Tesla (TSLA)

EarningsTranscriptsUpdated

Every word

41–97 of 97, most settled first · page 2 of 2
Tesla: every word with settled markets, most settled first
WordQ4’24Jan '25Q1’25Apr '25Q2’25Jul '25Q3’25Oct '25Q4’25Jan '26Q1’26Apr '26Q2’26Jul '26Q3’26last callTrendLast 8ScriptedAll-timeProbability
Fly / Flying0 times: Fly / Flying, Q4’24 Jan '250 times: Fly / Flying, Q1’25 Apr '250 times: Fly / Flying, Q2’25 Jul '250 times: Fly / Flying, Q3’25 Oct '250 times: Fly / Flying, Q4’25 Jan '260 times: Fly / Flying, Q1’26 Apr '260 times: Fly / Flying, Q2’26 Jul '260 times: Fly / Flying, Q3’26 Oct '26steady0/80%0/80%4/626%74%n=1+tx from settlement history blended with transcripts
Growth5+ times11 times: Growth 5+ times, Q4’24 Jan '25, counts as said0 times: Growth 5+ times, Q1’25 Apr '253 times: Growth 5+ times, Q2’25 Jul '25, below the threshold4 times: Growth 5+ times, Q3’25 Oct '25, below the threshold8 times: Growth 5+ times, Q4’25 Jan '26, counts as said7 times: Growth 5+ times, Q1’26 Apr '26, counts as said15 times: Growth 5+ times, Q2’26 Jul '26, counts as said13 times: Growth 5+ times, Q3’26 Oct '26, counts as saidrising5/862%4/850%39/6263%74%n=1+tx from settlement history blended with transcripts
Margin4 times: Margin, Q4’24 Jan '25, counts as said3 times: Margin, Q1’25 Apr '25, counts as said6 times: Margin, Q2’25 Jul '25, counts as said5 times: Margin, Q3’25 Oct '25, counts as said9 times: Margin, Q4’25 Jan '26, counts as said3 times: Margin, Q1’26 Apr '26, counts as said7 times: Margin, Q2’26 Jul '26, counts as said8 times: Margin, Q3’26 Oct '26, counts as saidrising8/8100%8/8100%58/6294%92%n=1+tx from settlement history blended with transcripts
Megapack1 time: Megapack, Q4’24 Jan '25, counts as said2 times: Megapack, Q1’25 Apr '25, counts as said4 times: Megapack, Q2’25 Jul '25, counts as said12 times: Megapack, Q3’25 Oct '25, counts as said4 times: Megapack, Q4’25 Jan '26, counts as said3 times: Megapack, Q1’26 Apr '26, counts as said4 times: Megapack, Q2’26 Jul '26, counts as said3 times: Megapack, Q3’26 Oct '26, counts as saidsteady8/8100%8/8100%26/6242%88%n=1+tx from settlement history blended with transcripts
Optimus3+ times38 times: Optimus 3+ times, Q4’24 Jan '25, counts as said16 times: Optimus 3+ times, Q1’25 Apr '25, counts as said25 times: Optimus 3+ times, Q2’25 Jul '25, counts as said37 times: Optimus 3+ times, Q3’25 Oct '25, counts as said31 times: Optimus 3+ times, Q4’25 Jan '26, counts as said29 times: Optimus 3+ times, Q1’26 Apr '26, counts as said57 times: Optimus 3+ times, Q2’26 Jul '26, counts as said43 times: Optimus 3+ times, Q3’26 Oct '26, counts as saidrising8/8100%8/8100%18/6229%95%n=1+tx from settlement history blended with transcripts
Protest0 times: Protest, Q4’24 Jan '252 times: Protest, Q1’25 Apr '25, counts as said0 times: Protest, Q2’25 Jul '250 times: Protest, Q3’25 Oct '250 times: Protest, Q4’25 Jan '260 times: Protest, Q1’26 Apr '260 times: Protest, Q2’26 Jul '260 times: Protest, Q3’26 Oct '26falling1/812%1/812%1/622%23%n=1+tx from settlement history blended with transcripts
