Boeing (BA)

EarningsTranscriptsUpdated

As of Oct 24, 2026, Kalshi and Polymarket have settled 58 word markets on Boeing’s earnings calls and other events since 2026, on 31 different words. Next call: Oct 27, 2026 (14 words listed).

Next: Earnings call ·

14 words listed · Occasion page

Who counts: Kalshi: company speakers + operator

Kalshi

Boeing: the words listed for Tue, Oct 27, 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
Space2 times: Space, Q3’24 Oct '24, counts as said1 time: Space, Q4’24 Jan '25, counts as said0 times: Space, Q1’25 Apr '255 times: Space, Q2’25 Jul '25, counts as said3 times: Space, Q3’25 Oct '25, counts as said0 times: Space, Q4’25 Jan '263 times: Space, Q1’26 Apr '26, counts as said2 times: Space, Q2’26 Jul '26, counts as saidsteady6/875%6/875%73/8190%71%n=3+tx from settlement history blended with transcripts82¢ Kalshi
NASA0 times: NASA, Q3’24 Oct '240 times: NASA, Q4’24 Jan '250 times: NASA, Q1’25 Apr '250 times: NASA, Q2’25 Jul '250 times: NASA, Q3’25 Oct '251 time: NASA, Q4’25 Jan '26, counts as said1 time: NASA, Q1’26 Apr '26, counts as said3 times: NASA, Q2’26 Jul '26, counts as saidrising3/838%2/825%31/8138%57%n=3+tx from settlement history blended with transcripts57¢ Kalshi
PAC-3 / PAC 30 times: PAC-3 / PAC 3, Q3’24 Oct '240 times: PAC-3 / PAC 3, Q4’24 Jan '250 times: PAC-3 / PAC 3, Q1’25 Apr '250 times: PAC-3 / PAC 3, Q2’25 Jul '251 time: PAC-3 / PAC 3, Q3’25 Oct '25, counts as said5 times: PAC-3 / PAC 3, Q4’25 Jan '26, counts as said2 times: PAC-3 / PAC 3, Q1’26 Apr '26, counts as said0 times: PAC-3 / PAC 3, Q2’26 Jul '26rising3/838%3/838%3/814%53%transcripts from the transcript model76¢ Kalshi
China1 time: China, Q3’24 Oct '24, counts as said1 time: China, Q4’24 Jan '25, counts as said25 times: China, Q1’25 Apr '25, counts as said2 times: China, Q2’25 Jul '25, counts as said0 times: China, Q3’25 Oct '252 times: China, Q4’25 Jan '26, counts as said2 times: China, Q1’26 Apr '26, counts as said0 times: China, Q2’26 Jul '26falling6/875%4/850%42/8152%50%n=2+tx from settlement history blended with transcripts50¢ Kalshi
Starliner0 times: Starliner, Q3’24 Oct '240 times: Starliner, Q4’24 Jan '251 time: Starliner, Q1’25 Apr '25, counts as said0 times: Starliner, Q2’25 Jul '250 times: Starliner, Q3’25 Oct '250 times: Starliner, Q4’25 Jan '260 times: Starliner, Q1’26 Apr '262 times: Starliner, Q2’26 Jul '26, counts as saidrising2/825%0/80%13/8116%38%n=3+tx from settlement history blended with transcripts55¢ Kalshi
F-470 times: F-47, Q3’24 Oct '240 times: F-47, Q4’24 Jan '254 times: F-47, Q1’25 Apr '25, counts as said1 time: F-47, Q2’25 Jul '25, counts as said0 times: F-47, Q3’25 Oct '252 times: F-47, Q4’25 Jan '26, counts as said2 times: F-47, Q1’26 Apr '26, counts as said0 times: F-47, Q2’26 Jul '26steady4/850%2/825%4/815%35%n=2+tx from settlement history blended with transcripts46¢ Kalshi
