Intel (INTC)

EarningsTranscriptsUpdated

As of Oct 23, 2026, Kalshi and Polymarket have settled 88 word markets on Intel’s earnings calls since 2025, on 39 different words. Next call: Oct 22, 2026 (14 words listed).

Next: Earnings call ·

14 words listed · Occasion page

Who counts: Kalshi: company speakers + operator

Kalshi

Intel: the words listed for Thu, Oct 22, how often each was said on past occasions, and the probability for this one
WordQ3’24Oct '24Q4’24Jan '25Q1’25Apr '25Q2’25Jul '25Q3’25year agoQ4’25Jan '26Q1’26Apr '26Q2’26last callTrendLast 8ScriptedAll-timeProbabilityMarket
Foundry37 times: Foundry, Q3’24 Oct '24, counts as said39 times: Foundry, Q4’24 Jan '25, counts as said19 times: Foundry, Q1’25 Apr '25, counts as said21 times: Foundry, Q2’25 Jul '25, counts as said28 times: Foundry, Q3’25 Oct '25, counts as said17 times: Foundry, Q4’25 Jan '26, counts as said27 times: Foundry, Q1’26 Apr '26, counts as said17 times: Foundry, Q2’26 Jul '26, counts as saidfalling8/8100%8/8100%40/8249%97%n=1+tx from settlement history blended with transcripts98¢ Kalshi
Panther Lake / 18A29 times: Panther Lake / 18A, Q3’24 Oct '24, counts as said35 times: Panther Lake / 18A, Q4’24 Jan '25, counts as said16 times: Panther Lake / 18A, Q1’25 Apr '25, counts as said26 times: Panther Lake / 18A, Q2’25 Jul '25, counts as said24 times: Panther Lake / 18A, Q3’25 Oct '25, counts as said17 times: Panther Lake / 18A, Q4’25 Jan '26, counts as said19 times: Panther Lake / 18A, Q1’26 Apr '26, counts as said30 times: Panther Lake / 18A, Q2’26 Jul '26, counts as saidsteady8/8100%8/8100%20/8224%97%n=1+tx from settlement history blended with transcripts98¢ Kalshi
Security0 times: Security, Q3’24 Oct '243 times: Security, Q4’24 Jan '25, counts as said2 times: Security, Q1’25 Apr '25, counts as said2 times: Security, Q2’25 Jul '25, counts as said1 time: Security, Q3’25 Oct '25, counts as said1 time: Security, Q4’25 Jan '26, counts as said2 times: Security, Q1’26 Apr '26, counts as said5 times: Security, Q2’26 Jul '26, counts as saidrising7/888%5/862%63/8277%83%n=4+tx from settlement history blended with transcripts85¢ Kalshi
NVIDIA0 times: NVIDIA, Q3’24 Oct '240 times: NVIDIA, Q4’24 Jan '250 times: NVIDIA, Q1’25 Apr '251 time: NVIDIA, Q2’25 Jul '25, counts as said8 times: NVIDIA, Q3’25 Oct '25, counts as said3 times: NVIDIA, Q4’25 Jan '26, counts as said1 time: NVIDIA, Q1’26 Apr '26, counts as said0 times: NVIDIA, Q2’26 Jul '26rising4/850%4/850%12/8215%66%n=4+tx from settlement history blended with transcripts46¢ Kalshi
Mobileye5 times: Mobileye, Q3’24 Oct '24, counts as said5 times: Mobileye, Q4’24 Jan '25, counts as said1 time: Mobileye, Q1’25 Apr '25, counts as said3 times: Mobileye, Q2’25 Jul '25, counts as said4 times: Mobileye, Q3’25 Oct '25, counts as said2 times: Mobileye, Q4’25 Jan '26, counts as said1 time: Mobileye, Q1’26 Apr '26, counts as said0 times: Mobileye, Q2’26 Jul '26falling7/888%7/888%38/8246%63%n=2+tx from settlement history blended with transcripts30¢ Kalshi