Rare Earth0 times: Rare Earth, Q4’24 Jan '251 time: Rare Earth, Q1’25 Apr '25, counts as said0 times: Rare Earth, Q2’25 Jul '250 times: Rare Earth, Q3’25 Oct '251 time: Rare Earth, Q4’25 Jan '26, counts as said0 times: Rare Earth, Q1’26 Apr '260 times: Rare Earth, Q2’26 Jul '260 times: Rare Earth, Q3’26 Oct '26steady2/825%1/812%2/623%34%n=1+tx from settlement history blended with transcripts
Refinery0 times: Refinery, Q4’24 Jan '256 times: Refinery, Q1’25 Apr '25, counts as said0 times: Refinery, Q2’25 Jul '250 times: Refinery, Q3’25 Oct '2512 times: Refinery, Q4’25 Jan '26, counts as said0 times: Refinery, Q1’26 Apr '262 times: Refinery, Q2’26 Jul '26, counts as said0 times: Refinery, Q3’26 Oct '26steady3/838%3/838%8/6213%72%n=1+tx from settlement history blended with transcripts
Robotaxi10+ times1 time: Robotaxi 10+ times, Q4’24 Jan '25, below the threshold12 times: Robotaxi 10+ times, Q1’25 Apr '25, counts as said14 times: Robotaxi 10+ times, Q2’25 Jul '25, counts as said11 times: Robotaxi 10+ times, Q3’25 Oct '25, counts as said15 times: Robotaxi 10+ times, Q4’25 Jan '26, counts as said27 times: Robotaxi 10+ times, Q1’26 Apr '26, counts as said30 times: Robotaxi 10+ times, Q2’26 Jul '26, counts as said22 times: Robotaxi 10+ times, Q3’26 Oct '26, counts as saidrising7/888%2/825%9/6215%79%n=1+tx from settlement history blended with transcripts
Robotics2 times: Robotics, Q4’24 Jan '25, counts as said0 times: Robotics, Q1’25 Apr '251 time: Robotics, Q2’25 Jul '25, counts as said0 times: Robotics, Q3’25 Oct '251 time: Robotics, Q4’25 Jan '26, counts as said0 times: Robotics, Q1’26 Apr '261 time: Robotics, Q2’26 Jul '26, counts as said2 times: Robotics, Q3’26 Oct '26, counts as saidsteady5/862%5/862%12/6219%64%n=1+tx from settlement history blended with transcripts
Rocket0 times: Rocket, Q4’24 Jan '250 times: Rocket, Q1’25 Apr '250 times: Rocket, Q2’25 Jul '250 times: Rocket, Q3’25 Oct '250 times: Rocket, Q4’25 Jan '260 times: Rocket, Q1’26 Apr '260 times: Rocket, Q2’26 Jul '261 time: Rocket, Q3’26 Oct '26, counts as saidrising1/812%1/812%8/6213%42%n=1+tx from settlement history blended with transcripts
Thruster / Rocket0 times: Thruster / Rocket, Q4’24 Jan '250 times: Thruster / Rocket, Q1’25 Apr '250 times: Thruster / Rocket, Q2’25 Jul '250 times: Thruster / Rocket, Q3’25 Oct '250 times: Thruster / Rocket, Q4’25 Jan '260 times: Thruster / Rocket, Q1’26 Apr '260 times: Thruster / Rocket, Q2’26 Jul '261 time: Thruster / Rocket, Q3’26 Oct '26, counts as saidrising1/812%1/812%7/6211%74%n=1+tx from settlement history blended with transcripts
SI / Super Intelligence0 times: SI / Super Intelligence, Q4’24 Jan '250 times: SI / Super Intelligence, Q1’25 Apr '252 times: SI / Super Intelligence, Q2’25 Jul '25, counts as said0 times: SI / Super Intelligence, Q3’25 Oct '250 times: SI / Super Intelligence, Q4’25 Jan '260 times: SI / Super Intelligence, Q1’26 Apr '260 times: SI / Super Intelligence, Q2’26 Jul '263 times: SI / Super Intelligence, Q3’26 Oct '26, counts as saidrising2/825%1/812%17/6227%56%n=1+tx from settlement history blended with transcripts