Wide-Body2 times: Wide-Body, Q3’24 Oct '24, counts as said0 times: Wide-Body, Q4’24 Jan '252 times: Wide-Body, Q1’25 Apr '25, counts as said3 times: Wide-Body, Q2’25 Jul '25, counts as said1 time: Wide-Body, Q3’25 Oct '25, counts as said1 time: Wide-Body, Q4’25 Jan '26, counts as said0 times: Wide-Body, Q1’26 Apr '260 times: Wide-Body, Q2’26 Jul '26falling5/862%4/850%59/8173%30%n=2+tx from settlement history blended with transcripts45¢ Kalshi
Iran / Hormuz0 times: Iran / Hormuz, Q3’24 Oct '240 times: Iran / Hormuz, Q4’24 Jan '250 times: Iran / Hormuz, Q1’25 Apr '250 times: Iran / Hormuz, Q2’25 Jul '250 times: Iran / Hormuz, Q3’25 Oct '250 times: Iran / Hormuz, Q4’25 Jan '261 time: Iran / Hormuz, Q1’26 Apr '26, counts as said0 times: Iran / Hormuz, Q2’26 Jul '26steady1/812%1/812%5/816%23%transcripts from the transcript model20¢ Kalshi
Tariff0 times: Tariff, Q3’24 Oct '240 times: Tariff, Q4’24 Jan '2528 times: Tariff, Q1’25 Apr '25, counts as said9 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 '26falling3/838%2/825%5/816%20%n=3+tx from settlement history blended with transcripts34¢ Kalshi
Dividend0 times: Dividend, Q3’24 Oct '242 times: Dividend, Q4’24 Jan '25, counts as said0 times: Dividend, Q1’25 Apr '250 times: Dividend, Q2’25 Jul '250 times: Dividend, Q3’25 Oct '251 time: Dividend, Q4’25 Jan '26, counts as said0 times: Dividend, Q1’26 Apr '260 times: Dividend, Q2’26 Jul '26falling2/825%0/80%53/8165%19%n=2+tx from settlement history blended with transcripts6¢ Kalshi
Artemis0 times: Artemis, Q3’24 Oct '240 times: Artemis, Q4’24 Jan '250 times: Artemis, Q1’25 Apr '250 times: Artemis, Q2’25 Jul '250 times: Artemis, Q3’25 Oct '250 times: Artemis, Q4’25 Jan '261 time: Artemis, Q1’26 Apr '26, counts as said0 times: Artemis, Q2’26 Jul '26steady1/812%1/812%3/814%19%n=1+tx from settlement history blended with transcripts12¢ Kalshi
Archernever said0 times: Archer, Q3’24 Oct '240 times: Archer, Q4’24 Jan '250 times: Archer, Q1’25 Apr '250 times: Archer, Q2’25 Jul '250 times: Archer, Q3’25 Oct '250 times: Archer, Q4’25 Jan '260 times: Archer, Q1’26 Apr '260 times: Archer, Q2’26 Jul '26steady0/80%0/80%0/810%14%transcripts from the transcript model34¢ Kalshi
Philippine Airlinesnever said0 times: Philippine Airlines, Q3’24 Oct '240 times: Philippine Airlines, Q4’24 Jan '250 times: Philippine Airlines, Q1’25 Apr '250 times: Philippine Airlines, Q2’25 Jul '250 times: Philippine Airlines, Q3’25 Oct '250 times: Philippine Airlines, Q4’25 Jan '260 times: Philippine Airlines, Q1’26 Apr '260 times: Philippine Airlines, Q2’26 Jul '26steady0/80%0/80%0/810%11%n=1+tx from settlement history blended with transcripts12¢ Kalshi
Airbus0 times: Airbus, Q3’24 Oct '240 times: Airbus, Q4’24 Jan '250 times: Airbus, Q1’25 Apr '250 times: Airbus, Q2’25 Jul '250 times: Airbus, Q3’25 Oct '250 times: Airbus, Q4’25 Jan '260 times: Airbus, Q1’26 Apr '260 times: Airbus, Q2’26 Jul '26steady0/80%0/80%20/8125%9%n=3+tx from settlement history blended with transcripts12¢ 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