Ultra 3 / Ultra Series 30 times: Ultra 3 / Ultra Series 3, Q3’24 Oct '240 times: Ultra 3 / Ultra Series 3, Q4’24 Jan '250 times: Ultra 3 / Ultra Series 3, Q1’25 Apr '250 times: Ultra 3 / Ultra Series 3, Q2’25 Jul '253 times: Ultra 3 / Ultra Series 3, Q3’25 Oct '25, counts as said4 times: Ultra 3 / Ultra Series 3, Q4’25 Jan '26, counts as said1 time: Ultra 3 / Ultra Series 3, Q1’26 Apr '26, counts as said0 times: Ultra 3 / Ultra Series 3, Q2’26 Jul '26rising3/838%3/838%3/824%56%n=3+tx from settlement history blended with transcripts32¢ Kalshi
Government2 times: Government, Q3’24 Oct '24, counts as said5 times: Government, Q4’24 Jan '25, counts as said1 time: Government, Q1’25 Apr '25, counts as said2 times: Government, Q2’25 Jul '25, counts as said4 times: Government, Q3’25 Oct '25, counts as said2 times: Government, Q4’25 Jan '26, counts as said0 times: Government, Q1’26 Apr '260 times: Government, Q2’26 Jul '26falling6/875%6/875%35/8243%51%n=1+tx from settlement history blended with transcripts37¢ Kalshi
Clearwater Forest3 times: Clearwater Forest, Q3’24 Oct '24, counts as said5 times: Clearwater Forest, Q4’24 Jan '25, counts as said5 times: Clearwater Forest, Q1’25 Apr '25, counts as said1 time: Clearwater Forest, Q2’25 Jul '25, counts as said0 times: Clearwater Forest, Q3’25 Oct '250 times: Clearwater Forest, Q4’25 Jan '260 times: Clearwater Forest, Q1’26 Apr '262 times: Clearwater Forest, Q2’26 Jul '26, counts as saidfalling5/862%3/838%11/8213%49%transcripts from the transcript model50¢ Kalshi
Client Computing0 times: Client Computing, Q3’24 Oct '240 times: Client Computing, Q4’24 Jan '250 times: Client Computing, Q1’25 Apr '250 times: Client Computing, Q2’25 Jul '250 times: Client Computing, Q3’25 Oct '251 time: Client Computing, Q4’25 Jan '26, counts as said0 times: Client Computing, Q1’26 Apr '261 time: Client Computing, Q2’26 Jul '26, counts as saidrising2/825%2/825%23/8228%49%n=1+tx from settlement history blended with transcripts42¢ Kalshi
Fortinet0 times: Fortinet, Q3’24 Oct '240 times: Fortinet, Q4’24 Jan '250 times: Fortinet, Q1’25 Apr '250 times: Fortinet, Q2’25 Jul '250 times: Fortinet, Q3’25 Oct '250 times: Fortinet, Q4’25 Jan '260 times: Fortinet, Q1’26 Apr '262 times: Fortinet, Q2’26 Jul '26, counts as saidrising1/812%1/812%1/821%38%transcripts from the transcript model12¢ Kalshi
Arizona3 times: Arizona, Q3’24 Oct '24, counts as said0 times: Arizona, Q4’24 Jan '251 time: Arizona, Q1’25 Apr '25, counts as said2 times: Arizona, Q2’25 Jul '25, counts as said1 time: Arizona, Q3’25 Oct '25, counts as said1 time: Arizona, Q4’25 Jan '26, counts as said0 times: Arizona, Q1’26 Apr '260 times: Arizona, Q2’26 Jul '26falling5/862%4/850%17/8221%35%n=3+tx from settlement history blended with transcripts45¢ Kalshi
Desktop2 times: Desktop, Q3’24 Oct '24, counts as said0 times: Desktop, Q4’24 Jan '250 times: Desktop, Q1’25 Apr '251 time: Desktop, Q2’25 Jul '25, counts as said1 time: Desktop, Q3’25 Oct '25, counts as said1 time: Desktop, Q4’25 Jan '26, counts as said0 times: Desktop, Q1’26 Apr '260 times: Desktop, Q2’26 Jul '26falling4/850%4/850%52/8263%33%n=3+tx from settlement history blended with transcripts38¢ Kalshi