Wing / Spoiler0 times: Wing / Spoiler, Q4’24 Jan '250 times: Wing / Spoiler, Q1’25 Apr '250 times: Wing / Spoiler, Q2’25 Jul '250 times: Wing / Spoiler, Q3’25 Oct '250 times: Wing / Spoiler, Q4’25 Jan '260 times: Wing / Spoiler, Q1’26 Apr '260 times: Wing / Spoiler, Q2’26 Jul '260 times: Wing / Spoiler, Q3’26 Oct '26steady0/80%0/80%5/628%74%n=1+tx from settlement history blended with transcripts
Tariff5+ times2 times: Tariff 5+, Q4’24 Jan '25, below the threshold26 times: Tariff 5+, Q1’25 Apr '25, counts as said10 times: Tariff 5+, Q2’25 Jul '25, counts as said4 times: Tariff 5+, Q3’25 Oct '25, below the threshold3 times: Tariff 5+, Q4’25 Jan '26, below the threshold7 times: Tariff 5+, Q1’26 Apr '26, counts as said2 times: Tariff 5+, Q2’26 Jul '26, below the threshold2 times: Tariff 5+, Q3’26 Oct '26, below the thresholdfalling3/838%3/838%4/626%38%n=1+tx from settlement history blended with transcripts
xAI0 times: xAI, Q4’24 Jan '250 times: xAI, Q1’25 Apr '257 times: xAI, Q2’25 Jul '25, counts as said2 times: xAI, Q3’25 Oct '25, counts as said3 times: xAI, Q4’25 Jan '26, counts as said0 times: xAI, Q1’26 Apr '260 times: xAI, Q2’26 Jul '260 times: xAI, Q3’26 Oct '26falling3/838%1/812%6/6210%47%n=1+tx from settlement history blended with transcripts
20270 times: 2027, Q4’24 Jan '250 times: 2027, Q1’25 Apr '250 times: 2027, Q2’25 Jul '250 times: 2027, Q3’25 Oct '250 times: 2027, Q4’25 Jan '260 times: 2027, Q1’26 Apr '260 times: 2027, Q2’26 Jul '262 times: 2027, Q3’26 Oct '26, counts as saidrising1/812%1/812%1/622%19%n=1+tx from settlement history blended with transcripts
46800 times: 4680, Q4’24 Jan '251 time: 4680, Q1’25 Apr '25, counts as said0 times: 4680, Q2’25 Jul '250 times: 4680, Q3’25 Oct '251 time: 4680, Q4’25 Jan '26, counts as said1 time: 4680, Q1’26 Apr '26, counts as said0 times: 4680, Q2’26 Jul '260 times: 4680, Q3’26 Oct '26steady3/838%2/825%20/6232%34%n=1+tx from settlement history blended with transcripts
4680 battery cell0 times: 4680 battery cell, Q4’24 Jan '250 times: 4680 battery cell, Q1’25 Apr '250 times: 4680 battery cell, Q2’25 Jul '250 times: 4680 battery cell, Q3’25 Oct '250 times: 4680 battery cell, Q4’25 Jan '260 times: 4680 battery cell, Q1’26 Apr '260 times: 4680 battery cell, Q2’26 Jul '260 times: 4680 battery cell, Q3’26 Oct '26steady0/80%0/80%1/622%14%n=1+tx from settlement history blended with transcripts
620 Milenever said0 times: 620 Mile, Q4’24 Jan '250 times: 620 Mile, Q1’25 Apr '250 times: 620 Mile, Q2’25 Jul '250 times: 620 Mile, Q3’25 Oct '250 times: 620 Mile, Q4’25 Jan '260 times: 620 Mile, Q1’26 Apr '260 times: 620 Mile, Q2’26 Jul '260 times: 620 Mile, Q3’26 Oct '26steady0/80%0/80%0/620%19%n=1+tx from settlement history blended with transcripts
Acquisition0 times: Acquisition, Q4’24 Jan '250 times: Acquisition, Q1’25 Apr '250 times: Acquisition, Q2’25 Jul '250 times: Acquisition, Q3’25 Oct '250 times: Acquisition, Q4’25 Jan '260 times: Acquisition, Q1’26 Apr '260 times: Acquisition, Q2’26 Jul '260 times: Acquisition, Q3’26 Oct '26steady0/80%0/80%13/6221%14%n=1+tx from settlement history blended with transcripts