1–20 of 20, most settled first
Boeing: 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
Iran0 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 '261 time: Iran, Q1’26 Apr '26, counts as said0 times: Iran, Q2’26 Jul '26steady1/812%1/812%6/817%23%n=2+tx from settlement history blended with transcripts
Moon1 time: Moon, Q3’24 Oct '24, counts as said0 times: Moon, Q4’24 Jan '250 times: Moon, Q1’25 Apr '250 times: Moon, Q2’25 Jul '250 times: Moon, Q3’25 Oct '250 times: Moon, Q4’25 Jan '260 times: Moon, Q1’26 Apr '260 times: Moon, Q2’26 Jul '26falling1/812%1/812%3/814%13%n=2+tx from settlement history blended with transcripts
Oil0 times: Oil, Q3’24 Oct '240 times: Oil, Q4’24 Jan '250 times: Oil, Q1’25 Apr '250 times: Oil, Q2’25 Jul '250 times: Oil, Q3’25 Oct '250 times: Oil, Q4’25 Jan '260 times: Oil, Q1’26 Apr '260 times: Oil, Q2’26 Jul '26steady0/80%0/80%21/8126%10%n=2+tx from settlement history blended with transcripts
Wide-body / Wide Body / 7873 times: Wide-body / Wide Body / 787, Q3’24 Oct '24, counts as said12 times: Wide-body / Wide Body / 787, Q4’24 Jan '25, counts as said10 times: Wide-body / Wide Body / 787, Q1’25 Apr '25, counts as said10 times: Wide-body / Wide Body / 787, Q2’25 Jul '25, counts as said16 times: Wide-body / Wide Body / 787, Q3’25 Oct '25, counts as said20 times: Wide-body / Wide Body / 787, Q4’25 Jan '26, counts as said9 times: Wide-body / Wide Body / 787, Q1’26 Apr '26, counts as said8 times: Wide-body / Wide Body / 787, Q2’26 Jul '26, counts as saidrising8/8100%8/8100%80/8199%73%n=1+tx from settlement history blended with transcripts
Air Force One0 times: Air Force One, Q3’24 Oct '240 times: Air Force One, Q4’24 Jan '250 times: Air Force One, Q1’25 Apr '250 times: Air Force One, Q2’25 Jul '250 times: Air Force One, Q3’25 Oct '250 times: Air Force One, Q4’25 Jan '260 times: Air Force One, Q1’26 Apr '260 times: Air Force One, Q2’26 Jul '26steady0/80%0/80%5/816%73%n=1+tx from settlement history blended with transcripts
Airplane10+ times16 times: Airplane 10+ times, Q3’24 Oct '24, counts as said24 times: Airplane 10+ times, Q4’24 Jan '25, counts as said36 times: Airplane 10+ times, Q1’25 Apr '25, counts as said24 times: Airplane 10+ times, Q2’25 Jul '25, counts as said29 times: Airplane 10+ times, Q3’25 Oct '25, counts as said29 times: Airplane 10+ times, Q4’25 Jan '26, counts as said34 times: Airplane 10+ times, Q1’26 Apr '26, counts as said23 times: Airplane 10+ times, Q2’26 Jul '26, counts as saidsteady8/8100%6/875%80/8199%85%n=1+tx from settlement history blended with transcripts
China / Chinese1 time: China / Chinese, Q3’24 Oct '24, counts as said1 time: China / Chinese, Q4’24 Jan '25, counts as said25 times: China / Chinese, Q1’25 Apr '25, counts as said2 times: China / Chinese, Q2’25 Jul '25, counts as said0 times: China / Chinese, Q3’25 Oct '252 times: China / Chinese, Q4’25 Jan '26, counts as said2 times: China / Chinese, Q1’26 Apr '26, counts as said0 times: China / Chinese, Q2’26 Jul '26falling6/875%4/850%42/8152%73%n=1+tx from settlement history blended with transcripts