Apple0 times: Apple, Q3’24 Oct '240 times: Apple, Q4’24 Jan '252 times: Apple, Q1’25 Apr '25, counts as said0 times: Apple, Q2’25 Jul '250 times: Apple, Q3’25 Oct '250 times: Apple, Q4’25 Jan '262 times: Apple, Q1’26 Apr '26, counts as said0 times: Apple, Q2’26 Jul '26steady2/825%0/80%16/8220%30%n=3+tx from settlement history blended with transcripts10¢ Kalshi
Dividend0 times: Dividend, Q3’24 Oct '240 times: Dividend, Q4’24 Jan '250 times: Dividend, Q1’25 Apr '250 times: Dividend, Q2’25 Jul '250 times: Dividend, Q3’25 Oct '250 times: Dividend, Q4’25 Jan '260 times: Dividend, Q1’26 Apr '260 times: Dividend, Q2’26 Jul '26steady0/80%0/80%67/8282%11%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

1–28 of 28, most settled first
Intel: every word with settled markets, most settled first
WordQ3’24Oct '24Q4’24Jan '25Q1’25Apr '25Q2’25Jul '25Q3’25Oct '25Q4’25Jan '26Q1’26Apr '26Q2’26last callTrendLast 8ScriptedAll-timeProbability
Tariff0 times: Tariff, Q3’24 Oct '244 times: Tariff, Q4’24 Jan '25, counts as said12 times: Tariff, Q1’25 Apr '25, counts as said3 times: Tariff, Q2’25 Jul '25, counts as said0 times: Tariff, Q3’25 Oct '251 time: Tariff, Q4’25 Jan '26, counts as said0 times: Tariff, Q1’26 Apr '260 times: Tariff, Q2’26 Jul '26falling4/850%4/850%7/829%27%n=4+tx from settlement history blended with transcripts
Trump0 times: Trump, Q3’24 Oct '242 times: Trump, Q4’24 Jan '25, counts as said0 times: Trump, Q1’25 Apr '250 times: Trump, Q2’25 Jul '252 times: Trump, Q3’25 Oct '25, counts as said0 times: Trump, Q4’25 Jan '260 times: Trump, Q1’26 Apr '260 times: Trump, Q2’26 Jul '26falling2/825%2/825%2/822%26%n=4+tx from settlement history blended with transcripts
Panther Lake12 times: Panther Lake, Q3’24 Oct '24, counts as said14 times: Panther Lake, Q4’24 Jan '25, counts as said10 times: Panther Lake, Q1’25 Apr '25, counts as said10 times: Panther Lake, Q2’25 Jul '25, counts as said5 times: Panther Lake, Q3’25 Oct '25, counts as said5 times: Panther Lake, Q4’25 Jan '26, counts as said3 times: Panther Lake, Q1’26 Apr '26, counts as said5 times: Panther Lake, Q2’26 Jul '26, counts as saidfalling8/8100%6/875%12/8215%91%n=3+tx from settlement history blended with transcripts
Xeon10 times: Xeon, Q3’24 Oct '24, counts as said2 times: Xeon, Q4’24 Jan '25, counts as said2 times: Xeon, Q1’25 Apr '25, counts as said5 times: Xeon, Q2’25 Jul '25, counts as said2 times: Xeon, Q3’25 Oct '25, counts as said3 times: Xeon, Q4’25 Jan '26, counts as said7 times: Xeon, Q1’26 Apr '26, counts as said2 times: Xeon, Q2’26 Jul '26, counts as saidfalling8/8100%8/8100%58/8271%89%n=3+tx from settlement history blended with transcripts
Department of Defense0 times: Department of Defense, Q3’24 Oct '242 times: Department of Defense, Q4’24 Jan '25, counts as said0 times: Department of Defense, Q1’25 Apr '250 times: Department of Defense, Q2’25 Jul '250 times: Department of Defense, Q3’25 Oct '250 times: Department of Defense, Q4’25 Jan '260 times: Department of Defense, Q1’26 Apr '260 times: Department of Defense, Q2’26 Jul '26falling1/812%1/812%5/826%13%n=3+tx from settlement history blended with transcripts