Afford / Affordable3 times: Afford / Affordable, Q4’24 Jan '25, counts as said3 times: Afford / Affordable, Q1’25 Apr '25, counts as said5 times: Afford / Affordable, Q2’25 Jul '25, counts as said0 times: Afford / Affordable, Q3’25 Oct '250 times: Afford / Affordable, Q4’25 Jan '261 time: Afford / Affordable, Q1’26 Apr '26, counts as said1 time: Afford / Affordable, Q2’26 Jul '26, counts as said0 times: Afford / Affordable, Q3’26 Oct '26falling5/862%4/850%39/6263%34%n=1+tx from settlement history blended with transcripts
Battery day0 times: Battery day, Q4’24 Jan '250 times: Battery day, Q1’25 Apr '250 times: Battery day, Q2’25 Jul '250 times: Battery day, Q3’25 Oct '250 times: Battery day, Q4’25 Jan '260 times: Battery day, Q1’26 Apr '260 times: Battery day, Q2’26 Jul '260 times: Battery day, Q3’26 Oct '26steady0/80%0/80%16/6226%14%n=1+tx from settlement history blended with transcripts
Berlin0 times: Berlin, Q4’24 Jan '252 times: Berlin, Q1’25 Apr '25, counts as said0 times: Berlin, Q2’25 Jul '250 times: Berlin, Q3’25 Oct '250 times: Berlin, Q4’25 Jan '264 times: Berlin, Q1’26 Apr '26, counts as said0 times: Berlin, Q2’26 Jul '261 time: Berlin, Q3’26 Oct '26, counts as saidrising3/838%2/825%22/6235%50%n=1+tx from settlement history blended with transcripts
Big Beautiful Billnever said0 times: Big Beautiful Bill, Q4’24 Jan '250 times: Big Beautiful Bill, Q1’25 Apr '250 times: Big Beautiful Bill, Q2’25 Jul '250 times: Big Beautiful Bill, Q3’25 Oct '250 times: Big Beautiful Bill, Q4’25 Jan '260 times: Big Beautiful Bill, Q1’26 Apr '260 times: Big Beautiful Bill, Q2’26 Jul '260 times: Big Beautiful Bill, Q3’26 Oct '26steady0/80%0/80%0/620%14%n=1+tx from settlement history blended with transcripts
Bigger and longer0 times: Bigger and longer, Q4’24 Jan '250 times: Bigger and longer, Q1’25 Apr '252 times: Bigger and longer, Q2’25 Jul '25, counts as said0 times: Bigger and longer, Q3’25 Oct '250 times: Bigger and longer, Q4’25 Jan '260 times: Bigger and longer, Q1’26 Apr '260 times: Bigger and longer, Q2’26 Jul '260 times: Bigger and longer, Q3’26 Oct '26falling1/812%1/812%1/622%18%n=1+tx from settlement history blended with transcripts
Crypto / Bitcoin1 time: Crypto / Bitcoin, Q4’24 Jan '25, counts as said2 times: Crypto / Bitcoin, Q1’25 Apr '25, counts as said2 times: Crypto / Bitcoin, Q2’25 Jul '25, counts as said0 times: Crypto / Bitcoin, Q3’25 Oct '251 time: Crypto / Bitcoin, Q4’25 Jan '26, counts as said1 time: Crypto / Bitcoin, Q1’26 Apr '26, counts as said1 time: Crypto / Bitcoin, Q2’26 Jul '26, counts as said1 time: Crypto / Bitcoin, Q3’26 Oct '26, counts as saidfalling7/888%7/888%10/6216%63%n=1+tx from settlement history blended with transcripts
Carbon Fiber / Composite0 times: Carbon Fiber / Composite, Q4’24 Jan '250 times: Carbon Fiber / Composite, Q1’25 Apr '250 times: Carbon Fiber / Composite, Q2’25 Jul '250 times: Carbon Fiber / Composite, Q3’25 Oct '250 times: Carbon Fiber / Composite, Q4’25 Jan '260 times: Carbon Fiber / Composite, Q1’26 Apr '260 times: Carbon Fiber / Composite, Q2’26 Jul '260 times: Carbon Fiber / Composite, Q3’26 Oct '26steady0/80%0/80%2/623%19%n=1+tx from settlement history blended with transcripts