Commercial13 times: Commercial, Q3’24 Oct '24, counts as said15 times: Commercial, Q4’24 Jan '25, counts as said12 times: Commercial, Q1’25 Apr '25, counts as said16 times: Commercial, Q2’25 Jul '25, counts as said12 times: Commercial, Q3’25 Oct '25, counts as said19 times: Commercial, Q4’25 Jan '26, counts as said10 times: Commercial, Q1’26 Apr '26, counts as said12 times: Commercial, Q2’26 Jul '26, counts as saidsteady8/8100%8/8100%80/8199%95%n=1+tx from settlement history blended with transcripts
Customer3+ times17 times: Customer 3+ times, Q3’24 Oct '24, counts as said21 times: Customer 3+ times, Q4’24 Jan '25, counts as said20 times: Customer 3+ times, Q1’25 Apr '25, counts as said23 times: Customer 3+ times, Q2’25 Jul '25, counts as said21 times: Customer 3+ times, Q3’25 Oct '25, counts as said27 times: Customer 3+ times, Q4’25 Jan '26, counts as said19 times: Customer 3+ times, Q1’26 Apr '26, counts as said13 times: Customer 3+ times, Q2’26 Jul '26, counts as saidsteady8/8100%8/8100%80/8199%92%n=1+tx from settlement history blended with transcripts
Defense8 times: Defense, Q3’24 Oct '24, counts as said7 times: Defense, Q4’24 Jan '25, counts as said4 times: Defense, Q1’25 Apr '25, counts as said8 times: Defense, Q2’25 Jul '25, counts as said5 times: Defense, Q3’25 Oct '25, counts as said8 times: Defense, Q4’25 Jan '26, counts as said16 times: Defense, Q1’26 Apr '26, counts as said4 times: Defense, Q2’26 Jul '26, counts as saidsteady8/8100%8/8100%80/8199%73%n=1+tx from settlement history blended with transcripts
Delivery / Delivered13 times: Delivery / Delivered, Q3’24 Oct '24, counts as said30 times: Delivery / Delivered, Q4’24 Jan '25, counts as said34 times: Delivery / Delivered, Q1’25 Apr '25, counts as said24 times: Delivery / Delivered, Q2’25 Jul '25, counts as said22 times: Delivery / Delivered, Q3’25 Oct '25, counts as said47 times: Delivery / Delivered, Q4’25 Jan '26, counts as said42 times: Delivery / Delivered, Q1’26 Apr '26, counts as said33 times: Delivery / Delivered, Q2’26 Jul '26, counts as saidrising8/8100%8/8100%80/8199%73%n=1+tx from settlement history blended with transcripts
Delivery10 times: Delivery, Q3’24 Oct '24, counts as said27 times: Delivery, Q4’24 Jan '25, counts as said28 times: Delivery, Q1’25 Apr '25, counts as said15 times: Delivery, Q2’25 Jul '25, counts as said17 times: Delivery, Q3’25 Oct '25, counts as said35 times: Delivery, Q4’25 Jan '26, counts as said34 times: Delivery, Q1’26 Apr '26, counts as said29 times: Delivery, Q2’26 Jul '26, counts as saidrising8/8100%8/8100%80/8199%97%n=1+tx from settlement history blended with transcripts
FAA7 times: FAA, Q3’24 Oct '24, counts as said6 times: FAA, Q4’24 Jan '25, counts as said10 times: FAA, Q1’25 Apr '25, counts as said7 times: FAA, Q2’25 Jul '25, counts as said18 times: FAA, Q3’25 Oct '25, counts as said5 times: FAA, Q4’25 Jan '26, counts as said7 times: FAA, Q1’26 Apr '26, counts as said6 times: FAA, Q2’26 Jul '26, counts as saidsteady8/8100%8/8100%43/8153%73%n=1+tx from settlement history blended with transcripts
Guidance0 times: Guidance, Q3’24 Oct '245 times: Guidance, Q4’24 Jan '25, counts as said1 time: Guidance, Q1’25 Apr '25, counts as said1 time: Guidance, Q2’25 Jul '25, counts as said0 times: Guidance, Q3’25 Oct '250 times: Guidance, Q4’25 Jan '260 times: Guidance, Q1’26 Apr '261 time: Guidance, Q2’26 Jul '26, counts as saidfalling4/850%0/80%70/8186%47%n=1+tx from settlement history blended with transcripts