Personal Computing0 times: Personal Computing, Q3’24 Oct '240 times: Personal Computing, Q4’24 Jan '250 times: Personal Computing, Q1’25 Apr '250 times: Personal Computing, Q2’25 Jul '250 times: Personal Computing, Q3’25 Oct '250 times: Personal Computing, Q4’25 Jan '260 times: Personal Computing, Q1’26 Apr '260 times: Personal Computing, Q2’26 Jul '26steady0/80%0/80%1/821%10%n=3+tx from settlement history blended with transcripts
Smart Factory0 times: Smart Factory, Q3’24 Oct '240 times: Smart Factory, Q4’24 Jan '250 times: Smart Factory, Q1’25 Apr '250 times: Smart Factory, Q2’25 Jul '250 times: Smart Factory, Q3’25 Oct '250 times: Smart Factory, Q4’25 Jan '260 times: Smart Factory, Q1’26 Apr '260 times: Smart Factory, Q2’26 Jul '26steady0/80%0/80%2/822%10%n=3+tx from settlement history blended with transcripts
Advanced9 times: Advanced, Q3’24 Oct '24, counts as said4 times: Advanced, Q4’24 Jan '25, counts as said2 times: Advanced, Q1’25 Apr '25, counts as said3 times: Advanced, Q2’25 Jul '25, counts as said8 times: Advanced, Q3’25 Oct '25, counts as said11 times: Advanced, Q4’25 Jan '26, counts as said11 times: Advanced, Q1’26 Apr '26, counts as said10 times: Advanced, Q2’26 Jul '26, counts as saidrising8/8100%8/8100%45/8255%95%n=1+tx from settlement history blended with transcripts
AIPC12 times: AIPC, Q3’24 Oct '24, counts as said3 times: AIPC, Q4’24 Jan '25, counts as said7 times: AIPC, Q1’25 Apr '25, counts as said2 times: AIPC, Q2’25 Jul '25, counts as said5 times: AIPC, Q3’25 Oct '25, counts as said3 times: AIPC, Q4’25 Jan '26, counts as said2 times: AIPC, Q1’26 Apr '26, counts as said1 time: AIPC, Q2’26 Jul '26, counts as saidfalling8/8100%8/8100%13/8216%85%n=1+tx from settlement history blended with transcripts
AI / Artificial Intelligence5+ times32 times: AI / Artificial Intelligence 5+ times, Q3’24 Oct '24, counts as said13 times: AI / Artificial Intelligence 5+ times, Q4’24 Jan '25, counts as said25 times: AI / Artificial Intelligence 5+ times, Q1’25 Apr '25, counts as said23 times: AI / Artificial Intelligence 5+ times, Q2’25 Jul '25, counts as said49 times: AI / Artificial Intelligence 5+ times, Q3’25 Oct '25, counts as said41 times: AI / Artificial Intelligence 5+ times, Q4’25 Jan '26, counts as said27 times: AI / Artificial Intelligence 5+ times, Q1’26 Apr '26, counts as said23 times: AI / Artificial Intelligence 5+ times, Q2’26 Jul '26, counts as saidsteady8/8100%8/8100%35/8243%93%n=1+tx from settlement history blended with transcripts
Backlog0 times: Backlog, Q3’24 Oct '240 times: Backlog, Q4’24 Jan '250 times: Backlog, Q1’25 Apr '250 times: Backlog, Q2’25 Jul '250 times: Backlog, Q3’25 Oct '250 times: Backlog, Q4’25 Jan '263 times: Backlog, Q1’26 Apr '26, counts as said2 times: Backlog, Q2’26 Jul '26, counts as saidrising2/825%2/825%21/8226%61%n=1+tx from settlement history blended with transcripts