Charging network0 times: Charging network, Q4’24 Jan '250 times: Charging network, Q1’25 Apr '250 times: Charging network, Q2’25 Jul '250 times: Charging network, Q3’25 Oct '250 times: Charging network, Q4’25 Jan '260 times: Charging network, Q1’26 Apr '260 times: Charging network, Q2’26 Jul '260 times: Charging network, Q3’26 Oct '26steady0/80%0/80%1/622%14%n=1+tx from settlement history blended with transcripts
Cluster1 time: Cluster, Q4’24 Jan '25, counts as said0 times: Cluster, Q1’25 Apr '250 times: Cluster, Q2’25 Jul '250 times: Cluster, Q3’25 Oct '250 times: Cluster, Q4’25 Jan '260 times: Cluster, Q1’26 Apr '260 times: Cluster, Q2’26 Jul '260 times: Cluster, Q3’26 Oct '26falling1/812%1/812%6/6210%18%n=1+tx from settlement history blended with transcripts
Cold Gasnever said0 times: Cold Gas, Q4’24 Jan '250 times: Cold Gas, Q1’25 Apr '250 times: Cold Gas, Q2’25 Jul '250 times: Cold Gas, Q3’25 Oct '250 times: Cold Gas, Q4’25 Jan '260 times: Cold Gas, Q1’26 Apr '260 times: Cold Gas, Q2’26 Jul '260 times: Cold Gas, Q3’26 Oct '26steady0/80%0/80%0/620%19%n=1+tx from settlement history blended with transcripts
Diner0 times: Diner, Q4’24 Jan '250 times: Diner, Q1’25 Apr '255 times: Diner, Q2’25 Jul '25, counts as said0 times: Diner, Q3’25 Oct '250 times: Diner, Q4’25 Jan '260 times: Diner, Q1’26 Apr '260 times: Diner, Q2’26 Jul '260 times: Diner, Q3’26 Oct '26falling1/812%1/812%1/622%18%n=1+tx from settlement history blended with transcripts
Fan Car / Ducted Fannever said0 times: Fan Car / Ducted Fan, Q4’24 Jan '250 times: Fan Car / Ducted Fan, Q1’25 Apr '250 times: Fan Car / Ducted Fan, Q2’25 Jul '250 times: Fan Car / Ducted Fan, Q3’25 Oct '250 times: Fan Car / Ducted Fan, Q4’25 Jan '260 times: Fan Car / Ducted Fan, Q1’26 Apr '260 times: Fan Car / Ducted Fan, Q2’26 Jul '260 times: Fan Car / Ducted Fan, Q3’26 Oct '26steady0/80%0/80%0/620%19%n=1+tx from settlement history blended with transcripts
Emission0 times: Emission, Q4’24 Jan '250 times: Emission, Q1’25 Apr '251 time: Emission, Q2’25 Jul '25, counts as said0 times: Emission, Q3’25 Oct '250 times: Emission, Q4’25 Jan '260 times: Emission, Q1’26 Apr '260 times: Emission, Q2’26 Jul '260 times: Emission, Q3’26 Oct '26steady1/812%1/812%7/6211%16%n=1+tx from settlement history blended with transcripts
Epsteinnever said0 times: Epstein, Q4’24 Jan '250 times: Epstein, Q1’25 Apr '250 times: Epstein, Q2’25 Jul '250 times: Epstein, Q3’25 Oct '250 times: Epstein, Q4’25 Jan '260 times: Epstein, Q1’26 Apr '260 times: Epstein, Q2’26 Jul '260 times: Epstein, Q3’26 Oct '26steady0/80%0/80%0/620%14%n=1+tx from settlement history blended with transcripts
Europe / European5 times: Europe / European, Q4’24 Jan '25, counts as said2 times: Europe / European, Q1’25 Apr '25, counts as said5 times: Europe / European, Q2’25 Jul '25, counts as said0 times: Europe / European, Q3’25 Oct '250 times: Europe / European, Q4’25 Jan '268 times: Europe / European, Q1’26 Apr '26, counts as said0 times: Europe / European, Q2’26 Jul '264 times: Europe / European, Q3’26 Oct '26, counts as saidsteady5/862%4/850%42/6268%69%n=1+tx from settlement history blended with transcripts