Program31 times: Program, Q3’24 Oct '24, counts as said60 times: Program, Q4’24 Jan '25, counts as said30 times: Program, Q1’25 Apr '25, counts as said35 times: Program, Q2’25 Jul '25, counts as said41 times: Program, Q3’25 Oct '25, counts as said51 times: Program, Q4’25 Jan '26, counts as said34 times: Program, Q1’26 Apr '26, counts as said31 times: Program, Q2’26 Jul '26, counts as saidsteady8/8100%8/8100%80/8199%97%n=1+tx from settlement history blended with transcripts
Quarter15+ times34 times: Quarter 15+ times, Q3’24 Oct '24, counts as said28 times: Quarter 15+ times, Q4’24 Jan '25, counts as said49 times: Quarter 15+ times, Q1’25 Apr '25, counts as said59 times: Quarter 15+ times, Q2’25 Jul '25, counts as said55 times: Quarter 15+ times, Q3’25 Oct '25, counts as said35 times: Quarter 15+ times, Q4’25 Jan '26, counts as said55 times: Quarter 15+ times, Q1’26 Apr '26, counts as said34 times: Quarter 15+ times, Q2’26 Jul '26, counts as saidsteady8/8100%8/8100%80/8199%85%n=1+tx from settlement history blended with transcripts
Supply Chain11 times: Supply Chain, Q3’24 Oct '24, counts as said19 times: Supply Chain, Q4’24 Jan '25, counts as said12 times: Supply Chain, Q1’25 Apr '25, counts as said9 times: Supply Chain, Q2’25 Jul '25, counts as said12 times: Supply Chain, Q3’25 Oct '25, counts as said12 times: Supply Chain, Q4’25 Jan '26, counts as said10 times: Supply Chain, Q1’26 Apr '26, counts as said12 times: Supply Chain, Q2’26 Jul '26, counts as saidsteady8/8100%7/888%77/8195%73%n=1+tx from settlement history blended with transcripts
Consumernever said 10+ times0 times: Consumer 10+ times, Q3’24 Oct '240 times: Consumer 10+ times, Q4’24 Jan '250 times: Consumer 10+ times, Q1’25 Apr '250 times: Consumer 10+ times, Q2’25 Jul '250 times: Consumer 10+ times, Q3’25 Oct '250 times: Consumer 10+ times, Q4’25 Jan '260 times: Consumer 10+ times, Q1’26 Apr '260 times: Consumer 10+ times, Q2’26 Jul '26steady0/80%0/80%0/810%2%n=1+tx from settlement history blended with transcripts
Fraudnever said0 times: Fraud, Q3’24 Oct '240 times: Fraud, Q4’24 Jan '250 times: Fraud, Q1’25 Apr '250 times: Fraud, Q2’25 Jul '250 times: Fraud, Q3’25 Oct '250 times: Fraud, Q4’25 Jan '260 times: Fraud, Q1’26 Apr '260 times: Fraud, Q2’26 Jul '26steady0/80%0/80%0/810%11%n=1+tx from settlement history blended with transcripts
Iran / Middle East0 times: Iran / Middle East, Q3’24 Oct '240 times: Iran / Middle East, Q4’24 Jan '250 times: Iran / Middle East, Q1’25 Apr '250 times: Iran / Middle East, Q2’25 Jul '250 times: Iran / Middle East, Q3’25 Oct '250 times: Iran / Middle East, Q4’25 Jan '266 times: Iran / Middle East, Q1’26 Apr '26, counts as said1 time: Iran / Middle East, Q2’26 Jul '26, counts as saidrising2/825%2/825%24/8130%20%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 44 of 44 settled words resolved (100.0%). How we check.

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

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