CPU / Central Processing Unit12 times: CPU / Central Processing Unit, Q3’24 Oct '24, counts as said10 times: CPU / Central Processing Unit, Q4’24 Jan '25, counts as said4 times: CPU / Central Processing Unit, Q1’25 Apr '25, counts as said6 times: CPU / Central Processing Unit, Q2’25 Jul '25, counts as said10 times: CPU / Central Processing Unit, Q3’25 Oct '25, counts as said16 times: CPU / Central Processing Unit, Q4’25 Jan '26, counts as said43 times: CPU / Central Processing Unit, Q1’26 Apr '26, counts as said22 times: CPU / Central Processing Unit, Q2’26 Jul '26, counts as saidrising8/8100%8/8100%60/8273%97%n=1+tx from settlement history blended with transcripts
Chip3 times: Chip, Q3’24 Oct '24, counts as said4 times: Chip, Q4’24 Jan '25, counts as said3 times: Chip, Q1’25 Apr '25, counts as said4 times: Chip, Q2’25 Jul '25, counts as said2 times: Chip, Q3’25 Oct '25, counts as said8 times: Chip, Q4’25 Jan '26, counts as said2 times: Chip, Q1’26 Apr '26, counts as said3 times: Chip, Q2’26 Jul '26, counts as saidsteady8/8100%6/875%59/8272%89%n=1+tx from settlement history blended with transcripts
Data Center4 times: Data Center, Q3’24 Oct '24, counts as said18 times: Data Center, Q4’24 Jan '25, counts as said10 times: Data Center, Q1’25 Apr '25, counts as said3 times: Data Center, Q2’25 Jul '25, counts as said7 times: Data Center, Q3’25 Oct '25, counts as said21 times: Data Center, Q4’25 Jan '26, counts as said10 times: Data Center, Q1’26 Apr '26, counts as said8 times: Data Center, Q2’26 Jul '26, counts as saidsteady8/8100%7/888%65/8279%95%n=1+tx from settlement history blended with transcripts
Data Center5+ times4 times: Data Center 5+ times, Q3’24 Oct '24, below the threshold18 times: Data Center 5+ times, Q4’24 Jan '25, counts as said10 times: Data Center 5+ times, Q1’25 Apr '25, counts as said3 times: Data Center 5+ times, Q2’25 Jul '25, below the threshold7 times: Data Center 5+ times, Q3’25 Oct '25, counts as said21 times: Data Center 5+ times, Q4’25 Jan '26, counts as said10 times: Data Center 5+ times, Q1’26 Apr '26, counts as said8 times: Data Center 5+ times, Q2’26 Jul '26, counts as saidsteady6/875%2/825%57/8270%76%n=1+tx from settlement history blended with transcripts
Growth5+ times12 times: Growth 5+ times, Q3’24 Oct '24, counts as said6 times: Growth 5+ times, Q4’24 Jan '25, counts as said11 times: Growth 5+ times, Q1’25 Apr '25, counts as said4 times: Growth 5+ times, Q2’25 Jul '25, below the threshold13 times: Growth 5+ times, Q3’25 Oct '25, counts as said8 times: Growth 5+ times, Q4’25 Jan '26, counts as said19 times: Growth 5+ times, Q1’26 Apr '26, counts as said21 times: Growth 5+ times, Q2’26 Jul '26, counts as saidrising7/888%7/888%81/8299%82%n=1+tx from settlement history blended with transcripts