FAAnever said0 times: FAA, Q4’24 Jan '250 times: FAA, Q1’25 Apr '250 times: FAA, Q2’25 Jul '250 times: FAA, Q3’25 Oct '250 times: FAA, Q4’25 Jan '260 times: FAA, Q1’26 Apr '260 times: FAA, Q2’26 Jul '260 times: FAA, Q3’26 Oct '26steady0/80%0/80%0/620%19%n=1+tx from settlement history blended with transcripts
Fiscalnever said 10+ times0 times: Fiscal 10+ times, Q4’24 Jan '250 times: Fiscal 10+ times, Q1’25 Apr '250 times: Fiscal 10+ times, Q2’25 Jul '250 times: Fiscal 10+ times, Q3’25 Oct '250 times: Fiscal 10+ times, Q4’25 Jan '260 times: Fiscal 10+ times, Q1’26 Apr '260 times: Fiscal 10+ times, Q2’26 Jul '260 times: Fiscal 10+ times, Q3’26 Oct '26steady0/80%0/80%0/620%2%n=1+tx from settlement history blended with transcripts
Flying Car0 times: Flying Car, Q4’24 Jan '250 times: Flying Car, Q1’25 Apr '250 times: Flying Car, Q2’25 Jul '250 times: Flying Car, Q3’25 Oct '250 times: Flying Car, Q4’25 Jan '260 times: Flying Car, Q1’26 Apr '260 times: Flying Car, Q2’26 Jul '260 times: Flying Car, Q3’26 Oct '26steady0/80%0/80%1/622%12%n=1+tx from settlement history blended with transcripts
Gigacast / Gigacasting0 times: Gigacast / Gigacasting, Q4’24 Jan '250 times: Gigacast / Gigacasting, Q1’25 Apr '250 times: Gigacast / Gigacasting, Q2’25 Jul '250 times: Gigacast / Gigacasting, Q3’25 Oct '250 times: Gigacast / Gigacasting, Q4’25 Jan '260 times: Gigacast / Gigacasting, Q1’26 Apr '260 times: Gigacast / Gigacasting, Q2’26 Jul '260 times: Gigacast / Gigacasting, Q3’26 Oct '26steady0/80%0/80%2/623%14%n=1+tx from settlement history blended with transcripts
Hover / Hovering0 times: Hover / Hovering, Q4’24 Jan '250 times: Hover / Hovering, Q1’25 Apr '250 times: Hover / Hovering, Q2’25 Jul '250 times: Hover / Hovering, Q3’25 Oct '250 times: Hover / Hovering, Q4’25 Jan '260 times: Hover / Hovering, Q1’26 Apr '260 times: Hover / Hovering, Q2’26 Jul '260 times: Hover / Hovering, Q3’26 Oct '26steady0/80%0/80%2/623%19%n=1+tx from settlement history blended with transcripts
Incomenever said 10+ times2 times: Income 10+ times, Q4’24 Jan '25, below the threshold2 times: Income 10+ times, Q1’25 Apr '25, below the threshold1 time: Income 10+ times, Q2’25 Jul '25, below the threshold2 times: Income 10+ times, Q3’25 Oct '25, below the threshold4 times: Income 10+ times, Q4’25 Jan '26, below the threshold1 time: Income 10+ times, Q1’26 Apr '26, below the threshold1 time: Income 10+ times, Q2’26 Jul '26, below the threshold1 time: Income 10+ times, Q3’26 Oct '26, below the thresholdfalling0/80%0/80%0/620%7%n=1+tx from settlement history blended with transcripts
Inflation Reduction Act / IRA0 times: Inflation Reduction Act / IRA, Q4’24 Jan '250 times: Inflation Reduction Act / IRA, Q1’25 Apr '251 time: Inflation Reduction Act / IRA, Q2’25 Jul '25, counts as said1 time: Inflation Reduction Act / IRA, Q3’25 Oct '25, counts as said0 times: Inflation Reduction Act / IRA, Q4’25 Jan '260 times: Inflation Reduction Act / IRA, Q1’26 Apr '260 times: Inflation Reduction Act / IRA, Q2’26 Jul '260 times: Inflation Reduction Act / IRA, Q3’26 Oct '26steady2/825%1/812%7/6211%20%n=1+tx from settlement history blended with transcripts
