times: Rosella, Q2’25 Aug '250 times: Rosella, Q3’25 Nov '250 times: Rosella, Q4’25 Mar '260 times: Rosella, Q1’26 May '260 times: Rosella, Q2’26 Aug '26steady0/80%0/80%0/590%10%n=2+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

1–4 of 4, most settled first
Progressive: every word with settled markets, most settled first
WordQ3’24Nov '24Q4’24Mar '25Q1’25May '25Q2’25Aug '25Q3’25Nov '25Q4’25Mar '26Q1’26May '26Q2’26last callTrendLast 8ScriptedAll-timeProbability
Headwind1 time: Headwind, Q3’24 Nov '24, counts as said0 times: Headwind, Q4’24 Mar '250 times: Headwind, Q1’25 May '250 times: Headwind, Q2’25 Aug '252 times: Headwind, Q3’25 Nov '25, counts as said1 time: Headwind, Q4’25 Mar '26, counts as said1 time: Headwind, Q1’26 May '26, counts as said0 times: Headwind, Q2’26 Aug '26steady4/850%2/825%10/5917%45%n=2+tx from settlement history blended with transcripts
Buyback0 times: Buyback, Q3’24 Nov '240 times: Buyback, Q4’24 Mar '250 times: Buyback, Q1’25 May '251 time: Buyback, Q2’25 Aug '25, counts as said7 times: Buyback, Q3’25 Nov '25, counts as said0 times: Buyback, Q4’25 Mar '262 times: Buyback, Q1’26 May '26, counts as said0 times: Buyback, Q2’26 Aug '26rising3/838%0/80%9/5915%46%n=2+tx from settlement history blended with transcripts
Pet Insurance0 times: Pet Insurance, Q3’24 Nov '240 times: Pet Insurance, Q4’24 Mar '250 times: Pet Insurance, Q1’25 May '250 times: Pet Insurance, Q2’25 Aug '250 times: Pet Insurance, Q3’25 Nov '252 times: Pet Insurance, Q4’25 Mar '26, counts as said0 times: Pet Insurance, Q1’26 May '260 times: Pet Insurance, Q2’26 Aug '26rising1/812%1/812%1/592%22%n=2+tx from settlement history blended with transcripts
Iran / Middle East0 times: Iran / Middle East, Q3’24 Nov '240 times: Iran / Middle East, Q4’24 Mar '250 times: Iran / Middle East, Q1’25 May '250 times: Iran / Middle East, Q2’25 Aug '250 times: Iran / Middle East, Q3’25 Nov '250 times: Iran / Middle East, Q4’25 Mar '260 times: Iran / Middle East, Q1’26 May '260 times: Iran / Middle East, Q2’26 Aug '26steady0/80%0/80%1/592%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 21 of 22 settled words resolved (95.5%). How we check.

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

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