Intel Foundry14 times: Intel Foundry, Q3’24 Oct '24, counts as said27 times: Intel Foundry, Q4’24 Jan '25, counts as said4 times: Intel Foundry, Q1’25 Apr '25, counts as said5 times: Intel Foundry, Q2’25 Jul '25, counts as said11 times: Intel Foundry, Q3’25 Oct '25, counts as said5 times: Intel Foundry, Q4’25 Jan '26, counts as said7 times: Intel Foundry, Q1’26 Apr '26, counts as said9 times: Intel Foundry, Q2’26 Jul '26, counts as saidfalling8/8100%8/8100%18/8222%93%n=1+tx from settlement history blended with transcripts
Quarterevery call 10+ times49 times: Quarter 10+ times, Q3’24 Oct '24, counts as said39 times: Quarter 10+ times, Q4’24 Jan '25, counts as said25 times: Quarter 10+ times, Q1’25 Apr '25, counts as said31 times: Quarter 10+ times, Q2’25 Jul '25, counts as said39 times: Quarter 10+ times, Q3’25 Oct '25, counts as said35 times: Quarter 10+ times, Q4’25 Jan '26, counts as said44 times: Quarter 10+ times, Q1’26 Apr '26, counts as said53 times: Quarter 10+ times, Q2’26 Jul '26, counts as saidsteady8/8100%8/8100%82/82100%89%n=1+tx from settlement history blended with transcripts
Tool3 times: Tool, Q3’24 Oct '24, counts as said0 times: Tool, Q4’24 Jan '253 times: Tool, Q1’25 Apr '25, counts as said7 times: Tool, Q2’25 Jul '25, counts as said1 time: Tool, Q3’25 Oct '25, counts as said5 times: Tool, Q4’25 Jan '26, counts as said2 times: Tool, Q1’26 Apr '26, counts as said4 times: Tool, Q2’26 Jul '26, counts as saidrising7/888%6/875%49/8260%84%n=1+tx from settlement history blended with transcripts
China1 time: China, Q3’24 Oct '24, counts as said0 times: China, Q4’24 Jan '250 times: China, Q1’25 Apr '250 times: China, Q2’25 Jul '250 times: China, Q3’25 Oct '250 times: China, Q4’25 Jan '260 times: China, Q1’26 Apr '260 times: China, Q2’26 Jul '26falling1/812%1/812%57/8270%15%n=1+tx from settlement history blended with transcripts
Fiscalnever said 10+ times0 times: Fiscal 10+ times, Q3’24 Oct '241 time: Fiscal 10+ times, Q4’24 Jan '25, below the threshold1 time: Fiscal 10+ times, Q1’25 Apr '25, below the threshold2 times: Fiscal 10+ times, Q2’25 Jul '25, below the threshold0 times: Fiscal 10+ times, Q3’25 Oct '251 time: Fiscal 10+ times, Q4’25 Jan '26, below the threshold0 times: Fiscal 10+ times, Q1’26 Apr '260 times: Fiscal 10+ times, Q2’26 Jul '26falling0/80%0/80%0/820%3%n=1+tx from settlement history blended with transcripts
Income10+ times4 times: Income 10+ times, Q3’24 Oct '24, below the threshold6 times: Income 10+ times, Q4’24 Jan '25, below the threshold1 time: Income 10+ times, Q1’25 Apr '25, below the threshold3 times: Income 10+ times, Q2’25 Jul '25, below the threshold1 time: Income 10+ times, Q3’25 Oct '25, below the threshold0 times: Income 10+ times, Q4’25 Jan '260 times: Income 10+ times, Q1’26 Apr '260 times: Income 10+ times, Q2’26 Jul '26falling0/80%0/80%4/825%3%n=1+tx from settlement history blended with transcripts
Irannever said0 times: Iran, Q3’24 Oct '240 times: Iran, Q4’24 Jan '250 times: Iran, Q1’25 Apr '250 times: Iran, Q2’25 Jul '250 times: Iran, Q3’25 Oct '250 times: Iran, Q4’25 Jan '260 times: Iran, Q1’26 Apr '260 times: Iran, Q2’26 Jul '26steady0/80%0/80%0/820%12%n=1+tx from settlement history blended with transcripts