Irannever said0 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 '260 times: Iran, Q3’26 Oct '26steady0/80%0/80%0/620%13%n=1+tx from settlement history blended with transcripts
Leader / Leadership0 times: Leader / Leadership, Q4’24 Jan '250 times: Leader / Leadership, Q1’25 Apr '250 times: Leader / Leadership, Q2’25 Jul '252 times: Leader / Leadership, Q3’25 Oct '25, counts as said1 time: Leader / Leadership, Q4’25 Jan '26, counts as said0 times: Leader / Leadership, Q1’26 Apr '260 times: Leader / Leadership, Q2’26 Jul '260 times: Leader / Leadership, Q3’26 Oct '26steady2/825%1/812%21/6234%24%n=1+tx from settlement history blended with transcripts
Lidar7 times: Lidar, Q4’24 Jan '25, counts as said0 times: Lidar, Q1’25 Apr '250 times: Lidar, Q2’25 Jul '250 times: Lidar, Q3’25 Oct '250 times: Lidar, Q4’25 Jan '260 times: Lidar, Q1’26 Apr '261 time: Lidar, Q2’26 Jul '26, counts as said0 times: Lidar, Q3’26 Oct '26falling2/825%1/812%4/626%19%n=1+tx from settlement history blended with transcripts
Lidar / Light Detection and Ranging10 times: Lidar / Light Detection and Ranging, Q4’24 Jan '25, counts as said0 times: Lidar / Light Detection and Ranging, Q1’25 Apr '250 times: Lidar / Light Detection and Ranging, Q2’25 Jul '250 times: Lidar / Light Detection and Ranging, Q3’25 Oct '250 times: Lidar / Light Detection and Ranging, Q4’25 Jan '260 times: Lidar / Light Detection and Ranging, Q1’26 Apr '261 time: Lidar / Light Detection and Ranging, Q2’26 Jul '26, counts as said0 times: Lidar / Light Detection and Ranging, Q3’26 Oct '26falling2/825%1/812%5/628%25%n=1+tx from settlement history blended with transcripts
Loyalty0 times: Loyalty, Q4’24 Jan '250 times: Loyalty, Q1’25 Apr '250 times: Loyalty, Q2’25 Jul '250 times: Loyalty, Q3’25 Oct '250 times: Loyalty, Q4’25 Jan '260 times: Loyalty, Q1’26 Apr '260 times: Loyalty, Q2’26 Jul '260 times: Loyalty, Q3’26 Oct '26steady0/80%0/80%5/628%14%n=1+tx from settlement history blended with transcripts
MAGA / Make America Great Againnever said0 times: MAGA / Make America Great Again, Q4’24 Jan '250 times: MAGA / Make America Great Again, Q1’25 Apr '250 times: MAGA / Make America Great Again, Q2’25 Jul '250 times: MAGA / Make America Great Again, Q3’25 Oct '250 times: MAGA / Make America Great Again, Q4’25 Jan '260 times: MAGA / Make America Great Again, Q1’26 Apr '260 times: MAGA / Make America Great Again, Q2’26 Jul '260 times: MAGA / Make America Great Again, Q3’26 Oct '26steady0/80%0/80%0/620%15%n=1+tx from settlement history blended with transcripts
Mars0 times: Mars, Q4’24 Jan '250 times: Mars, Q1’25 Apr '250 times: Mars, Q2’25 Jul '250 times: Mars, Q3’25 Oct '250 times: Mars, Q4’25 Jan '260 times: Mars, Q1’26 Apr '260 times: Mars, Q2’26 Jul '260 times: Mars, Q3’26 Oct '26steady0/80%0/80%1/622%15%n=1+tx from settlement history blended with transcripts