Lab0 times: Lab, Q3’24 Oct '240 times: Lab, Q4’24 Jan '250 times: Lab, Q1’25 Apr '250 times: Lab, Q2’25 Jul '250 times: Lab, Q3’25 Oct '250 times: Lab, Q4’25 Jan '261 time: Lab, Q1’26 Apr '26, counts as said0 times: Lab, Q2’26 Jul '26steady1/812%0/80%11/8213%20%n=1+tx from settlement history blended with transcripts
Node Rampnever said0 times: Node Ramp, Q3’24 Oct '240 times: Node Ramp, Q4’24 Jan '250 times: Node Ramp, Q1’25 Apr '250 times: Node Ramp, Q2’25 Jul '250 times: Node Ramp, Q3’25 Oct '250 times: Node Ramp, Q4’25 Jan '260 times: Node Ramp, Q1’26 Apr '260 times: Node Ramp, Q2’26 Jul '26steady0/80%0/80%0/820%12%n=1+tx from settlement history blended with transcripts
Restructuring9 times: Restructuring, Q3’24 Oct '24, counts as said1 time: Restructuring, Q4’24 Jan '25, counts as said1 time: Restructuring, Q1’25 Apr '25, counts as said3 times: Restructuring, Q2’25 Jul '25, counts as said0 times: Restructuring, Q3’25 Oct '250 times: Restructuring, Q4’25 Jan '260 times: Restructuring, Q1’26 Apr '260 times: Restructuring, Q2’26 Jul '26falling4/850%4/850%27/8233%21%n=1+tx from settlement history blended with transcripts
Shutdown / Shut Down0 times: Shutdown / Shut Down, Q3’24 Oct '240 times: Shutdown / Shut Down, Q4’24 Jan '250 times: Shutdown / Shut Down, Q1’25 Apr '250 times: Shutdown / Shut Down, Q2’25 Jul '250 times: Shutdown / Shut Down, Q3’25 Oct '250 times: Shutdown / Shut Down, Q4’25 Jan '260 times: Shutdown / Shut Down, Q1’26 Apr '260 times: Shutdown / Shut Down, Q2’26 Jul '26steady0/80%0/80%4/825%13%n=1+tx from settlement history blended with transcripts
Siemens0 times: Siemens, Q3’24 Oct '240 times: Siemens, Q4’24 Jan '250 times: Siemens, Q1’25 Apr '250 times: Siemens, Q2’25 Jul '250 times: Siemens, Q3’25 Oct '250 times: Siemens, Q4’25 Jan '260 times: Siemens, Q1’26 Apr '260 times: Siemens, Q2’26 Jul '26steady0/80%0/80%3/824%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 88 of 88 settled words resolved (100.0%). How we check.

Recent appearances and how their listed words settled
DateAppearanceTextWordsSettledOur count agreed
Jul 23, 2026Earnings call FY26 Q2Speaker-labelled transcript3414 yes · 20 no34/34 (100%)
Apr 23, 2026Earnings call FY26 Q1Speaker-labelled transcript157 yes · 8 no15/15 (100%)
Jan 22, 2026Earnings call FY25 Q4Speaker-labelled transcript138 yes · 5 no13/13 (100%)
Oct 23, 2025Earnings call FY25 Q3Speaker-labelled transcript2616 yes · 10 no26/26 (100%)
Jul 24, 2025Earnings call FY25 Q2Speaker-labelled transcript0––
Apr 24, 2025Earnings call FY25 Q1Speaker-labelled transcript0––
Jan 30, 2025Earnings call FY24 Q4Speaker-labelled transcript0––
Oct 31, 2024Earnings call FY24 Q3Speaker-labelled transcript0––
Aug 1, 2024Earnings call FY24 Q2Speaker-labelled transcript0––
Apr 25, 2024Earnings call FY24 Q1Speaker-labelled transcript0––
Jan 25, 2024Earnings call FY23 Q4Speaker-labelled transcript0––
Oct 26, 2023Earnings call FY23 Q3Speaker-labelled transcript0––

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

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