One-Piece Seat / Monolithic Seatnever said0 times: One-Piece Seat / Monolithic Seat, Q4’24 Jan '250 times: One-Piece Seat / Monolithic Seat, Q1’25 Apr '250 times: One-Piece Seat / Monolithic Seat, Q2’25 Jul '250 times: One-Piece Seat / Monolithic Seat, Q3’25 Oct '250 times: One-Piece Seat / Monolithic Seat, Q4’25 Jan '260 times: One-Piece Seat / Monolithic Seat, Q1’26 Apr '260 times: One-Piece Seat / Monolithic Seat, Q2’26 Jul '260 times: One-Piece Seat / Monolithic Seat, Q3’26 Oct '26steady0/80%0/80%0/620%19%n=1+tx from settlement history blended with transcripts
Price elasticity0 times: Price elasticity, Q4’24 Jan '250 times: Price elasticity, Q1’25 Apr '250 times: Price elasticity, Q2’25 Jul '250 times: Price elasticity, Q3’25 Oct '250 times: Price elasticity, Q4’25 Jan '260 times: Price elasticity, Q1’26 Apr '260 times: Price elasticity, Q2’26 Jul '260 times: Price elasticity, Q3’26 Oct '26steady0/80%0/80%1/622%14%n=1+tx from settlement history blended with transcripts
Quarter10+ times9 times: Quarter 10+ times, Q4’24 Jan '25, below the threshold13 times: Quarter 10+ times, Q1’25 Apr '25, counts as said16 times: Quarter 10+ times, Q2’25 Jul '25, counts as said7 times: Quarter 10+ times, Q3’25 Oct '25, below the threshold11 times: Quarter 10+ times, Q4’25 Jan '26, counts as said18 times: Quarter 10+ times, Q1’26 Apr '26, counts as said7 times: Quarter 10+ times, Q2’26 Jul '26, below the threshold19 times: Quarter 10+ times, Q3’26 Oct '26, counts as saidsteady5/862%5/862%52/6284%51%n=1+tx from settlement history blended with transcripts
Recession0 times: Recession, Q4’24 Jan '250 times: Recession, Q1’25 Apr '250 times: Recession, Q2’25 Jul '250 times: Recession, Q3’25 Oct '250 times: Recession, Q4’25 Jan '260 times: Recession, Q1’26 Apr '260 times: Recession, Q2’26 Jul '260 times: Recession, Q3’26 Oct '26steady0/80%0/80%7/6211%14%n=1+tx from settlement history blended with transcripts
Roadster5+ times1 time: Roadster 5+ times, Q4’24 Jan '25, below the threshold0 times: Roadster 5+ times, Q1’25 Apr '250 times: Roadster 5+ times, Q2’25 Jul '250 times: Roadster 5+ times, Q3’25 Oct '251 time: Roadster 5+ times, Q4’25 Jan '26, below the threshold1 time: Roadster 5+ times, Q1’26 Apr '26, below the threshold0 times: Roadster 5+ times, Q2’26 Jul '262 times: Roadster 5+ times, Q3’26 Oct '26, below the thresholdrising0/80%0/80%6/6210%8%n=1+tx from settlement history blended with transcripts
Shutdown / Shut Down0 times: Shutdown / Shut Down, Q4’24 Jan '251 time: Shutdown / Shut Down, Q1’25 Apr '25, counts as said0 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 '260 times: Shutdown / Shut Down, Q3’26 Oct '26steady1/812%1/812%13/6221%17%n=1+tx from settlement history blended with transcripts
Trillion1 time: Trillion, Q4’24 Jan '25, counts as said0 times: Trillion, Q1’25 Apr '250 times: Trillion, Q2’25 Jul '250 times: Trillion, Q3’25 Oct '250 times: Trillion, Q4’25 Jan '261 time: Trillion, Q1’26 Apr '26, counts as said0 times: Trillion, Q2’26 Jul '260 times: Trillion, Q3’26 Oct '26steady2/825%1/812%6/6210%24%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

Previous words

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